*On behalf of the Director of the Department of Statistical Sciences of the
University of Padua:*
SAVE THE DATE!
*International conference “Statistical Methods and Models for Complex Data”*
, *21-23 September 2022, Padova, Italy*
The Department of Statistical Sciences of the University of Padova is
organizing the international conference: “Statistical Methods and Models
for Complex Data”. The conference will be held in Padova, Italy on 21-23
September 2022.
The event is organized on the occasion of the 800th anniversary of the
University of Padua and the last year of the excellence project of our
department.
The scientific program will include plenary sessions, with 45 minutes
invited presentations from internationally recognized experts, followed by
25 minutes for interventions of two main discussants and informal moments
of discussion and interaction between the participants.
Participation of senior and young scientists involved in the developments
of statistical methods and tools for complex data is strongly encouraged.
The scientific program of the conference is available on the website
*http://800years.stat.unipd.it
<http://800years.stat.unipd.it>*.
For further information, please contact: 800years(a)stat.unipd.it
Ricevo ed inoltro.
---------- Forwarded message ---------
Da: Mark Veraar - EWI <M.C.Veraar(a)tudelft.nl>
Date: mar 5 apr 2022 alle ore 15:43
Subject: two PhD positions
To: Mark Veraar - EWI <M.C.Veraar(a)tudelft.nl>
Dear all,
Within my NWO Vici grant
"Foundations of Stochastic Partial Differential Equations" (FoundSPDE)
I have two PhD positions available. It would be great if you could forward
this announcement to potential candidates.
Short description:
At the Delft Institute for Applied Mathematics (DIAM), part of Delft
University of Technology (TU Delft), NL, two full-time PhD positions in the
mathematical analysis of stochastic partial differential equations are
offered. The PhD candidate will be supervised by Prof.dr.ir. M.C. Veraar
(part of the Analysis Group at DIAM). The focus of both of the projects is
on well-posedness, regularity, long-time behavior, large deviations and/or
approximation of solutions to parabolic and hyperbolic SPDEs of semi- and
quasi-linear type. A background in Probability Theory and/or Analysis is
preferable.
The deadline for application is June 24th. For further details see
https://www.tudelft.nl/over-tu-delft/werken-bij-tu-delft/vacatures/details?…
Best regards,
Mark Veraar
----------------------------
Professor dr. ir. M.C. Veraar
Analysis section
Delft Institute of Applied Mathematics.
Faculty EEMCS
Delft University of Technology
https://fa.ewi.tudelft.nl/~veraar/
Dear colleagues,
We are happy to announce the following hybrid - that is, in person with online streaming - talk:
Speaker: Daria Ghilli (Università di Pavia)
Title: A mean field game model in economics with spatial interactions in the human capital
Abstract: We study an economic model where each agent chooses its position in space and its level of human capital maximizing its own utility and interacts with the other agents through the human capital. The main peculiarity of the model we consider consists in the presence of a spatial interaction term in the dynamic of the human capital, i.e. spatial spillovers on the accumulation of human capital and in the utility, i.e. spatial spillovers on the consumption. We adopt a Mean Field Game (MFG) approach and study a system of two partial differential equations, the MFG system, which arises as the continuum macroscopic description of the discrete multi-agents system emerging, heuristically, as the limit as the number of agents tends to infinity. The MFG system we study is expected to approximate Nash equilibria for the discrete multi-agents system when the number of players tends to infinity. This is a joint work with C. Ricci (Pisa) and G. Zanco (LUISS).
Date and time: Monday April 11, 14:00-15:00 (Rome time zone)
Place: Aula Beltrami, dipartimento di matematica dell’università di Pavia, via Ferrata 5, Pavia.
Zoom Link:
https://us02web.zoom.us/j/83190110958?pwd=QW5tOC9tcGgyTDNtaUJvenIrdGNZQT09 <https://us02web.zoom.us/j/83190110958?pwd=QW5tOC9tcGgyTDNtaUJvenIrdGNZQT09>
ID riunione: 831 9011 0958
Passcode: 384911
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 and Milano-Statale.
Participation is free and welcome!
Best regards
The organizers (Mario Maurelli, Carlo Orrieri, Maurizia Rossi, Margherita Zanella)
Cari tutti,
vi mando sotto un messaggio in Inglese, cosi' che possa essere forwardato
anche a stranieri.
Grazie della collaborazione!
Saluti
Alessandra
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
Dear all,
Here in La Sapienza we have special grants for visiting
professors/researchers from risk areas (such as Ukraine but also Russia)
for up to 6 months with a gross salary of 3000 euros. These grants are for
persons who have been/are exposed to some risk, e.g. they had to leave
their countries.
Do you know of some probabilists or other people working with probability
who could be interested and are in a situation of necessity?
The deadline of the application is *April 11* 12:00 (midday) and the
application has to be done by a person in La Sapienza.
