The *Twelfth Workshop on Bayesian Inference in Stochastic Processes* was
successfully held on 27-28 May, 2021.
We inform you that the entire event has been recorded and videos of the
invited talks with discussions as well as the virtual posters are
uploaded to the BISP12 website:
https://bisp12.imati.cnr.it/ <https://bisp12.imati.cnr.it/>
They will be available for some months. If you have questions or
comments for the speakers, you are warmly invited to contact them.
We had 10 junior invited speakers and 10 more senior discussants (within
parentheses):
• Atilla Ay, USA (Melike Baykal-Gursoy, USA)
• Clara Grazian, Australia (Maria Concepcion Ausin, Spain)
• Andrew Holbrook, USA (Katja Ickstadt, Germany)
• Kaoru Irie, Japan (Sylvia Frühwirth-Schnatter, Austria)
• Roi Naveiro, Spain (Mike West, USA)
• Giovanni Rebaudo , USA (Bernardo Nipoti, Italy)
• Claudia Solis-Lemus, USA (Nicholas Polson, USA)
• Stéphanie Van Der Pas, The Netherlands (Antonio Lijoi, Italy)
• Andi Wang, UK (Giacomo Zanella, Italy)
• Paul Wu, Australia (David Banks, USA)
We also had seventeen contributors who uploaded 20-minutes virtual
posters and short videopresentations.
We would also like to thank speakers, discussants and participants for
the success of BISP12.
Best regards and see you at the next BISP13 workshop in 2023.
Elisa Varini and Fabrizio Ruggeri
Chairs, Organising and Scientific Committees
-------- Forwarded Message --------
Subject: Postdoc positions at Bielefeld University
Date: Tue, 8 Jun 2021 20:13:40 +0200
From: Benjamin Gess <benjamin.gess(a)gmail.com>
To: Benjamin Gess <bgess(a)math.uni-bielefeld.de>
Dear colleagues,
at Bielefeld University, Faculty of Mathematics, two Postdoc positions
(100%, E13 TV-L) are available in the research group of Prof. Dr.
Benjamin Gess. The successful candidate(s) will work on projects in
stochastic partial differential equations with application to
statistical mechanics and interacting particle systems, or on aspects of
the mathematics of machine learning.
I would be happy if you could share the information further and forward
it to possible candidates.
More details can be found at:
https://uni-bielefeld.hr4you.org/job/view/460/research-assistant-postdoc?pa…https://uni-bielefeld.hr4you.org/job/view/486/wissenschaftliche-r-mitarbeit…
For questions, please contact Benjamin Gess at
bgess(a)math.uni-bielefeld.de <mailto:bgess@math.uni-bielefeld.de>.
Thank you in advance and my apologies for possible double postings.
Best regards
Benjamin Gess
--
Prof. Dr. Benjamin Gess (www.bgess.de <http://www.bgess.de/>)
Max Planck Institute for Mathematics in the Sciences
<http://www.mis.mpg.de/index.html>, Leipzig
Universität Bielefeld <https://www.math.uni-bielefeld.de/>, Fakultät für
Mathematik
A tutti gli interessati.
---
Dear all,
The 2022 IMS Annual Meeting in Probability and Statistics will be held in
London, UK, on June 27-30 (with an online video option), here is the
website of the conference: https://www.imsannualmeeting-london2022.com/ .
I'd like to draw your attention to the current call for invited sessions in
probability and statistics:
https://www.imsannualmeeting-london2022.com/invited-sessions .
Proposal submission is open, and will close on 1 September 2021, acceptance
decisions will be made by 1 October 2021.
There are 15 slots in probability and 15 in statistics to be filled as a
result of this open call, each speaker will have 30 minutes, including Q&A.
Further information is available on the website
https://www.imsannualmeeting-london2022.com/invited-sessions .
Best regards,
Elisabetta
Cari colleghi,
Ecco l'annuncio di una conferenza al CIRM di Marsiglia che potrebbe
interessarvi.
Giovanni
Dear All,
We are happy to announce the upcoming conference
“Schrödinger Problem and Mean-field PDE Systems: Computational and
Theoretical Advances”
taking place at CIRM in Luminy, France from Nov. 15 to Nov. 19 2021.
The webpage of the event is publicly available at
https://conferences.cirm-math.fr/2413.html
and you can find below a brief description of the themes of the conference.
Registration is open until July 1st. At the moment we aim for a hybrid
(online+in person) conference, but this could change depending on the
development of the pandemic.
Limited funding is available for junior participants or participants who
cannot support themselves. Moreover, there are also some free slots for
contributed talks.
