Cari colleghi,
vi segnalo che il Dipartimento di Matematica dell'Università di Padova
ha bandito un posto di ricercatore di tipo B nel settore MAT/06.
Il bando è disponibile alla pagina
http://www.math.unipd.it/it/news/?id=1898
La scadenza per la presentazione delle domande è il 25 agosto 2016.
Marco Ferrante
_First Call for Papers_
*Joint EUROPEAN CONFERENCE ON STOCHASTIC OPTIMIZATION and COMPUTATIONAL
MANAGEMENT SCIENCE Conference
*
*7-9 July 2021, Venice, Italy*
The organizers are delighted to invite you to ECSO – CMS 2021 that will
be held in Venice, Italy, 7-9 July 2021, at the Department of Economics
- Ca’ Foscari University of Venice, in the San Giobbe Economics Campus.
/This is the rescheduled event for the Conference ECSO – CMS 2020,
suspended due to the COVID -19 pandemic emergency. We are planning to
organize the conference in presence in 2021./
ECSO - CMS 2021 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.
ECSO 2021 is the 3rd edition of a stream of conferences organized by the
EURO Working Group on Stochastic Optimization (EWGSO). The previous
editions were held in Paris (2014) and Rome (2017). The scope of the
conference is to bring together researchers and professionals in
Stochastic Optimization and its applications in different fields spacing
from economics and finance to supply chain, logistics, etc.
CMS 2021 is the 17th edition of an annual meeting associated with the
journal of Computational Management Science published by Springer. The
aim of the conference is to provide a forum for theoreticians and
practitioners from academia and industry to exchange knowledge, ideas
and results in a broad range of topics relevant to the theory and
practice of computational methods in management science.
This joint event will provide a forum for fruitful discussions and
interactions among researchers and professionals from industry and
institutional sectors on decision making under uncertainty in a complex
world.The conference will be within the scopes of both CMS and EWGSO
and, in particular, it will focus on models, methods and computational
tools in stochastic, robust and distributionally robust optimization and
on computational aspects of management science with emphasis on risk
management, valuation problems, measurement applications. Traditional
fields of application, such as finance, energy, water management,
logistics, supply chain management, and emerging ones, such as
healthcare, climate risk and sustainable development, will be included.
VENUE: Department of Economics, Ca’ Foscari University of Venice
San Giobbe Campus – Cannaregio 873, 30121 Venice, Italy
Webpage: www.unive.it/ecsocms2021 <http://www.unive.it/ecsocms2021>
Conference Secretariat: ecsocms2021(a)unive.it
Conference hashtag: #ecsocms2021
IMPORTANT DATES
Abstract submission: *March 31, 2021*
Notification of acceptance: *April 20, 2021*
Early registration: *April 30, 2021*
Conference: J*uly 7-9, 2021*
CONFIRMED INVITED SPEAKERS
DARINKA DENTCHEVA, Stevens Institute of Technology (USA)
DAVID MORTON, Northwestern University (USA)
GAH-YI BAN, University of Maryland (USA)
DANIEL KUHN, École polytechnique fédérale de Lausanne (CH)
GIORGIO CONSIGLI, Università di Bergamo (I)
A *prize for the student best paper* will be awarded. Papers should be
nominated via e-mail by the students’ supervisors
(ecsocms2021(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 Committee Chairs
--------------------------------------
Dr. Martina Nardon
Dipartimento di Economia
Università Ca' Foscari Venezia
San Giobbe - Cannaregio, 873
30121 Venezia, Italy
tel. +39 041 234 7413
--------------------------------------
Dear colleagues,
On July Thursday 8 at 14:00, prof. Elena Pulvirenti (TU Delft) will give a virtual seminar “in Florence”, to which you are all invited. You can find title and abstract below.
Title: Metastability for the dilute Curie-Weiss model with Glauber dynamics
Abstract: We analyse the metastable behaviour of the dilute Curie–Weiss model subject
to a Glauber dynamics. The model is a random version of a mean-field Ising model,
where the coupling coefficients are replaced by i.i.d. random coefficients, e.g.
Bernoulli random variables with fixed parameter p. This model can be also viewed
as an Ising model on the Erdos–Renyi random graph with edge probability p.