Thanks
Best
Alessandra Faggionato, Vittoria Silvestri and Lorenzo Taggi
--
*************************************************
Prof. Alessandra Faggionato
http://www1.mat.uniroma1.it/~faggionato/
Department of Mathematics
University "La Sapienza"
Piazzale Aldo Moro, 5
00185 - Rome
Office 5, Phone (0039) 06 49913252
*************************************************
Dear all,
Politecnico di Torino is organizing the second edition of the following two events on Chemical Reaction Networks
1) Summer School on Stochastic Reaction Networks,10-16 July, 2022, Torgnon, Aosta Valley, Italy
Instructors: David F Anderson (University of Wisconsin, Madison, US), L. Popovic (Concordia University, Montreal, CA).
More info at
https://areeweb.polito.it/disma-excellence/events_2022/CRNs/index.html
2) Workshop on Chemical Reaction Networks, 6-8 July, 2022, Torino, Italy
This second event is taking place at Politecnico di Torino, and will cover both stochastic and deterministic Chemical Reaction Networks, modelling and inference.
More info at
https://areeweb.polito.it/disma-excellence/events_2022/CRNs_workshop/index.…
Please forward this info to all potentially interested people you may know, especially to the youngest.
With kindest regards, the organizers
Daniele Cappelletti
Enrico Bibbona
Paola Siri
Enrico Bibbona
Associate Professor of Statistics
Probability, Statistics and Optimization group
Department of Mathematical Sciences "G. L Lagrange"
Politecnico di Torino
On behalf of David Rossell (Universitat Pompeu Fabra)
Postdocs in high-dimensional statistics for network & graphical models analysis, Barcelona
We have two post-doctoral positions to work on a range of topics related to high-dimensional statistics for networks, ultra high-dimensional graphical models, frameworks linking networks and graphical models, multivariate structural learning and time series analysis. The positions are for 1 year, with a potential for extension to 18 months, with a gross yearly salary of 40,000 eur. The scope is ample and allows for sub-projects related to mathematical statistics and statistical learning theory, data analysis methodology in penalized likelihood and Bayesian statistics, and computational methods. The positions are related to a Huawei grant, which also offers opportunities to explore applications of the developed theory & methods.
The project is primarily hosted by the Statistics group at UPF (https://sites.google.com/view/stats-upf<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fsites.goo…>) and the BSE Data Science Center (https://datascience.bse.eu<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdatascien…>) in Barcelona (Spain), and is in collaboration with Luc Devroye at McGill University in Montreal (Canada) and Piotr Zwiernik at the University of Toronto (Canada). The primary supervisors are Christian Brownlees, Luc Devroye, Gábor Lugosi, David Rossell and Piotr Zwiernik, although collaborations with other professors of these research groups are also possible.
Interested candidates should send an updated CV and a short research statement to David Rossell (david.rossell(a)upf.edu<mailto:david.rossell@upf.edu>). They should ask 3 referees to send a letter of reference on their behalf.
The deadline for applying for the first position is April 30 2022, the deadline for the second position is June 15 2022.
--
David Rossell
Director, BSE Master's in Data Science Methodology and BSE Data Science Center
Associate professor, Dept. of Economics & Business, Universitat Pompeu Fabra
(Office 1E46, Jaume I building)
[http://static.unicatt.it/ext-portale/FirmaOutlook.jpg]<http://www.unicatt.it/>
[http://static.unicatt.it/ext-portale/5xmille-firma-mail-scritta.jpg]
Dear Colleagues,
we would like to invite you to the following seminar by Ruojun Huang
(Scuola Normale Superiore) to be held Wednesday (April 6th) at Dipartimento
di Matematica in Pisa and online via Google Meets.
The organizers,
A. Agazzi and F. Grotto
--------------------------------------------
Location: Sala Seminari, Dipartimento di Matematica, Pisa
Google Meet Link: https://meet.google.com/gji-phwo-vbg
Time: April 6th, 2022, 14:00 CET
Speaker: Ruojun Huang (Scuola Normale Superiore)
Title: Coagulation under environmental noise
Abstract: Environmental noise in a continuum interacting particle system is
a space-dependent noise acting on all particles simultaneously. We prove
that a system of locally interacting diffusions carrying discrete masses,
subject to an environmental noise and undergoing mass coagulation,
converges to a system of Stochastic Partial Differential Equations (SPDEs)
with Smoluchowski-type nonlinearity. It partially extends a result of
Hammond-Rezakhanlou (2007) who considered the PDE case, with our motivation
coming from trying to understand the effect of turbulence on rain
formations. Based on a joint work with Franco Flandoli.
Ricevo e inoltro.
Elisabetta
---------- Forwarded message ---------
From: Matt Roberts <mattiroberts(a)gmail.com>
Date: Thu, Mar 31, 2022 at 3:13 PM
Subject: Pathway to Research scheme
To: <APPLIEDPROB(a)jiscmail.ac.uk>
Dear all,
The following scheme may be of interest to undergrads. We would like as
many applications as possible, so please spread the word!
