(ENGLISH BELOW)
Care colleghe e colleghi,
Vi annunciamo che venerdì 19 Aprile si terrà la tredicesima giornata di seminari:
A SPRING DAY IN PROBABILITY AND STATISTICAL PHYSICS
Università degli studi di Firenze
Venerdì 19 Aprile 2024
Lecturers: Dalia Terhesiu (Leiden University) e Eric Cator (Radboud University)
Location: Sala Tricerri, Dipartimento di Matematica e Informatica Ulisse Dini, viale Morgagni
67/a, Firenze, Firenze
Ricordiamo che ciascun oratore farà una lezione introduttiva e divulgativa di 45 minuti pensata proprio per i non esperti, seguita da altri 45 minuti di tipo seminario (vedi programma). Maggiori informazioni sono reperibili alla pagina web dell’evento. Anche gli abstract degli interventi verranno presto caricati sulla pagina web.
Note pratiche: a coloro che fossero interessati (per una migliore organizzazione) chiediamo di compilare il seguente Google Form per indicare l'intenzione di partecipare alla giornata e in particolare al pranzo: https://docs.google.com/forms/d/e/1FAIpQLSdgYSLaBkY-mgklxu51i5z0kCQez2jZ46Z…
Vi aspettiamo numerosi e vi preghiamo di diffondere l’annuncio con chi pensiate possa essere interessato/a, in particolare giovani ricercatrici e ricercatori!
Luca Avena, Luisa Andreis e Gianmarco Bet
Scientific advisory committee: F. Caravenna, E.N.M. Cirillo, F. Colomo, P. Dai Pra, A. De Masi, C. Giardinà, R. Livi, F. Martinelli, I.G. Minelli, B. Scoppola, E. Scoppola.
PROGRAMMA
Prof. Dalia Terhesiu (Leiden University)
Title: Generalized law of iterated logarithm for dependent processes with superdiffusive behaviour
Prof. Eric Cator (Radboud University)
Title: Contact process on finite graphs
10:30-11:00 Welcome coffee
11.00-11.45 Introductory lecture: Terhesiu
11.45-12.15 Break
12.15-13.00 Seminar: Terhesiu
13.00-14.30 Pranzo
14.30-15.15 Introductory lecture: Cator
15.15-15.45 Break
15.45-16.30 Seminar: Cator
Trovate qui <https://drive.google.com/file/d/1IH-d2sWReUrurmadsz4Ew6MPRMbM-rlT/view?usp=…> il poster dell’evento.
—---------------------------------------------------
Dear colleagues,
We are pleased to announce that on Friday, April 19th, the thirteenth seminar day will take place:
A SPRING DAY IN PROBABILITY AND STATISTICAL PHYSICS
University of Florence
Friday 19 April 2024
Lecturers: Dalia Terhesiu (Leiden University) and Eric Cator (Radboud University)
Location: Tricerri Hall, Department of Mathematics and Computer Science Ulisse Dini, Viale Morgagni 67/a, Florence, Florence
We would like to remind you that each speaker will give an introductory and informative lecture of 45 minutes tailored for non-experts, followed by another 45 minutes of seminar-style presentation (see program). More information can be found on the event's webpage. The abstracts of the talks will also be uploaded to the webpage soon.
Practical notes: to those who are interested (for better organization), we kindly ask you to fill out the following Google Form to indicate your intention to participate in the day and especially for lunch:
https://docs.google.com/forms/d/e/1FAIpQLSdgYSLaBkY-mgklxu51i5z0kCQez2jZ46Z…
We look forward to seeing many of you and please feel free to share the announcement with those you think may be interested, particularly young researchers!
Luca Avena, Luisa Andreis, and Gianmarco Bet
Scientific advisory committee: F. Caravenna, E.N.M. Cirillo, F. Colomo, P. Dai Pra, A. De Masi, C. Giardinà, R. Livi, F. Martinelli, I.G. Minelli, B. Scoppola, E. Scoppola.
PROGRAM
Prof. Dalia Terhesiu (Leiden University)
Title: Generalized law of iterated logarithm for dependent processes with superdiffusive behavior
Prof. Eric Cator (Radboud University)
Title: Contact process on finite graphs
10:30-11:00 Welcome coffee
11:00-11:45 Introductory lecture: Terhesiu
11:45-12:15 Break
12:15-13:00 Seminar: Terhesiu
13:00-14:30 Lunch
14:30-15:15 Introductory lecture: Cator
15:15-15:45 Break
15:45-16:30 Seminar: Cator
Find the event poster here <https://drive.google.com/file/d/1IH-d2sWReUrurmadsz4Ew6MPRMbM-rlT/view?usp=…>.
----------------------------------------------------------------------
Gianmarco Bet (he/him)
Senior researcher
https://gianmarco.bet
Phone: (+39) 055 2751491
Department of Mathematics and Computer Science "U. Dini"
University of Florence
Viale Morgagni, 65
50134 Firenze, Italy
Office 64
----------------------------------------------------------------------
Dear colleagues,
We would like to advertise a Tenure-track assistant professor position (RTT) in Probability (MAT/06, 01/A3) that was just opened at the University of L'Aquila in the Department of Information Engineering, Computer Science and Mathematics. The tenure-track is with tenure to Associate Professor.
More details can be found here
https://bandi.mur.gov.it/jobs.php/public/job/id_job/118936
and here
https://www.univaq.it/include/utilities/blob.php?table=concorso_doc&id=352&…
The application deadline is on Thursday April 4, 2024 and it must be submitted electronically at
https://pica.cineca.it/univaq/2024rtt001/
We invite all interested candidates to contact us for any inquiry and for technical assistance with the application procedure, if needed. Notice that for those candidates who did not obtain a PhD from an Italian university an equivalence procedure for the title is required. More details can be found here
https://www.univaq.it/section.php?id=2201
We also welcome applications from candidates who initially do not speak italian. Our master programs are in english so there will not be any problem with teaching at the beginning. The teaching load is 60 hours before tenure (one course of 5 hours per week for a 12-week semester). After tenure the teaching load is the double (120 hours).
Please feel free to share this information with anyone interested.
Best wishes,
Alessia Nota
Buongiorno,
Gianmarco Bet (Università di Firenze) terrà un seminario alla Sapienza
Lunedì 18 Marzo alle 16:00. Sotto trovate i dettagli.