The system is a Markov chain where spins flip according to a Metropolis dynamics
at inverse temperature \beta. We compute the average time the system takes to reach
the stable phase when it starts from a certain probability distribution on the metastable
state (called the last-exit biased distribution), in the regime where the system size goes
to infinity, the inverse temperature is larger than 1 and the magnetic field is positive and
small enough. We obtain asymptotic bounds on the probability of the event that the
mean metastable hitting time is approximated by that of the Curie–Weiss model.
The proof uses the potential theoretic approach to metastability and concentration
of measure inequalities. This is a joint collaboration with Anton Bovier (Bonn) and
Saeda Marello (Bonn).
The seminar will be on Zoom. You can find the information to join below.
Time: Jul 8, 2021 02:00 PM Rome
Join Zoom Meeting
https://us02web.zoom.us/j/86877056843?pwd=VnRCYktqZUV2M05GTDMwdWRhQ2VBdz09
Meeting ID: 868 7705 6843
Passcode: 909528
If you know of someone who might be interested and is not subscribed to the random mailing list, please do not hesitate to forward this announcement to them.
Kind regards,
Gianmarco
----------------------------------------------------------------------
Gianmarco Bet (he/him)
Junior researcher
https://gianmarco.bet
Phone: (+39) 055 2751491
Department of Mathematics and Informatics "U. Dini"
University of Florence
Viale Morgagni, 65
50134 Firenze, Italy
Office 64
----------------------------------------------------------------------
Dear All,
we would like to inform you that *2 research grants (type B)* are
available in the *Department of Statistical Sciences **at the
**University of Padua*.
*Deadline for application*: July 28th 2021
The Department will select innovative and excellent research projects
proposed by young independent scholars within the framework of the
Project of Excellence “Statistical methods and models for complex data”
in the scientific sectors of interest to the Department of Statistical
Sciences.
The selection is open to PhD graduates who have completed suitable and
documented academic and professional experience and that have carried
out at least one year of post-doctoral research activity.
Details can be found at:
https://www.stat.unipd.it/bando-2-assegni-di-ricerca-tipo-b-selection-annou…
Best regards,
--
Ufficio Ricerca 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
Dear Colleagues,
We would like to invite you to the following Probability seminar
that will take place on July 9 at 14.30 by the zoom platform.
________________________________________________________
Speaker: Wioletta Ruszel (University of Utrecht)
Title: Local central limit theorem and potential kernel estimates for a
class of symmetric heavy-tailed random variables.
09 JULY (Friday) - 14:30 zoom link: TBA
available on the webpage https://www.math.unipd.it/~bianchi/seminari/ )
Abstract: In this talk we will discuss stable local limit theorems and
potential kernel estimates. In particular we consider a class of
heavy-tailed random variables on Z in the domain of attraction of an
-stable random variable of index \alpha \in (0, 2) satisfying a certain
expansion of their characteristic function expansion. Our results include
sharp convergence rates for the local (stable) central limit theorem, a
detailed expansion of the characteristic function of a long-range random
walk with transition and detailed asymptotic estimates of the discrete
potential kernel. This is joint work with Leandro Chiarini (UU) and Milton
Jara (IMPA) and is based on arXiv.com/2101.01609.
--
Alessandra Bianchi
Dip. di Matematica
Università di Padova
Via Trieste, 63 - 35121 Padova, Italy
phone: +39 049 827 14 06
fax: +39 049 827 14 28
e-mail: bianchi(a)math.unipd.it
http://www.math.unipd.it/~bianchi/
* Apologise for cross-posting *
Dear Colleagues,
I would like to inform you that a post-doc in Statistics is available in the Department of Statistics, Computer Science, Applications at the University of Florence, under the supervision of Prof. Monia Lupparelli and Prof. Francesco C. Stingo.
Deadline for application: July 12th 2021
Starting date: November 1st 2021
Research topic: Bayesian model search for profile undirected graphical models
The research project aims to develop a graphical modelling approach to study the effect that a risk factor may have on a set of random variables and on their joint dependence structure. This issue could be partially addressed by using chain graph or multiple graph models: the first method ignores how the dependence structure may vary under different profiles defined by the external factor, the second does not account for the effect of the factor on single variables. The research should develop a class of profile graphical models to fill the gap between the existent graphical approaches. As far as inference is concerned, model selection represents a crucial aspect since compatibility constraints for the model identifiability need to be considered. The idea is to implement Bayesian stochastic search approaches for the selection and inference of discrete profile graphs, both for moderate and high dimensional data. The proposed methodology will be applied to biomedical data.