Thanks,
Matt
----------------
Pathway to Research scheme - a scheme for students completing, or having
completed, a BSc or taught Masters
The SAMBa CDT, based in the Department of Mathematical Sciences at the
University of Bath, is seeking applicants to its Pathway to Research
scheme. This will provide three people, who have the potential to be
excellent mathematical researchers, but who have – for any number of
reasons – not been able to take advantage of enough mathematical
training to get them ready for PhD research, with a year long programme
of training and mentorship in a research environment, plus a £10,000
bursary, resulting in an MSc qualification.
https://www.bath.ac.uk/campaigns/start-your-research-career-in-mathematics-…
Barriers to academic progress that applicants may have faced could
include significant caring responsibilities, the need to work during
their studies, a lack of access to fundamental mathematics courses (e.g.
Further Maths A level), having had a restricted choice of location for
their undergraduate degree, and there will be many more. It may be that
there are people on your courses, or those who have recently graduated,
who are unaware that a career in research mathematics was even an option
and please can I encourage you to make them aware of this scheme.
The deadline for applications is 16th May, with a visit day for those
who apply planned for 26th May.
########################################################################
To unsubscribe from the APPLIEDPROB list, click the following link:
https://www.jiscmail.ac.uk/cgi-bin/WA-JISC.exe?SUBED1=APPLIEDPROB&A=1
This message was issued to members of www.jiscmail.ac.uk/APPLIEDPROB, a
mailing list hosted by www.jiscmail.ac.uk, terms & conditions are available
at https://www.jiscmail.ac.uk/policyandsecurity/
#VERSOILFESTIVALDELLASTATISTICA22
Environment and sustainability: new challenges and perspectives for Statistics
Martedì 3 maggio 2022 ore 14.00
Politecnico di Milano
Intervengono:
Prof. Pedro Delicado, Universitat Polytecnica de Catalunya
“Wildfires vegetation recovery through satellite remote sensing and functional data analysis”
Prof. Alessandro Fassò, Università degli Studi di Bergamo
"Statistical modelling of COVID-19 impact on maritime carbon emissions”
Prof. Piercesare Secchi, Politecnico di Milano
"Environment and sustainability: new challenges and perspective for Statistics”
Tavola rotonda, presieduta da Piercesare Secchi, con la partecipazione di Corrado Crocetta, Presidente della Società Italiana di Statistica, e di alcuni membri del Comitato Scientifico di GRASPA
Dettagli e registrazione a
https://www.mate.polimi.it/events/statfest/ <https://www.mate.polimi.it/events/statfest/>
——
Laura Maria Sangalli
MOX - Dipartimento di Matematica
Politecnico di Milano
Piazza Leonardo da Vinci 32
20133 Milano - Italy
tel: +39 02 2399 4554
fax: +39 02 2399 4568
email: laura.sangalli(a)polimi.it
url: http://mox.polimi.it/~sangalli
MOX Laboratory for Modeling and Scientific Computing, Politecnico di Milano
https://mox.polimi.it
Dear Colleagues,
MOX turns 20!
To celebrate this event, a one-day scientific event, MOX20, will take place at the Politecnico di Milano on May 27th, 2022.
Since 2002, MOX promotes research in the field of mathematical modeling, data science, and scientific computing in Science and Engineering.
During the event, some recent success stories of collaboration between MOX and its scientific and industrial partners will be presented, with a preview of future scientific challenges.
The event will feature in particular the participation of Prof. Jean-Pierre Bourguignon (IHES-France and former ERC President), Prof. Jan Hesthaven (Vice President at EPFL-Switzerland), Prof. Victor Panaretos (EPFL-Switzerland) and Prof. Antonio F. Corno (University of Texas Health-USA).
For more information, visit the webpage https://mox.polimi.it/mox20/
The event will be held in person and will be streamed for those who wish to follow it in online mode.
Participation is very welcome and free of charge. However, for organizational reasons registration is mandatory. Please fill in the form https://www.mate.polimi.it/registrazione/MOX20_registrazione.php by April 27th, 2022.
With best regards,
The MOX20 Organizing Committee
——
Laura Maria Sangalli
MOX - Dipartimento di Matematica
Politecnico di Milano
Piazza Leonardo da Vinci 32
20133 Milano - Italy
tel: +39 02 2399 4554
fax: +39 02 2399 4568
email: laura.sangalli(a)polimi.it
url: http://mox.polimi.it/~sangalli
Apologies for cross-posting
Dear Colleagues,
we invite you to submit contributions to ECSO – CMS 2022 that will be
held on 29-30 June - 1 July 2022, in Venice, at the Department of
Economics - Ca’ Foscari University, in the San Giobbe Economics Campus.
*Joint EUROPEAN CONFERENCE ON STOCHASTIC OPTIMIZATION and COMPUTATIONAL
MANAGEMENT SCIENCE Conference
*
*29-30 June - 1 July 2022, Venice, Italy*
ECSO - CMS 2022 is jointly organized by the Department of Economics of
Ca’ Foscari University of Venice, the CMS Journal and the EURO Working
Group on Stochastic Optimization.