Saluti
Alessandra
*Time*: Monday 18 March, 16:00
*Room*: Sala di Consiglio, Department of Mathematics "Guido Castelnuovo",
Sapienza University of Rome
*Title:* Detecting a late changepoint in the preferential attachment model
*Abstract*: Motivated by the problem of detecting a change in the evolution
of a network, we consider the preferential attachment random graph model
with a time-dependent attachment function. Our goal is to detect whether
the attachment mechanism changed over time, based on a single snapshot of
the network at time $n$ and without directly observable information about
the dynamics. We cast this question as a hypothesis testing problem, where
the null hypothesis is a preferential attachment model with a constant
affine attachment parameter \delta_0, and the alternative hypothesis is a
preferential attachment model where the affine attachment parameter changes
from $\delta_0$ to $\delta_1$ at an unknown changepoint time $\tau_n$. For
our analysis we assume that the changepoint occurs close to the observation
time of the network, which corresponds to the relevant scenario where we
aim to detect the changepoint shortly after it has happened. We present two
tests based on the number of vertices with minimal degree. The first test
assumes knowledge of $\delta_0$, while the second does not. We show that
these are asymptotically powerful when $n-\tau_n \gg n^{1/2}$.
Furthermore, we prove that the test statistics for both tests are
asymptotically normal, allowing for accurate calibration of the tests. If
time allows, we will present numerical experiments to illustrate the finite
sample test properties.
--
*************************************************
Prof. Alessandra Faggionato
https://www1.mat.uniroma1.it/people/faggionato/
Department of Mathematics
University "La Sapienza"
Piazzale Aldo Moro, 5
00185 - Rome
Office 123, first floor
*************************************************
Dear Colleagues,
we would like to draw your attention to the upcoming 2024 IEEE
INTERNATIONAL WORKSHOP ON METROLOGY FOR LIVING ENVIRONMENT that will be
held at Chania, Crete, GREECE, June 12-14, 2024.
The following Special Session is open to receive your submissions.
PROBABILITY AND MATHEMATICAL STATISTICS FOR LIVING ENVIRONMENT AND METROLOGY
Probability Theory and Statistics provide powerful tools for the
development of new mathematical models to describe real life phenomena. In
particular, the use of metrology refers to living environment plays an
important role in many applicative fields to understand and identify
sources of variability and to minimise their influence. The aim of this
section is to cover the lack of probabilistic and machine learning
approaches in this area. In fact, one of the most significant advantages
using probabilistic models is to gain a comprehensive view of the
uncertainty associated with a measurement result. A special attention will
be give to results related to the quality of the living environment as a
direct impact on human health and well-being.
Website: https://www.metrolivenv.org/special-session-2
The deadline for Extended Abstract Submissions is March 22, 2024.
https://www.metrolivenv.org/call-for-papers
For further information and updates please visit the conference website:
https://www.metrolivenv.org/index.php/
We are looking forward to Welcome you in Chania!
Do not hesitate to forward this message to anyone who could be interested.
Thank you very much for your kind consideration, and apologies for multiple
copies.
We look forward to hearing from you.
Best Regards,
The Session Organizers
(apologies for cross-posting)
Dear colleagues,
I forward you the message below about the upcoming FrontUQ workshop.
Best regards,
Lorenzo Tamellini
===================================
Dear colleagues,
we are happy to announce a new edition of the FrontUQ-Workshop that will be
held in Braunschweig from September 24-27, 2024 with the topic "Uncertainty
Quantification (UQ) for Aerospace Engineering".
FrontUQ is a workshop of the GAMM-UQ activity group and the 2024 edition
will be jointly organized by groups of TU Braunschweig, Karlsruhe Institute
of Technology and the German Aerospace Center. Our goal is to allow for an
informal and fruitful exchange between the uncertainty quantification and
aerospace communities. The first day puts special emphasis on UQ software,
with multiple UQ software projects presenting themselves in hands-on
tutorials. The following days will host various keynote as well as
technical presentations and provide the chance to (re)connect with new and
old colleagues.
Abstract submission, software tutorial submission and registration will
open soon. Further information can be found at the workshop-webpage, where
also future information will be communicated:
https://www.frontuq-2024.com/
We are hoping to welcome you to FrontUQ-2024 in Braunschweig!
Philipp Bekemeyer, Sebastian Krumscheid, Ulrich Römer, Linus Seelinger
Please contact organizers(a)frontuq-2024.com for any questions.
Vi segnalo questa posizione di post-doc presso l'Università di Genova.
Cordialmente,
Ernesto De Vito
PostDoc position at University of Genoa, 1+1 year
Deadline: 29 mar 2024 at midday
Applications are invited for a 12 months + 12 months postdoctoral research position at University of Genova with a starting date beginning of May 2024.
The appointment is funded through the PRIN project "Gradient flows and Non-Smooth Geometric Structures with Applications to Optimization and Machine Learning", and it will focus on several topics of the project: optimal transport, geometric and non-smooth analysis, variational methods for evolution equations, and their possible applications to Machine Learning and optimization.
This is a research-oriented position at DIMA (department of mathematics), in MaLGa (Machine Learning Genoa Center). The expected gross salary is of €27.133 per annum.
Additional information and details on the appointment can be found at: https://unige.it/concorsi/assricerca (this position is listed in "DR 1184 del 8.3.2024", project no. 18).
Applications (see the details in the announcement) should be sent before March 29th, 2024 at midday through the website https://concorsi.unige.it/home/procedure/4582
For any further information, doubts, or inquiries please write to Simone Di Marino (simone.dimarino(a)unige.it)
Car* collegh*,
scusandomi in anticipo se avete già ricevuto l'annuncio, vi segnalo una
serie di iniziative sulle equazioni alle derivate parziali che si terranno
nel Regno Unito.
Cordiali saluti,
Enrico Scalas
--
Dear all,
Please bring the following announcement to the attention of anyone
interested.
I remind you that this event is part of a UK PDE network (homepage based at
the University of Bath) and supported by EPSRC/UKRI:
https://people.bath.ac.uk/rm257/pde-network/index.html
There will be a similar event in *Sussex 24-26 June 2024*. The link is
below (further details will be updated accordingly):
https://people.bath.ac.uk/rm257/nonlinear-PDEs-Sussex/index.html
For those interested there is also a related 5-day PDE conference in Oxford
next week (18-22 March):
https://www.maths.ox.ac.uk/groups/oxpde/oxpde-events/2024-uk-pde-network-me…
Best wishes,
Ali
------------------------------
*From:* Elaine Crooks <E.C.M.Crooks(a)Swansea.ac.uk>
*Sent:* Monday, March 11, 2024 11:01 AM
*Subject:* Second Announcement: Swansea Summer School in Nonlinear PDEs,
1-5 July 2024, Swansea University
Dear All,
*Swansea Summer School in Nonlinear PDEs *
*1 – 5 July 2024, Swansea University *
This is the second announcement of the Swansea Summer School in Nonlinear
PDEs, organised by the Cardiff-Swansea node of the EPSRC-funded
network Generalised
and low-regularity solutions for nonlinear PDEs
<http://people.bath.ac.uk/rm257/pde-network/>, that will take place at Swansea
University <https://www.swansea.ac.uk/>, UK, from 1-5 July 2024.