Details can be found at
https://bandi.miur.it/bandi.php/public/fellowship/id_fellow/192962 <https://bandi.miur.it/bandi.php/public/fellowship/id_fellow/192962>
and
https://titulus.unifi.it/albo/viewer?view=files%2F004108400-UNFICLE-701729a… <https://titulus.unifi.it/albo/viewer?view=files/004108400-UNFICLE-701729a1-…>
Best Regards,
Monia Lupparelli
-----------------------------------------
Monia Lupparelli, PhD
Department of Statistics, Computer Science, Applications
University of Florence
Viale Morgagni 59, 50134 Florence, IT
Phone +39 055 2751579
Cari colleghi,
insieme ad altri ricercatori da molti anni sviluppiamo un editor di testi scientifici (e non) che si chiama TeXmacs (www.texmacs.org) e che permette di scrivere articoli, preparare presentazioni, etc.. rimpiazzando l'uso dei vari sistemi basati su TeX con un'interfaccia più sintetica e moderna. TeXmacs non è basato su TeX ma può esportare i documenti in vari formati, tra cui HTML, PDF o appunto (La)TeX.
Il software è libero, parte del progetto GNU (per chi conosce questa iniziativa e i suoi scopi) e compatibile con Mac, Windows e i vari sistemi Linux. È un sistema che per molti di noi è diventato uno strumento di uso quotidiano, sia nella didattica (sopratutto in questo periodo di insegnamento a distanza) che nella ricerca e nella produzione di documentazione scientifica: articoli, tesi, libri.
Da poco abbiamo rilasciato la versione 2.1 che rappresenta il consolidamento del nostro lavoro dell'ultimo decennio e all'occasione cerchiamo di fare un po' di pubblicità all'iniziativa per favorirne la diffusione. In particolare abbiamo prodotto un corto video di presentazione (~4 min) che riassume le caratteristiche salienti del sistema:
https://www.youtube.com/watch?v=H46ON2FB30U
In rete trovate anche varie risorse di informazione: un sito web dove scaricare il programma, un forum e delle liste di diffusione. Per maggiori dettagli faccio seguire il messaggio ufficiale in inglese.
Sperando che questa iniziativa possa essere di interesse e utile,
vi porgo cordiali saluti,
Massimiliano Gubinelli
--------------------------------------------------------------------
Dear colleague,
We are happy to announce the release of GNU TeXmacs 2.1,
a free scientific office suite that you may download from
https://www.texmacs.org
The core of the system is a what-you-see-is-what-you-get
structured text editor with support for mathematical formulas.
For a short overview, you may watch the following video (3 min 40):
https://www.youtube.com/watch?v=H46ON2FB30U
TeXmacs is unique in its ability to produce documents with
the highest typographical quality using a user friendly interface.
The software also comes with an integrated presentation tool,
a picture editor, version control, a bibliography tool,
interfaces to various mathematical computation systems,
and much more... GNU TeXmacs is not based on TeX/LaTeX,
but comes with high quality converters from and to LaTeX,
as well as Html/MathML/MathJax.
In order to get started with TeXmacs, we recommend that
you watch one or more of our introductory videos:
https://www.texmacs.org/tmweb/home/videos.en.html
The software provides integrated documentation and a manual
that can be downloaded from
https://www.texmacs.org/tmweb/help/book.en.html
A new book about TeXmacs is available here:
https://www.scypress.com/book_info.html
For further questions, don't hesitate to ask on one of
our mailing lists or on the TeXmacs forum.
With our best regards,
The TeXmacs team
Dear colleagues,
we are happy to announce the following online talk:
Speaker: *Lucia Caramellino* (Università di Roma "Tor Vergata")
Title: *Regularization lemmas and convergence in total variation.*
Abstract: We provide a simple abstract formalism of integration by parts
under which we obtain some regularization lemmas. These lemmas apply to any
sequence of random variables which are smooth and non-degenerated in some
sense and enable one to upgrade the distance of convergence from a smooth
(Wasserstein e.g.) distance to the total variation in a quantitative way.