VENUE: Department of Economics, Ca’ Foscari University of Venice
San Giobbe Campus – Cannaregio 873, 30121 Venice, Italy
Webpage: www.unive.it/ecsocms2022 <http://www.unive.it/ecsocms2021>
Conference Secretariat: ecsocms2022(a)unive.it
Conference hashtag: #ecsocms2022
IMPORTANT DATES
Abstract submission – *NEW DEADLINE: April 12, 2022*
Notification of acceptance: *April 20, 2022*
Early registration: *April 30, 2022*
Best student paper prize: *May 15, 2022*
A *prize for the student best paper* will be awarded. Papers should be
nominated via e-mail by the students’ supervisors
(ecsocms2022(a)unive.it). *Deadline for the submissions to the prize is
May 15.* The program will include a devoted session for presenting the
best papers to compete for the prize, such that the jury could make the
final choice. The paper does not have to be published. The papers should
be principally authored by the student, but co-authors are permitted as
long as their contributions are clarified. Only registered participants’
papers will be considered for the prize.Jury for the Student Best Paper
Prize: Stein-Erik Fleten (NTNU Norwegian University of Science and
Technology), Milos Kopa (Charles University of Prague), Francesca
Maggioni (University of Bergamo), Ruediger Schultz (University
Duisburg-Essen).
We are looking forward to seeing you in Venice.
Best Regards,
Diana Barro, Stein-Erik Fleten and Martina Nardon
Organizing and Program Committees Chairs
--------------------------------------
Dr. Martina Nardon
Dipartimento di Economia
Università Ca' Foscari Venezia
San Giobbe - Cannaregio, 873
30121 Venezia, Italy
tel. +39 041 234 7413
--------------------------------------
Cari colleghi
venerdì prossimo 1 aprile alle ore 15.30 avrà luogo presso il
Dipartimento di Matematica di Roma Tor Vergata il seguente seminario:
------------------------------------------------------------------------------------------------------
Aula 1200, Edificio Sogene
Speaker: Alessia Caponera (EPFL)
Title: Nonparametric Estimation of Covariance and Autocovariance
Operators on the Sphere
Abstract:
We propose nonparametric estimators for the second-order central moments
of spherical random fields within a functional data context. We consider
a measurement framework where each field among an identically
distributed collection of spherical random fields is sampled at a few
random directions, possibly subject to measurement error. The collection
of fields could be i.i.d. or serially dependent. Though similar setups
have already been explored for random functions defined on the unit
interval, the nonparametric estimators proposed in the literature often
rely on local polynomials, which do not readily extend to the (product)
spherical setting. We therefore formulate our estimation procedure as a
variational problem involving a generalized Tikhonov regularization
term. The latter favours smooth covariance/autocovariance functions,
where the smoothness is specified by means of suitable Sobolev-like
pseudo-differential operators. Using the machinery of reproducing kernel
Hilbert spaces, we establish representer theorems that fully
characterize the form of our estimators. We determine their uniform
rates of convergence as the number of fields diverges, both for the
dense (increasing number of spatial samples) and sparse (bounded number
of spatial samples) regimes. We moreover validate and demonstrate the
practical feasibility of our estimation procedure in a simulation
setting.
Based on a joint work with Julien Fageot, Matthieu Simeoni and Victor M.
Panaretos
--------------------------------------------------------------------------------------------------------
Grazie per l'attenzione, Domenico Marinucci
--
@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@
Domenico Marinucci
Dipartimento di Matematica
Università di Roma Tor Vergata
https://www.mat.uniroma2.it/~marinucc/
@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@
Dear All,
This Friday,*Jodi Dianetti* (Center for Mathematical Economics,
Bielefeld University) will give a seminar talk on Submodular mean field
games, which will be held in person and online via Zoom.
Details:
* Date and time: Friday, April 1, 2022 at 14.30 pm
* Place: room 2BC30 at the Department of Mathematics, University of Padova
(Torre Archimede, via Trieste, 63, 35121 Padova)
* Zoom link: please visit the webpage
https://www.math.unipd.it/~bianchi/seminari/
* Title: Submodular mean field games: Existence and approximation of
solutions
* Abstract: We study mean field games with scalar Itô-type dynamics and
costs that are submodular with respect to a suitable order relation on
the state and measure space. The submodularity assumption has a number
of interesting consequences. Firstly, it allows us to prove existence of
solutions via an application of Tarski's fixed point theorem, covering
cases with discontinuous dependence on the measure variable. Secondly,
it ensures that the set of solutions enjoys a lattice structure: in
particular, there exist a minimal and a maximal solution. Thirdly, it
guarantees that those two solutions can be obtained through a simple
learning procedure based on the iterations of the best-response-map. Our
approach also allows to treat submodular mean field games with common
noise, as well as mean field games with singular controls, optimal
stopping and reflecting boundary conditions. This talks is based on some
joint works together with Giorgio Ferrari, Markus Fischer and Max Nendel.