This School aims to enhance the training of PhD students and early career
researchers in the field through mini-courses and guest lectures on topics
ranging across nonlinear PDEs, and to offer researchers the opportunity to
interact with leaders in their fields, expose them to adjacent areas, and
build networks and collaborations among themselves. Participants will have
the opportunity to present a poster if they wish. The speakers will be:
Mini-courses:
- Martino Bardi <https://www.math.unipd.it/~bardi/> (Università degli
Studi di Padova, Italy)
*Fully nonlinear degenerate elliptic equations: qualitative properties
of viscosity solutions*
- Serena Dipierro
<https://research-repository.uwa.edu.au/en/persons/serena-dipierro>
(University
of Western Australia)
*Nonlocal equations and applications*
- Louis Jeanjean <https://lmb.univ-fcomte.fr/Jeanjean-Louis> (Université
de Franche-Comté, France)
*On nonlinear quantum graphs*
- Enrico Valdinoci
<https://research-repository.uwa.edu.au/en/persons/enrico-valdinoci>
(University
of Western Australia)
*Nonlocal minimal surfaces and phase transitions*
- Jean Van Schaftingen
<https://perso.uclouvain.be/jean.vanschaftingen/index.php?lang=en>
(UCLouvain,
Belgium
*Sobolev mappings into manifolds*
One-hour guest lecturers:
- John Ball <https://researchportal.hw.ac.uk/en/persons/john-ball>
(Heriot-Watt
University)
- Juan Davila
<https://researchportal.bath.ac.uk/en/persons/juan-davila-bonczos>
(University
of Bath)
- Nicolas Dirr <https://profiles.cardiff.ac.uk/staff/dirrnp> (Cardiff
University)
- Xue-Mei Li <https://www.imperial.ac.uk/people/xue-mei.li> (Imperial
College London)
- Florian Theil
<https://warwick.ac.uk/fac/sci/maths/people/staff/florian_theil/>
(University
of Warwick)
- Zoe Wyatt <https://www.dpmms.cam.ac.uk/person/zw253> (University of
Cambridge)
For more information, including how to register, please visit
https://math.swansea.ac.uk/staff/vm/SSS-PDE-2024/. Some partial funding is
available towards the financial support of PhD students and early career
researchers – details of how to apply are included in the registration form
that is linked to the School website.
*The deadline for applying for accommodation and financial support is
12noon on Monday 18th March.*
Support has been gratefully received from the Engineering and Physical
Sciences Research Council <https://www.ukri.org/councils/epsrc/> and the London
Mathematical Society <https://www.lms.ac.uk/>.
For informal enquiries, please contact one of the organisers: Elaine Crooks
(e.c.m.crooks(a)swansea.ac.uk), Federica Dragoni (DragoniF(a)cardiff.ac.uk), or
Vitaly Moroz (v.moroz(a)swansea.ac.uk).
Best regards,
Elaine Crooks (Swansea), Federica Dragoni (Cardiff), Vitaly Moroz
(Swansea)).
Dear colleagues,
We are glad to announce the following *hybrid* - that is, in person with
online streaming - *talk*:
SPEAKER: *Quentin Berger *(Sorbonne Université)
TITLE: *Some results about the Ising model on a Galton-Watson tree*
TIME: *Monday 18 March*, *10:30-11:30* (Rome time zone),
PLACE: building *U5*/*RATIO,* room *3014* - Dept. of Mathematics,
Università di *Milano-Bicocca*
*ABSTRACT*: The goal of my talk is to present some results on the Ising
model on a Galton-Watson tree. I will start with a general introduction,
recalling in particular the seminal results of Russell Lyons. I will then
present the results obtained in collaboration with Irene Ayuso Ventura
(University Paris-Est Créteil), which estimate the effect of a sparse
external field or boundary condition on the magnetisation of the root.
*Webex meeting link:*
https://unimib.webex.com/unimib-it/j.php?MTID=m17566503818a9f0252857ab86a9c…
*ID meeting:* 2744 704 8632
*Password:* KCmM2g4wms6
-
This talk is part of the
*(PMS)^2: Pavia-Milano Seminar series on Probability and Mathematical
Statistics*
organized jointly by the universities Milano-Bicocca, Pavia,
Milano-Politecnico.
Participation is free and welcome!
Best regards,
The organizers (Carlo Orrieri, Maurizia Rossi, Margherita Zanella)
--
Maurizia Rossi
Dipartimento di Matematica e Applicazioni
Università degli Studi di Milano-Bicocca
https://mauriziarossi.wordpress.com
Si avvisa che
in data 14-03-2024, alle ore 14:30 precise
presso il Politecnico di Milano,
in aula Consiglio (settimo piano Dipartimento di Matematica - edificio 14),
si svolgerà il seguente seminario della serie MOX Colloquia
Simon Wood, School of Mathematics, University of Edinburgh
Titolo: On Neighbourhood Cross Validation
Abstract: Cross validation is a well known method for estimating hyperparameters in complex regression models. It comes in many varieties, but some of the more interesting flavours require multiple model fits with consequently high cost. This talk shows how the high cost can be side-stepped for a wide range of models estimated using a quadratically penalized smooth loss, with rather low approximation error. Once the computational cost has the same leading order as a single model fit, it becomes feasible to efficiently optimize the chosen cross-validation criterion with respect to multiple smoothing/precision parameters. Interesting applications include cross-validating smooth additive quantile regression models, and the use of leave-out-neighbourhood cross validation for dealing with nuisance short range autocorrelation. The link between cross validation and the jackknife can be exploited to obtain reasonably well calibrated uncertainty quantification in these case.