We provide a result removing the costly assumption that some non-degeneracy
is required along the whole sequence, as we require only non-degeneracy at
the limit. The price to pay is to control the smooth distance between the
Malliavin matrix of the sequence and the Malliavin matrix of the limit
which is particularly easy in the context of Gaussian limits as their
Malliavin matrix is deterministic. We show some applications of this
result.
>From joint papers with Vlad Bally and Guillaume Poly.
Date and time:
* Monday June 28, 17:30-18:30 (Rome time zone)*
*Zoom link: *
https://us02web.zoom.us/j/82036797456?pwd=bFpXZndKOHFxOTNrUkd0OVhub09qZz09
ID riunione: 820 3679 7456
Passcode: t0Db9B
This is a talk 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. For more
information see the dedicated *webpage:*
https://paviamilanoseminars.wordpress.com/
<http://paviamilanoseminars.wordpress.com>
Participation is free and welcome! (though limited to 100 participants for
technical reasons).
Best regards
*The organizers* (Mario Maurelli, Carlo Orrieri, Maurizia Rossi, Margherita
Zanella)
- - -
Maurizia Rossi
Dipartimento di Matematica e Applicazioni
Università di Milano-Bicocca
Buongiorno
vi giro l'annuncio del OWPS di domani (notate che nella mail scrivono June
25 ma poi hanno mandato una seconda mail di rettifica).
Buona giornata
Alessandra
---------- Forwarded message ---------
Da: One World Probability <ow.probability(a)gmail.com>
Date: mer 23 giu 2021 alle ore 08:14
Subject: [owps] OWPS Talks June 25
To: <owps(a)lists.bath.ac.uk>
Dear All,
Thursday June 25 we have a session on Probability Theory and Population
Genetics,
Speakers: Cornelia Pokalyuk and Anton Wakolbinger.
This is the last session before the summer break!
(Note: the time is in UTC. Due to time changes, you should check what that
translates to in your location)
------------------------------------------------
(14:00-16:00 UTC) Speakers: Cornelia Pokalyuk and Anton Wakolbinger
Fixation of slightly beneficial alleles from a backward and a forward
perspective
Cornelia Pokalyuk and Anton Wakolbinger (Goethe Universität Frankfurt)
For a slightly beneficial mutant whose mean offspring number is by a factor
1+s larger than that of the wild types, the probability of being
established in a large population is \approx 2s/v^2, where v^2 is the
offspring variance. This approximation has been derived (for v^2=1) by
Haldane (1927). In our tandem talk we will present some mathematics behind
and beyond Haldane's formula within the class of Cannings models (which in
the neutral case generalize the prototypic Wright-Fisher model from
multinomial to exchangeable offspring numbers). It turns out that for
``moderately strong'' selection the {\em forward perspective} of the
Galton-Watson approximation helps to prove the Haldane asymptotics in the
large population limit, whereas for ``moderately weak'' selection a {\em
backward perspective} is appropriate, which relies on an ancestral
selection graph in discrete time. These parts of the presentation are based
on F. Boenkost, A. Gonz\’alez Casanova, C.P., A.W., Haldane's formula in
Cannings models:
- The case of moderately weak selection, Electron. J. Probab. 26(4) (2021)
- The case of moderately strong selection, arXiv:2008.02225 [1] [math.PR],
submitted.
In the last part of the talk we will give an outlook on work in progress on
analoga of Haldane's formula for a class of Cannings models with
asymptotically infinite offspring variance.
A. Introduction Anton Wakolbinger
B. Forwards perspective Cornelia Pokalyuk
C. Backwards perspective Anton Wakolbinger
D. Outlook Cornelia Pokalyuk
The Zoom link is on the OWPS webpage.
It can also be accessed directly via
https://tum-conf.zoom.us/j/67179046628
<https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Ftum-conf.…>
Meeting ID:671 7904 6628
Passcode: 160041
Best wishes,
Julien and Nina
--
*************************************************
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
*************************************************