On behalf of the organizers,
Markus Fischer
Dipartimento di Matematica "Tullio Levi-Civita"
Università degli Studi di Padova
via Tieste, 63
35121 Padova
https://www.math.unipd.it/~fischer/
Dear Colleagues,
we would like to invite you to the following seminar by Giulia Carigi
(University of Reading) to be held next Wednesday (March 30th) at
Dipartimento di Matematica in Pisa and online via Google Meets.
The organizers,
A. Agazzi and F. Grotto
--------------------------------------------
Location: Sala Seminari, Dipartimento di Matematica, Pisa
Google Meet Link: https://meet.google.com/gji-phwo-vbg
Time: March 30, 2022, 14:00 CET
Speaker: Giulia Carigi (University of Reading)
Title: Ergodic properties for a stochastic two-layer model of geophysical
fluid dynamics
Abstract: A two-layer quasi-geostrophic model for geophysical flows is
studied, with the upper layer being perturbed by additive noise. This model
is popular in the geosciences, for instance to study the effects of a
stochastic wind forcing on the ocean. A rigorous mathematical analysis
however meets with the challenge that the noise configuration is spatially
degenerate as the stochastic forcing acts only on the top layer.
Exponential convergence of solutions laws is established, implying a
spectral gap of the associated Markov semigroup on a space of Hölder
continuous functions. Moreover, response theory with respect to changes in
the average wind forcing is established. Specifically, it is shown that the
averages of a class of observables against the invariant measure are
differentiable (linear response) and locally Hölder continuous (fractional
response) as functions of a deterministic additive forcing. In doing so, a
framework suitable to establish (linear and fractional) response for a
class of nonlinear stochastic partial differential equations is provided.
Cari colleghi
scusandomi per eventuali messaggi multipli, vi mando le informazioni sui
prossimi seminari online del Gruppo UMI Prisma (lunedì 4 aprile), con i
contributi di Enrico Scalas e Giacomo
Ascione:
* April 4, 2022, 16:00-17:00 (CET): Enrico Scalas
TITLE:
Point processes and time change: A fractional non-homogeneous Poisson
process and its functional limits
ABSTRACT:
A fractional nonhomogeneous Poisson process was introduced by a time
change of the nonhomogeneous Poisson process with the inverse α-stable
subordinator. A similar definition is proposed for the (nonhomogeneous)
fractional compound Poisson process. Both finite-dimensional and
functional limit theorems are presented for the fractional
nonhomogeneous Poisson process and the fractional compound Poisson
process. The results are derived by using martingale methods, regular
variation properties and Anscombe’s theorem. Some of the limiting
results are verified in a Monte Carlo simulation.
Papers:
[1] Nikolai Leonenko, Enrico Scalas and Mailan Trinh, The fractional
non-homogeneous Poisson process. Statistics and Probability Letters,
120, 2017, pp. 147-156. DOI: http://dx.doi.org/10.1016/j.spl.2016.09.024https://arxiv.org/abs/1601.03965
[2] Nikolai Leonenko, Enrico Scalas and Mailan Trinh, Limit theorems for
the fractional nonhomogeneous Poisson process, Journal of Applied
Probability , 56:1, 2019 , pp. 246 - 264. DOI:
https://doi.org/10.1017/jpr.2019.16https://arxiv.org/abs/1711.08768
This is joint work with Nikolai Leonenko and Mailan Trinh.
* April 4, 2022, 17:00-18:00 (CET): Giacomo Ascione
TITLE:
Spectral methods for time-changed birth-death processes
ABSTRACT:
In this talk we focus on a class of semi-Markov birth-death processes
obtained by means of a time-change of some standard birth-death process.
Precisely, we consider as parent processes the immigration-death process
and the Meixner process, whose stationary distributions are respectively
the Poisson and the Pascal distributions. Exploiting, on one hand, the
properties of the Charlier and Meixner polynomials (in particular, the
self-duality property), while, on the other, characterizing the
eigenfunctions of some non-local operators by means of the Laplace
transform of an inverse subordinator, we are able to explicitly express
the spectral decomposition of the transition probability function of the
aforementioned processes. The latter expression is then used to prove
existence and uniqueness of strong solutions for a class of
time-nonlocal Cauchy problems in a suitable Banach sequence space and
the probabilistic interpretation of such equations as some sort of
non-local backward/forward Kolmogorov equations. Finally, a comparison
with the time-changed diffusion case is carried out by referring to the
spectral decomposition of the probability density function of
time-changed Pearson diffusions. The latter argument hints at the
possibility of applying this kind of spectral methods to a wider range
of problems.
This is the result of joint work with Nikolai Leonenko from Cardiff
University and Enrica Pirozzi from University of Naples.