Il link per seguire il seminario online sarà reso disponibile pochi minuti prima dell’avvio del seminario al seguente link
https://mox.polimi.it/mox-colloquia-seminars-list/mox-seminars/?id_evento=2…
Tutti gli interessati sono cordialmente invitati a partecipare,
Laura Sangalli
——
Laura Maria Sangalli
MOX - Dipartimento di Matematica
Politecnico di Milano
Piazza Leonardo da Vinci 32
20133 Milano - Italy
(+39) 02 2399 4554
laura.sangalli(a)polimi.it<mailto:laura.sangalli@polimi.it>
https://sangalli.faculty.polimi.it
Dear all,
we are glad to announce the following hybrid seminar
*March 19, 2024, 12:15 PM*
*Where*: Aula Delta 2C- edificio Zeta (Campus Scientifico), Via Torino,
155 Mestre (Venice, Italy)
Zoom:
https://unive.zoom.us/j/85153268624?pwd=MzBhdlA2M1B2dThJQ2Y5T0EwUE5PZz09
*Speaker*: Andrea Cappozzo, Università degli Studi di Milano (Milano, Italy)
*Title*: Penalized mixed-effects multitask learning: a framework for
regularizing multilevel models with applications on DNA methylation
biomarkers creation
*Abstract:*
Linear mixed modeling is a well-established technique widely employed
when observations possess a grouping structure. Nevertheless, this
standard methodology is no longer applicable when the learning framework
encompasses a multivariate response and high-dimensional predictors. To
overcome these issues, a penalized estimation scheme based on an
expectation-maximization (EM) algorithm is proposed, in which any
penalty criteria previously devised for fixed-effects models can be
conveniently incorporated into the fitting process. We employ the novel
methodology for creating surrogate biomarkers of cardiovascular risk
factors, such as lipids and blood pressure, from whole-genome DNA
methylation data in a multi-center study. The proposed approach shows
promising results in both predictive accuracy and bio-molecular
interpretation compared to state-of-the-art alternatives.
Based on joint work with Francesca Ieva and Giovanni Fiorito.
Visit this page https://www.unive.it/pag/41970/ for updates on our seminars.
Best regards,
Carlo Gaetan
--
-
Dipartimento di Scienze Ambientali, Informatica e Statistica - DAIS
Università Ca' Foscari - Venezia
Z.A12 - Edificio Zeta
Via Torino, 155
I-30172 Mestre (VE)
ITALY
phone: ++39 041 234 8404
e-mail:[gaetan"at"unive"dot"it]
web:[http://www.dais.unive.it/~gaetan]
Please don't print this e-mail unless you really need to.
Please avoid sending me Word, Excel or PowerPoint attachments. Seehttp://www.gnu.org/philosophy/no-word-attachments.html.
Per favore non stampate questo messaggio se non è proprio necessario.
Per favore non mandatemi allegati in Word, Excel o PowerPoint. Le ragioni sono spiegate quihttp://www.gnu.org/philosophy/no-word-attachments.it.html
Dear all,
We are very happy to announce the upcoming workshop PSPDE (Particle Systems and PDEs), to be held in Trieste from the 9th to the 13th of September 2024.
Here<https://sites.google.com/view/pspdexii> is the link of the website.
The aim of this series of conferences is to bring together established and young researchers in the area of particle systems, kinetic theory and PDEs.
This is the 12th edition of the series. As in the previous editions, we plan to have around 20 invited talks, two mini courses and two poster sessions. The two mini course lecturers will be Pietro Caputo (RomaTre University) and Chiara Saffirio (University of Basel).
Registration is free but mandatory. Participants presenting a poster and registering (here<https://docs.google.com/forms/d/e/1FAIpQLScLM2KqA9BXX27xxP0sXFCYNOFhAMva_bC…>) before the deadline (April 1) may apply for partial financial support.
Hoping to see many of you!
The organizers, Gioia Carinci, Chiara Franceschini (University of Modena), Patricia Gonçalves (University of Lisbon, IST), Federico Sau (University of Trieste), and Ana Jacinta Soares (University of Minho)
Dear all,
we are happy to announce the first Johns Hopkins University - University of Bologna Conference "Noncommutativity at the Interface of Topology, Geometry and Analysis", which will be held in Bologna on June 24 - 28, 2024.
Noncommutativity is a broad term that occurs in many areas of mathematics. Recently, there have been major developments around noncommutative phenomena related to all fundamental aspects of mathematics. The aim of the conference is to bring together experts in these diverse areas to share new ideas, discuss major recent advances and propose possible future directions.
The invited speakers include:
*
Jacob Bernstein (Johns Hopkins University, Baltimore, MD)
*
Luca Capogna (Smith College, Northampton, MA)
*
Alain Connes (Collège de France, Paris, France and IHES, Bures-sur-Yvette, France)
*
Enrico Le Donne (University of Fribourg, Fribourg, Switzerland)
*
Bruno Franchi (University of Bologna, Bologna, Italy)
* Shouhei Honda (Tohoku University, Sendai, Japan)
*
Kalina Mincheva (Tulane University, New Orleans, LA)
*
Jack Morava (Johns Hopkins University, Baltimore, MD)
*
Masanori Morishita (Kyushu University, Fukuoka, Japan)
* Henri Moscovici (Ohio State University, Columbus, OH)
*
Detlef Müller (Kiel University, Kiel, Germany)
*
Giovanni Paolini (University of Bologna, Bologna, Italy, to be confirmed)
* Thorsten Schimannek (Utrecht University, Utrecht, Netherlands)
*
Vyacheslav Shokurov (Johns Hopkins University, Baltimore, MD)
* Robert Young (NYU Courant Institute of Mathematical Sciences, New York, NY).
You can find more information and the registration form on the conference website:
https://sites.google.com/view/noncommutativity/
[https://lh3.googleusercontent.com/bel9z864PzAXkN5BHgx67VmQSha3RYyTG3EtZILOg…]<https://sites.google.com/view/noncommutativity/>
First JHU - UNIBO Conference<https://sites.google.com/view/noncommutativity/>
Speakers. Jacob Bernstein (Johns Hopkins University, Baltimore, MD) Luca Capogna (Smith College, Northampton, MA) Alain Connes (Collège de France, Paris, France and IHES, Bures-sur-Yvette, France) Enrico Le Donne (University of Fribourg, Fribourg, Switzerland) Bruno Franchi (University of
sites.google.com
The registration is free but mandatory; we can offer upon request some financial support for travel and lodging.