Grazie per l'attenzione, Domenico Marinucci
Link:
------
https://teams.microsoft.com/l/meetup-join/19%3a667d2414be564c5d8fba30acffeb…
--
@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@
Domenico Marinucci
Dipartimento di Matematica
Università di Roma Tor Vergata
https://www.mat.uniroma2.it/~marinucc/
@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@
Dear all,
the workshop "A day on Random Graphs" will take place at Università di Tor Vergata on the 30th of May (see poster in attachment). Registration before the 15th of May is free but compulsory.
The invited speakers are
Luca Avena (Leiden University)
Afonso Bandeira (ETH Zürich)
Luca Becchetti (La Sapienza)
Julia Komjathy (TU Delft)
Luca Trevisan (Bocconi)
For more information see http://www.mat.uniroma2.it/~rds/graphs.php .
Thanks for sharing with those who might be interested.
The organizers,
Andrea Clementi, Domenico Marinucci, Michele Salvi, Stefano Vigogna
Dear All,
I forward the following announcement for a PhD position in Bielefeld.
Best wishes,
Giorgio Ferrari
%%%%
Title: Ph.D. position at Bielefeld University’s CRC 1283
The Collaborative Research Center (CRC) 1283 “Taming uncertainty and
profiting from randomness and low regularity in analysis, stochastics
and their applications” at the Bielefeld University has a job opening
for a Ph.D. position in its project C7.
The research in the project C7 focuses on model uncertainty in dynamic
settings and the development of new solution concepts for a wide range
of Hamilton-Jacobi-Bellman equations appearing in the context of robust
finance and optimal decision problems under uncertainty. The project
also focuses on numerical aspects and selected topics from actuarial
science, stochastic optimal control, and mean field games.
The successful candidate is expected to have a scientific university
degree in Mathematics, Mathematical Economics, Mathematical Finance or a
related field and to have good knowledge in at least one of the
following topics: measure and probability theory, stochastic analysis,
functional analysis, partial differential equations, and (stochastic)
optimal control.
For full consideration, your application (including a cover letter, CV,
copies of diplomas, and, if available, a copy of the master’s thesis)
should be sent via email as a single PDF document to
imw(a)uni-bielefeld.de. Please mark your application with the
identification code: Wiss22273.
Starting date: at earliest convenience
Salary level: part time 75% in the remuneration level 13 TV-L
Temporary position until 30.06.2025
Application deadline: 13.04.2022
For further information see:
https://uni-bielefeld.hr4you.org/job/view/1309/research-position?page_lang=…https://www.sfb1283.uni-bielefeld.de
--
Questa e-mail è stata controllata per individuare virus con Avast antivirus.
https://www.avast.com/antivirus
Dear All,
We would like to bring to your attention the summer school "Stochastic Modelling in the Life Sciences"<https://www.him.uni-bonn.de/programs/future-programs/future-junior-trimeste…> being held at the Hausdorff Research Institute for Mathematics in Bonn during the week 9-13th of May. The school will consist of three 5 hour long courses on coagulation and fragmentation for genealogical processes, spatial modelling, and diffusive limits for microscopic models, together with two shorter 3 hour mini-courses on statistical inference and duality.
Speakers:
Prof. Nina Gantert (TU Munich)
Prof. Alison Etheridge (Oxford)
Prof. Kevin Painter (Politecnico Torino)
Dr. Jere Koskela (Warwick)
Dr. Federico Sau (IST)
Applications <https://www.him.uni-bonn.de/programs/future-programs/future-junior-trimeste…> are open until the 31st of March.
Kind Regards,
Jaromir Sant & Nadia Loy
SEMINARS IN STATISTICS @ COLLEGIO CARLO ALBERTO
<https://www.carloalberto.org/events/category/seminars/seminars-in-statistic…>
Venerdi 1 Aprile 2022, alle ore 12.00, presso il Collegio Carlo Alberto, in
Piazza Arbarello 8, Torino, si terrà il seguente seminario:
------------------------------------------------
Speaker: *Alexandra Carpentier* (University of Potsdam)
Title: *Optimal ranking in crowd-sourcing*
Abstract: Consider a crowd sourcing problem where we have n experts and d
tasks. The average ability of each expert for each task is stored in an
unknown matrix M, which is only observed in noise and incompletely. We make
no (semi) parametric assumptions, but assume that both experts and tasks
can be perfectly ranked: so that if an expert is better than another, she
performs on average better on all tasks than the other - and that the same
holds for the tasks. This implies that if the matrix M is permuted so that
the experts and tasks are perfectly ranked, then the permuted matrix M is
bi-isotonic.
We focus on the problem of recovering the optimal ranking of the experts in
l_2 norm, when the questions are perfectly ranked. We provide a
minimax-optimal and computationally feasible method for this problem, based
on hierarchical clustering, PCA, and exchange of informations among the
clusters. We prove in particular - in the case where d > n - that the
problem of estimating the expert ranking is significantly easier than the
problem of estimating the matrix M.
This talk is based on joint work with Emmanuel Pilliat and Nicolas Verzelen.
------------------------------------------------
In ottemperanza alle norme anti Covid, per partecipare in presenza è
necessario prenotarsi tramite il seguente form online:
https://forms.gle/Z3MVuM7MixQHxrmF6
Sarà possibile seguire il seminario anche in streaming:
Join Zoom Meeting
<https://us02web.zoom.us/j/81557586058?pwd=SllnbU8wcDh4M2pFNEEvQkk5Q2VqUT09>
Meeting ID: 815 5758 6058
Passcode: 518172
Il seminario è organizzato dalla "de Castro" Statistics Initiative
www.carloalberto.org/stats
Cordiali saluti,
Pierpaolo De Blasi
--
Pierpaolo De Blasi
University of Torino & Collegio Carlo Alberto
carloalberto.org/pdeblasi
<https://sites.google.com/a/carloalberto.org/pdeblasi/>
Cari tutti,
scrivo per inoltrare il seguente avviso da parte di Dario Gasbarra
dell'Università di Helsinki.
In allegato trovate la locandina della scuola in oggetto.
Saluti a tutti. C.M.
***************************************
Cari amici probabilisti e statistici, sono aperte le iscrizioni per la
40a scuola estiva finlandese di probabilita' e statistica, 23-27.5.2022,
Lammi,
per ulteriori informazioni visitate il sito
https://fdnss.fi/40th-finnish-summer-school-on-probability-and-statistics/
Dear friends of Stochastics and Statistics, registration for the
40th Finnish Summer School on Probability and Statistics
in Lammi, Finland 23-27.5.2022
is open, please check the website
https://fdnss.fi/40th-finnish-summer-school-on-probability-and-statistics/
Courses:
*
JEAN-FRANÇOIS CHASSAGNEUX [1](PARIS) PROBABILISTIC NUMERICAL METHODS
FOR NON-LINEAR PDES.
*
FABRICE GAMBOA [2] (TOULOUSE) LARGE DEVIATIONS, MOMENT PROBLEMS AND SUM
RULES
*
CIPRIAN TUDOR [3](LILLE) NON-GAUSSIAN SELFSIMILAR PROCESSES
See you in Lammi !
Dario Gasbarra,
Dept. of Mathematics and Statistics
University of Helsinki
Links:
------
[1] https://www.lpsm.paris/pageperso/chassagneux/
[2] https://www.math.univ-toulouse.fr/~gamboa/
[3] http://samm.univ-paris1.fr/-Ciprian-Tudor-
The Department of Statistical Sciences of the University of Padua is
advertising a Research Grant for PhD graduates or graduates with a master’s
degree.
The purpose of this research grant, with a duration of *12 months* and an
amount of *Euro 25,930.00 gross*, is to carry out research activity into
developing statistical models for high dimensional data following
approaches both frequentist and Bayesian. Often a large number of
quantitative, qualitative or mixed variables are available and in dealing
with them in statistical models requires attention to computational and
statistical problems such as the curse of dimensionality. In many cases
objective methods are required, but in many fields, e.g., marketing,
sociological or biomedical analysis, subjective or a priori information is
available, which can be included in the modeling and estimation procedures.
The complete call is available at
https://www.stat.unipd.it/assegno-di-ricerca-di-tipo-resp-scientifico-prof-…
The call will expire on April 8th, 2022.
The application may only be submitted by completing the online procedure
available at <https://pica.cineca.it/unipd/>
https://pica.cineca.it/unipd/assegni-dipstat-4-2022/
Best regards,
the administrative secretariat
--
Ufficio Ricerca del Dipartimento di Scienze Statistiche
Università degli Studi di Padova
Via Cesare Battisti 241 - 35121 Padova
tel. +39 049 8274125 / +39 049 8274167
www.stat.unipd.it
Buongiorno,
per chi fosse interessato, martedî 29 marzo alle 15 ora italiana darò un talk online su Approximate Bayesian Computation per NeuroMat https://neuromat.numec.prp.usp.br/content/rpb-ihp23/<https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fneuromat.…>
Titolo, abstract e link per il talk sono riportati sotto.