Best,
the organizing committee:
Giovanna Citti
Caterina Consani
Giacomo de Palma
Mattia Galeotti
Antonella Grassi
Mee Seong Im
Mikhail Khovanov
Nitu Kitchloo
Vittorio Martino
Yannick Sire
Eugenio Vecchi
Dear all,
We are happy to announce that on Monday, September 25th, at 15h00 in Aula Dal Passo of Tor Vergata Math Department, RoMaDS (https://www.mat.uniroma2.it/~rds/about.php) will host Marco Carfagnini (University of California San Diego) with the seminar
"Spectral gaps via small deviations”
Abstract: In this talk we will discuss spectral gaps of second order differential operators and their connection to limit laws such as small deviations and Chung’s laws of the iterated logarithm. The main focus is on hypoelliptic diffusions such as the Kolmogorov diffusion and horizontal Brownian motions on Carnot groups. If time permits, we will discuss spectral properties and existence of spectral gaps on general Dirichlet metric measure spaces.This talk is based on joint works with Maria (Masha) Gordina and Alexander (Sasha) Teplyaev.
We encourage in-person partecipation. Should you be unable to come, here is the link to the Teams streaming:
https://teams.microsoft.com/l/meetup-join/19%3arfsL73KX-fw86y1YnXq2nk5VnZFw…"Tid"%3a"24c5be2a-d764-40c5-9975-82d08ae47d0e"%2c"Oid"%3a"650fc4a8-4cec-4bd2-87bc-90d134074fe6”} <https://teams.microsoft.com/l/meetup-join/19%3arfsL73KX-fw86y1YnXq2nk5VnZFw…> .
The seminar is part of the Excellence Project MatMod@TOV.
As part of the scientific activity and educational offer of MaLGa - Machine Learning Genoa Center (https://malga.unige.it/)
we are glad to announce that applications are open for the following PhD courses:
DLCV - Deep Learning and Computer Vision 2024, two crash courses, one school (https://malga.unige.it/education/schools/dlcv2024), to be held 10-14 June 2024
Instructors: Francesca Odone, Nicoletta Noceti
The third edition of the DLCV (Deep Learning and Computer Vision) School provides a hands-on introduction to basic principles of deep
learning, computer vision, and their strong interconnection.
*Apply by April 1st 2024 *
MLCC - Machine Learning Crash Course 2024 (https://malga.unige.it/education/schools/mlcc2024) to be held 25-28 June 2024
Instructors: Lorenzo Rosasco, Silvia Villa, Simone Di Marino, Matteo Santacesaria
MLCC (Machine Learning Crash Course) was held for the first time in 2014 and has evolved in different formats Ince then.
It provides an introduction to the fundamental methods at the core of modern Machine Learning, covering theoretical foundations
as well as essential algorithms.
*Apply by April 1st 2024*
AHAML - Applied Harmonic Analysis and Machine Learning 2024 (https://malga.unige.it/education/schools/ahaml2024) to be held 2-6 September 2024
Instructors: Alberto Setti, Davide Bianchi
The school consists of three courses on applied harmonic analysis and machine learning.
*Register here by July 31st 2024*
Our schools are open to students, researchers and professionals. The maximum number of participants for each school is 120.
Ernesto De Vito
---------------------------------
DIMA - Dipartimento di Matematica
MaLGa - Machine Learning Genoa center
Via Dodecaneso 35
16146 Genova
Italy
e-mail: ernesto.devito(a)unige.it
Dear Colleagues,
The Universities of Insubria and Bicocca are collaborating to organize the next International Conference on Set Optimization for Applications (SOfA 2024), scheduled to take place in Stresa on June 3-7, 2024.
The 6th SOfA aims to bring together experts in various fields of set and vector optimization, convex and variational analysis, stochastic analysis, multivariate dynamic programming, multi-criteria decision-making, as well as applications in economics, risk measurement, game theory, and statistics. The conference is, by tradition, very open; the scientific and local committees aspire to extend beyond the realm of set and vector optimization, attracting individuals with a research background in optimization, even those only tangentially related to this topic. So, a very mixed and curious audience is expected.
Website: SOfA 2024<https://sites.google.com/view/sofa2024/home?authuser=0>
Invited speakers:
Ignacio Cascos<https://www.uc3m.es/ss/Satellite/UC3MInstitucional/en/Detalle/Organismo_C/1…> - Universidad Carlos III de Madrid
Giulia Di Nunno<https://www.mn.uio.no/math/english/people/aca/giulian/> - University of Oslo
Jin Ma<https://dornsife.usc.edu/jin-ma/> - University of Southern California
Call for papers:
We encourage submissions on any topic within the overall theme of the conference. The abstract submission template is available online via the Conference<https://sites.google.com/view/sofa2024/submissions?authuser=0> <https://sites.google.com/view/sofa2024/submissions?authuser=0> website<https://sites.google.com/view/sofa2024/submissions?authuser=0>. Abstracts should be submitted before March 31, 2024. Decisions regarding acceptance will be made by April 7, 2024.
Don't miss the opportunity to join us also for a scenic cruise trip on Lago Maggiore and enjoy the spectacle of its famous islands!
** Considering the high tourist demand in June, we strongly recommend booking as soon as possible. Availability is not guaranteed for last-minute bookings, and rates will increase as the conference start date approaches. **
We look forward to welcoming you in Stresa.
Elisa Mastrogiacomo
on behalf of the local organizers Paolo Bartesaghi, Fabio Bellini, Asmerilda Hitaj, Matteo Rocca, Emanuela Rosazza Gianin, Gianmario Tessitore, Daniela Visetti
Elisa Mastrogiacomo
-----------------------------------------
Professore Ordinario di
Metodi matematici dell'economia e delle scienze attuariali e finanziarie
DIPARTIMENTO D'ECCELLENZA 2023/2027
Università degli Studi dell'Insubria
Dipartimento di Economia
Via Monte Generoso, 71 – 21100 Varese
tel. +39 0332/395528
web: www.uninsubria.it<http://www.uninsubria.it/>
mail: elisa.mastrogiacomo(a)uninsubria.it<mailto:mario.rossi@uninsubria.it>
Chiaramente Insubria!
[LOGO-ATENEO-FONDO TRASPARENTE]<http://www.uninsubria.it/> [Facebook] <https://www.facebook.com/uninsubria> [Twitter] <https://twitter.com/Uni_Insubria> [Instagram] <https://instagram.com/uninsubria> [YouTube] <https://www.youtube.com/user/LabVAMultimedia>
Seminari on-line del gruppo UMI - PRISMA (http://www.umi-prisma.polito.it/ <http://www.umi-prisma.polito.it/>)
Ricordiamo che oggi, giovedì 7 marzo 2024, Luca Avena (Università di Firenze) e Matteo Quattropani (Sapienza Università di Roma) parleranno di
Incontri tra passeggiate aleatorie e dinamiche di opinione su grafi random
con il seguente orario:
16:00 Primo seminario
16:30 Pausa e discussione
16:45 Secondo seminario
17:15 Conclusione e discussione
Trovate di seguito il riassunto. I seminari verranno trasmessi via Zoom al seguente link:
https://uniroma1.zoom.us/j/82939128330 <https://uniroma1.zoom.us/j/82939128330>
Meeting ID: 829 3912 8330
Vi aspettiamo numerosi,
Valentina Cammarota e Francesco Caravenna
%%%%%%%%%%%%%%%%%%%%%%%%%%%%
RELATORI: Luca Avena (Università di Firenze) e Matteo Quattropani (Sapienza Università di Roma)
TITOLO: Incontri tra passeggiate aleatorie e dinamiche di opinione su grafi random
RIASSUNTO: Nella prima parte del seminario discuteremo risultati, classici o più recenti, della teoria che lega il comportamento di passeggiate aleatorie su grafi finiti a quello dei processi di coalescenza, e le relative implicazioni nell’analisi del tempo di consenso per dinamiche di opinione markoviane.
Nella seconda parte del seminario presenteremo uno specifico risultato, ottenuto recentemente in collaborazione con Federico Capannoli e Rajat Shubra Hazra (Leiden University), in cui il grafo sottostante è aleatorio, orientato, e con un arbitraria sequenza di gradi.
In particolare, in funzione della sequenza dei gradi scelta, identificheremo esplicitamente la legge dei tempi di incontro di due passeggiate aleatorie e, di conseguenza, il tempo di consenso per la dinamica di opinione associata. Discuteremo quindi delle implicazioni di questo risultato nel contesto applicativo del design delle reti, individuando le caratteristiche del grafo che tendono ad aumentare o a diminuire il tempo necessario a raggiungere il consenso.
%%%%%%%%%%%%%%%%%%%%%%%%%%%%
I seminari PRISMA hanno un formato di "colloquium", per creare un'occasione di scambio e discussione con tutta la comunità dei probabilisti e statistici italiani. Ogni giornata comprende due relatori che tengono due seminari di 30 minuti strettamente connessi, per presentare alla comunità una prospettiva sul proprio ambito di ricerca. Da quest'anno le registrazioni dei seminari vengono pubblicate sul canale YouTube dell'UMI: https://www.youtube.com/@umi1922/videos
%%%%%%%%%%%%%%%%%%%%%%%%%%%%
Si segnala il seguente seminario a tutti gli interessati.
Mercoledì 6 Marzo 2024, ore 11:30.
Aula Seminari III Piano, Dipartimento di Matematica, Politecnico di Milano.
Speaker: Andrea Di Primio.
Title: Stochastic diffuse interface models with conservative noise.
Abstract:
Cahn-Hilliard type models are widely used to model phase separation phenomena occurring in multicomponent systems subject to thermodynamical stress. In 1970, a stochastic variant taking into account thermal effects driving spinodal decomposition was proposed by H. Cook. This model generalizes its deterministic counterpart and better fits available experimental data, especially in the early stages of phase separation. In this talk, I will examine the stochastic analysis of an almost-surely mass-conserving stochastic Cahn-Hilliard model, which stems from the original Cahn-Hilliard-Cook model when endowed with a conservative noise in divergence form. The mass conservation property is indeed expected in the deterministic version of the system. Our first-step investigation concerns the existence of unique probabilistically strong solutions to the equation, appealing to stochastic variational techniques. Some insights on the corresponding Allen-Cahn relaxation, for which we show conditional results, will also be given. In all models, a thermodynamical singular potential is considered. Further open questions will also be presented.
Link Zoom:
https://polimi-it.zoom.us/j/96554067742?pwd=Wm9JZTZZcWV0Tkpld1dHUHlXS0R0Zz09
Link Seminario Polimi:
https://www.mate.polimi.it/eventi/?id=2393
-----
Luca Scarpa, PhD
Associate Professor
Department of Mathematics
Politecnico di Milano
Via E. Bonardi 9
20133 Milano, Italy
e.mail: luca.scarpa(a)polimi.it
url: https://sites.google.com/view/lucascarpa
SEMINARS IN STATISTICS @ COLLEGIO CARLO ALBERTO
<https://www.carloalberto.org/events/category/seminars/seminars-in-statistic…>
Venerdi 8 Marzo 2024, alle ore 12.00, presso il Collegio Carlo Alberto, in
Piazza Arbarello 8, Torino, si terrà il seguente seminario:
------------------------------------------------
Speaker: Jaromir Sant (University of Oxford UK)
Title: *Inferring natural selection and allele age from allele frequency
time series data via exact simulation*
Abstract:
A standard problem in population genetics is that of inferring evolutionary
and biological parameters such as the strength of natural selection and
allele age from DNA samples. Up until recently, most of the datasets
available for such a task were obtained by sampling individuals from a
contemporaneous population simultaneously, thereby offering a static
snapshot of the population’s genetic diversity. However, recent advances in
DNA extraction and sequencing technologies have allowed for ancient DNA
found at archaeological sites to be analysed, leading to the creation of
several time-series datasets detailing historical changes in allele
frequencies. These datasets have paved the way for the development of
powerful inferential techniques which explicitly exploit this new temporal
dependence in the data to provide better estimators. In this talk I shall
introduce a Markov Chain Monte Carlo framework which allows for inferring
selection and allele age based on time-series data coming from an
underlying Wright-Fisher diffusion. The chief novelty is that by augmenting
the state space with the unobserved diffusion trajectory we are able to
develop an efficient method in which trajectory updates and accept/reject
probabilities can be calculated without error, in spite of the diffusion’s
intractable transition density. We illustrate the method’s performance on
simulated data, and subsequently apply it to an ancient DNA horse dataset.
This is joint work with Paul Jenkins (Warwick), Jere Koskela (Newcastle),
and Dario Spanò (Warwick).