Buona giornata,
Massimiliano
------
Dr. Massimiliano Tamborrino
Assistant Professor
Department of Statistics
University of Warwick
https://warwick.ac.uk/tamborrino<https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwarwick.a…>
________________________________
From: Vera Lucia Ribeiro <veralu(a)ime.usp.br>
Sent: 22 March 2022 17:41
Subject: NeuroMat webinar, March 29, 2022
NeuroMat webinars 2022
pathways to the 2023 IHP thematic program
Random Processes in the Brain
Webinar title
Structure-preserving Approximate Bayesian Computation (ABC) for stochastic neuronal models
by Massimiliano Tamborrino
Department of Statistics, University of Warwick
Tuesday, March 29, 2022
at 10 am (S.Paulo local time) / 3 pm (Paris local time)
meet.google.com/jki-nokz-tyz<https://nam12.safelinks.protection.outlook.com/?url=http%3A%2F%2Fmeet.googl…>
Abstract: ABC has become one of the major tools for parameter inference in complex mathematical models in the last decade. The method is based on the idea of deriving an approximate posterior density aiming to target the true (unavailable) posterior by running massive simulations from the model for different parameters to replace the intractable likelihood, choosing then those parameters whose simulations are good matches to the observed data. When applying ABC to stochastic models, the derivation of effective summary statistics and proper distances is particularly challenging, since simulations from the model under the same parameter configuration result in different output. Moreover, since exact simulation from complex stochastic models is rarely possible, reliable numerical methods need to be applied. In this talk, we show how to use the underlying structural properties of the model to construct specific ABC summaries that are less sensitive to the intrinsic stochasticity of the model, and the importance of adopting reliable property-preserving numerical (splitting) schemes for the synthetic data generation. Indeed, the commonly used Euler-Maruyama scheme may drastically fail even with very small stepsizes. The proposed approach is illustrated first on the stochastic FitzHugh-Nagumo model, and then on the broad class of partially observed Hamiltonian stochastic differential equations, in particular on the stochastic Jensen-and-Rit neural mass model, both with simulated and with real electroencephalography (EEG) data, for both one neural population [2] and a network of neural populations (ongoing work).
References
[1] E. Buckwar, A. Samson, M. Tamborrino, I. Tubikanec. A splitting method for SDEs with locally Lipschitz drift: Illustration on the FitzHugh-Nagumo model. ArXiv:2101.01027, https://arxiv.org/abs/2101.01027<https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Farxiv.org…>
[2] E. Buckwar, M. Tamborrino, I. Tubikanec. Spectral density-based and measure-preserving ABC for partially observed diffusion processes. An illustration on Hamiltonian SDEs. Stat. Comput. 30 (3), 627-648, 2020.
--
You received this message because you are subscribed to the Google Groups "sis-news" group.
To unsubscribe from this group and stop receiving emails from it, send an email to sis-news+unsubscribe(a)googlegroups.com<mailto:sis-news+unsubscribe@googlegroups.com>.
To view this discussion on the web visit https://groups.google.com/d/msgid/sis-news/AM7PR01MB6547B060A64B1319B95C8F4…<https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fgroups.go…>.
Buondì,
segnalo la seguente:
SELEZIONE PER IL CONFERIMENTO N. 1 ASSEGNO DI RICERCA DESTINATO AD UNA/UNO STUDIOSA/O A RISCHIO -
SELECTION FOR AWARDING 1 (ONE) RESEARCH FELLOWSHIP TO BE ASSIGNED TO A SCHOLAR AT RISK,
(dettagli in calce - details below)
con particolare riferimento a:
Dipartimento: Informatica
Progetto n. 3 Tematica: Analisi stocastica ed applicazioni
Grazie,
LuCa
L'Università di Verona, membro della rete internazionale Scholars at Risk (SAR) e della sezione italiana SAR-Italy, nell'ambito delle azioni promosse dalla Cooperazione allo Sviluppo Internazionale ha pubblicato un Bando per un assegno di ricerca della durata di 12 mesi da assegnare a una/uno studiosa/o a rischio. Il Bando è aperto a coloro che hanno ricevuto il riconoscimento dello status di studiosa/o "a rischio" da parte di organizzazioni internazionali come SAR, Scholar Rescue Fund (SRF) or the Council for At Risk Academics (CARA) o titolari di protezione internazionale in Italia o in Paese membro dell’Unione Europea, richiedenti asilo in Italia o titolari di status di rifugiata/o in un Paese Terzo che abbia sottoscritto la Convenzione di Ginevra. Le candidature potranno essere presentate scegliendo un ambito di ricerca specifico tra i 12 disponibili.
Scadenza per la presentazione delle candidature: venerdì 20 Maggio 2022, ore 13.00 (ora italiana).
Bando e modulistica<https://www.univr.it/it/concorsi/visiting-researchers-professors/bandi-per-…>
The University of Verona, member of the international Scholars at Risk network (SAR) and of SAR-Italy, within its initiatives in the cooperation and development field, has just launched a Call for a 12-month Research Fellowship to be assigned to a 'at-risk scholar'. The call is open to international researchers who have been recognised as ‘at risk scholars’ by accredited organisations like SAR, Scholar Rescue Fund (SRF) or the Council for At Risk Academics (CARA) or hold a refugee status in a Country that signed the Geneva Convention, an international protection status in Italy or in another EU Country, or who are asylum seekers in Italy.
Applications shall be submitted in one out of twelve different research topics listed in the call.
Deadline for applications: Friday 20 May 2022, 1.00 pm (italian time).
Call and application form<https://www.univr.it/en/job-vacancies/visiting-researchers-professors/bandi…>
__
Luca Di Persio - PhD
College of Mathematics
Dept. of Computer Science
University of Verona
strada le Grazie 15 - 37134 Verona - Italy
Tel : +39 045 802 7968
Official UniVr spinoff: www.hpa.ai <http://www.hpa8.com>