------------------------------------------------
Sarà possibile seguire il seminario anche in streaming:
Join Zoom Meeting
<https://us02web.zoom.us/j/87097731960?pwd=TjZ3YlNEbjFYeW9sUkl6OXN2SDB1QT09>
Il seminario è organizzato dalla "de Castro" Statistics Initiative
www.carloalberto.org/stats
--
Pierpaolo De Blasi
University of Torino & Collegio Carlo Alberto
carloalberto.org/pdeblasi
<https://sites.google.com/a/carloalberto.org/pdeblasi/>
Dear Colleagues,
we would like to draw your attention to the upcoming 2024 IEEE
INTERNATIONAL WORKSHOP ON METROLOGY FOR LIVING ENVIRONMENT that will be
held at Chania, Crete, GREECE, June 12-14, 2024.
The following Special Session is open to receive your submissions.
PROBABILITY AND MATHEMATICAL STATISTICS FOR LIVING ENVIRONMENT AND METROLOGY
Probability Theory and Statistics provide powerful tools for the
development of new mathematical models to describe real life phenomena. In
particular, the use of metrology refers to living environment plays an
important role in many applicative fields to understand and identify
sources of variability and to minimise their influence. The aim of this
section is to cover the lack of probabilistic and machine learning
approaches in this area. In fact, one of the most significant advantages
using probabilistic models is to gain a comprehensive view of the
uncertainty associated with a measurement result. A special attention will
be give to results related to the quality of the living environment as a
direct impact on human health and well-being.
Website: https://www.metrolivenv.org/special-session-2
The deadline for Extended Abstract Submissions is March 10, 2024.
https://www.metrolivenv.org/call-for-papers
For further information and updates please visit the conference website:
https://www.metrolivenv.org/index.php/
We are looking forward to Welcome you in Chania!
Do not hesitate to forward this message to anyone who could be interested.
Thank you very much for your kind consideration, and apologies for multiple
copies.
We look forward to hearing from you.
Best Regards,
The Session Organizers
Dr Antonella Iuliano
Assistant Professor (RTD-B) in Probability and Mathematical Statistics
Department of Mathematics, Computer Science, and Economics
<https://portale.unibas.it/site/en/home/about-us/departments-and-schools/art…>
(DIMIE)
University of Basilicata
Viale dell'Ateneo Lucano, n. 10, 85100, Potenza (Italy)
e-mail: antonella.iuliano(a)unibas.it <mariagrazia.russo(a)unibas.it>
phone: +39 0971205891
mobile: +39 3926786025
23nd INTERNATIONAL CONFERENCE
CREDIT 2024
*The frontiers of new risks:
AI, digital and sustainability transitions *
Venice, Italy
3 –4 October 2024
*
*
*GRETA Associati* (Venice, Italy),*CRIF* (Bologna, Italy), *European
Datawarehouse *(Frankfurt am Main, Germany), *European Investment Fund*
(Luxembourg), *Intesa Sanpaolo* (Milan, Italy) and *Modefinance*
(Trieste, Italy) are partners in organising a Conference to be held in
Venice on October 3-4, 2024. *
*
The CREDIT 2024 conference will bring together academics, practitioners
and PhD students working in various areas of financial and
socio-economic risk with the aim of creating a unique opportunity for
participants to discuss research progress and policy as well as
industry-relevant insights and directions for future research.
CREDIT 2024 is the *twenty-thrid* in a series of events dedicated to
various aspects of credit risk and organised under the auspices of: the
*Department of Economics *and*VERA - Venice centre in Economic and Risk
Analytics for public policies* - of the *Ca’ Foscari University of
Venice*,*Joint Research Center European Commission*, *ABI - Italian
Banking Association*, *AIAF - Associazione Italiana per l'Analisi
Finanziaria*, *AIFIRM - Associazione Italiana Financial Industry Risk
Managers*.
Sustainability necessarily involves the adaptation of today’s business
model to the dynamic nature of the current digitalised environments.
Corporations need to make sure that resources, especially technology,
are being used responsibly and efficiently to improve the lives of the
present generations and future generations as well as strengthen their
relationships with the environment as to solve sustainability-related
problems such as poverty, environmental degradation, pollution and
inequality.
Artificial Intelligence (AI) has the potential to address these societal
problems including sustainability. The climate crisis and the
degradation of the physical environment are complex problems that
require the most innovative and advanced solutions. The real value of AI
hence lies in its ability to facilitate and foster environmental and
social governance, rather just as a tool to reduce pollution, poverty
and resource depletion.
In the age of AI, societies depend on big data, social media, knowledge
management and data science to survive and achieve these sustainability
goals. AI has the potential to reshape not only finance and industry but
also the whole society. There is need to understand opportunities and
challenges as to properly manage all relevant risks.
The organisers encourage submissions on any topic within the overall
theme of the conference, with attention to *the use of AI to assess the
sustainability impact of finance *(i.e. exploiting AI techniques or Big
Data to bridge primary information gaps and proxy the sustainability
impact) and *on how climate and digital risks may interact* (i.e.
climate denial, social media and social media strategies including
deepfakes).
The final program will include both submitted and invited papers.
Acceptances received so far from invited speakers include *Patrick
Bolton *(Imperial College London), and *Roberto Rigobon* (MIT Sloan
School of Management). The Conference will also include panel
discussions on the major issues at stake with the views of researchers',
practitioners' and policy makers.
The SCIENTIFIC COMMITTEE for the Conference consists of:
*Marcin Kacperczyk *(Imperial College London, Programme Chair)
*Monica Billio* (Ca’ Foscari University of Venice & GRETA)
*Marie Brière* (AMUNDI & Université Libre de Bruxelles)
*Lucia Alessi* (Joint Research Center, European Commission)
*Leonardo Gambacorta *(Bank For International Settlements)
*Mila Getmansky* (Isenberg School of Management, UMass Amherst)
*Christian Gollier* (Toulouse School of Economics)
*Helmut Kraemer-Eis *(European Investment Fund)
*Jan Pieter Krahnen *(Leibniz Institute for Financial Research SAFE &
Goethe University)
*Steven Ongena* (University of Zurich, Swiss Finance Institute, KU
Leuven, NTNU Business School & CEPR)
*Roberto Rigobon *(MIT Sloan School of Management)
*Stephen Schaefer* (London Business School)
*Marti Subrahmanyam *(NYU Stern Business School)
CALL FOR PAPERS
Those wishing to present a paper at the Conference should submit by *May
31, 2023 *to the address given below (preferably in electronic format).
Please indicate to whom correspondence should be addressed. Decisions
regarding acceptance will be made by *June 30, 2023*. The final version
of accepted papers must be received by August 31, 2023.
Please send papers to:
GRETA Associati, San Polo, 2605 - 30125 Venice, ITALY
Phone : +39 041 5238178 - e-mail: credit(a)greta.it
More detailed information available on the Conference website:
https://www.greta.it/index.php/it/credit-202
Cari colleghi,
Inoltro questo annuncio di conferenza che può essere di interesse per alcuni.
Grazie.
Saluti,
Gianni
—
Gianni Pagnini
Ikerbasque Research Associate
BCAM - Basque Center for Applied Mathematics
Alameda de Mazarredo, 14
E-48009 Bilbao, Basque Country - Spain
Tel. +34 946 567 842
gpagnini(a)bcamath.org | www.bcamath.org/gpagnini
( matematika mugaz bestalde )
> Begin forwarded message:
>
> From: "Yana Kinderknecht (Butko)" <yanabutko(a)yandex.ru>
> Subject: information about the OPSO 2024 Conference
> Date: 29 February 2024 at 21:14:09 CET
> To: "gpagnini(a)bcamath.org" <gpagnini(a)bcamath.org>
>
> Dear Gianni,
>
> I am in the Organizing Committee of the OPSO 2024 Conference (all information is below). If you or somebody from your team / colleagues are interested in participation, you all are welcome!!! Please, feel free to disseminate this information!
>
> Best wishes,
> Yana
>
> _________________________________________________________________________________
>
> Dear colleagues!
>
> We invite you to participate at the International Conference
>
> ONE-PARAMETER SEMIGROUPS OF OPERATORS 2024:
> STOCHASTICS & DYNAMICS
> JUNE 3-7, 2024
> This is the fourth conference of the series "One-Parameter Semigroups of Operators" (OPSO), hosted this year by Laval University, Quebec City, Canada.
>
> The conference will bring together researchers who use operator-theoretic, harmonic-analytic and semigroup-theoretic methods to study PDEs arising in Mathematical Physics and Stochastic Dynamics. The following topics will be covered:
>
> One-parameter (semi)groups of linear operators, their applications and generalizations
> Semigroups of operators and Markov processes
> Singular stochastic dynamics
> Spectral theory, Schrödinger operators and unique continuation
> Non-local operators, operator inequalities and heat kernel bounds
> Nonlinear PDEs and stochastic equations
> Quantum physics, quantum information and quantum dynamical semigroups
> Applications of semigroups in natural sciences
>
> The conference will be held online via Zoom. Participation in the conference is free, registration is required to get the password for the Zoom sessions. Registration is already open and will be open until the end of the conference. The deadline for abstract submission is May 20, 2024.
>
> Please find further information and the registration form at the website of the conference:
>
> https://www.opso2024.fsg.ulaval.ca/ <https://www.opso2024.fsg.ulaval.ca/>
> Looking forward to meeting you at the Conference!
>
> Organizing Committee
>
Dear colleagues,
We have opened a 1-year postdoctoral position at the Economics Department of the University of Verona (scientific sector SECS-S06: mathematical models for economics and finance).
The research position is opened as part of the PRIN PNRR project “Probabilistic Methods for Energy Transition” and it is ideally meant for young researchers.
The research program aims at studying, from the theoretical and numerical point of view, optimal control problems for the evaluation and optimization of renewable energy sources.
Details on the position and the application procedure are available at the following link:
https://www.univr.it/it/concorsi/assegnisti-di-ricerca/assegni-di-ricerca/0…
Candidates will be evaluated based on their scientific quality and their potential in developing research. There is no teaching obligation and knowledge of Italian is not required.
The deadline for the application is the 19th of March 2024 (h. 13.00).
The Economics Department of the University of Verona has been recognised as “Dipartimento di Eccellenza” (Department of Excellence) in the last Italian Government research evaluation.
The research group in quantitative and mathematical finance of the University of Verona offers a vibrant and young working environment. Members of the group:
- Alessandro Gnoatto (full professor)
- Cecilia Mancini (full professor)
- Cosimo-Andrea Munari (associate professor)
- Athena Picarelli (associate professor and local coordinator of the
project)
- Andrea Mazzon (tenure-track assistant professor)
- Sara Svaluto-Ferro (tenure-track assistant professor)
- Jonathan Tam (post-doc)
University partners of the project are:
- Università di Milano Statale (local coordinator and PI of the project: Prof. Luciano Campi)
- Università di Padova (local coordinator: Prof. Tiziano Vargiolu)
- Università di Torino (local coordinator: Prof. Tiziano De Angelis)
The call is in Italian, we will be happy to provide help to non Italian
speakers with the application form.
IMPORTANT: please, avoid including links to personal webpages when submitting your application to ensure the correct reception of your messages.
For any query and help needed please contact: athena.picarelli(a)univr.it<mailto:athena.picarelli@univr.it>
Best regards.
Dear all,
we are glad to announce the following hybrid seminar
*March 12, 2024, 12:15 PM*
*Where*: Aula Delta 2C- edificio Zeta (Campus Scientifico), Via Torino,
155 Mestre (Venice, Italy)
Zoom:
https://unive.zoom.us/j/85153268624?pwd=MzBhdlA2M1B2dThJQ2Y5T0EwUE5PZz09
*Speaker*: Alessandra Menafoglio, Politecnico di Milano (Milano, Italy)
*Title*: The Bayes space approach to functional data analysis for
probability density functions
*Abstract:*
In the presence of increasingly massive and heterogeneous data, the
statistical modeling of distributional observations plays a key role.
Choosing the ‘right’ embedding space for these data is of paramount
importance for their statistical processing, to account for their nature
and inherent constraints. The Bayes space theory is a natural embedding
space for (spatial) distributional data, and was successfully applied in
varied settings. In this presentation, I will discuss the
state-of-the-art methods for the modelling, analysis, and prediction of
distributional data, with a particular attention to cases when their
spatial dependence cannot be neglected. I will embrace the viewpoint of
object-oriented spatial statistics (O2S2), a system of ideas for the
analysis of complex data with spatial dependence. All the theoretical
developments will be illustrated through their application on real data,
highlighting the intrinsic challenges of a statistical analysis which
follows the Bayes spaces approach.
Best regards,
Carlo Gaetan
--
-
Dipartimento di Scienze Ambientali, Informatica e Statistica - DAIS
Università Ca' Foscari - Venezia
Z.A12 - Edificio Zeta
Via Torino, 155
I-30172 Mestre (VE)
ITALY
phone: ++39 041 234 8404
e-mail:[gaetan"at"unive"dot"it]
web:[http://www.dais.unive.it/~gaetan]
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