We hope to see you soon, in whichever form.
Best regards, the organizers.
Julio Backhoff, Guillaume Carlier, Giovanni Conforti, Ivan Gentil, Daniela
Tonon.
--------------------------------------------------------------------------------------------------------------------------------------------
“Schrödinger Problem and Mean-field PDE Systems: Computational and
Theoretical Advances”
Monge’s question of how to optimally move sand-pile stands at the origin of
the modern theory of optimal transport. The development of this theory over
the last decades led to impressive advances in analysis and geometry,
reaching out to applied fields such as economics and machine learning. One
and a half century after Monge, Schrödinger asked: “What is the most likely
evolution of a cloud of random particles conditionally on the observation
of their initial and final configurations? "This question, going under the
name of Schödinger Problem, initiated a research line that has grown
enormously in the last years since it was understood that Schrödinger’s and
Monge’s questions are the same when the fluctuations of the random
particles are very small. This discovery offered a natural ground for the
theories of optimal transport and large deviations to meet and thrive
together. At the same time, it also inspired the use of entropic
regularization techniques in machine learning and numerics for PDEs,
achieving major computational advantages. Asking Schrödinger’s question for
strategic particles is the gateway to connect the Schrödinger problem and
large deviations with the theory of mean field stochastic control and
planning mean field games. This brings to light new mathematical questions.
Can entropic regularization speed up the computation of Nash equilibria?
Are there new functional inequalities that capture the ergodic behaviour of
mean field games? Bringing together researchers from the areas of
probability, optimal transport, statistical machine learning and mean field
games, this conference aims to strengthen the interplay between the
Schrödinger problem and mean field systems, and facilitate the birth of
novel methodologies and results.
Ricevo ed inoltro.
Alessandra Cipriani
----------------------------------------------------
Postdoc position at Aarhus University
----------------------------------------------------
The Department of Mathematics at Aarhus University invites applications for a 3-year Postdoc position in spatial random networks and topological data analysis starting in January 2022. The closing date of the vacancy is August 1, 2021.
More details can be found in the official vacancy text:
https://international.au.dk/about/profile/vacant-positions/job/postdoctoral…<https://urldefense.proofpoint.com/v2/url?u=https-3A__international.au.dk_ab…>
For further inquiries about the position please contact Assoc. Prof. Christian Hirsch: c.p.hirsch(a)rug.nl<mailto:c.p.hirsch@rug.nl>
Best regards,
Christian Hirsch
Care colleghe e colleghi,
vi informo che è uscito in Gazzetta Ufficiale un bando da RTDb in
S.C. 01/A3 Analisi matematica, Probabilità e Statistica matematica
- S.S.D. MAT/06 Probabilità e Statistica matematica
presso il Dipartimento di Matematica "Tullio Levi-Civita"
dell’Università di Padova.
Trovate informazioni sul bando e su come applicare alla pagina
https://www.unipd.it/procedura-2021RUB03
Marco Ferrante
--
Prof. Marco Ferrante
Dipartimento di Matematica "Tullio Levi-Civita"
Università degli Studi di Padova
Via Trieste 63 , I-35121 Padova - ITALY
Tel: +39-0498271366 Fax: +39-0498271499
E-Mail: ferrante(a)math.unipd.it
URL: http://www.math.unipd.it/~ferrante
(An English version follows)
Care/i iscritte/i,
l'Università Ca’ Foscari di Venezia bandisce un assegno annuale di
ricerca
presso il Dipartimento di Scienze Ambientali, Informatica e Statistica
(DAIS) dal titolo Metodi di previsione di eventi meteorologici estremi.
L' obiettivo del progetto di ricerca è, in breve, quello di valutare
diversi aspetti delle distribuzioni predittive comunemente in uso e di
proporne di nuove e più adatte alla previsione nelle code.
Contestualmente allo sviluppo teorico delle metodologie si prospetta la
produzione di un pacchetto applicativo per il software statistico R
con cui poter analizzare i casi concreti.
SCADENZA: 21/06/2021 ORE 12:00 ORA ITALIANA.
Info e portale per la domanda: https://www.unive.it/data/17574/
Vi sarei grato se poteste diffondere la notizia presso i vostri contatti.
Per maggiori dettagli sentitevi liberi di contattare me
(gaetan(a)unive.it) o la Prof.ssa Federica Giummolé (giummole(a)unive.it)
Cordiali saluti,
Carlo Gaetan
================= ENGLISH VERSION ======================================
Dear all,
Ca' Foscari University of Venice (Italy) has opened an annual research
position at Department of Environmental Sciences, Informatics and
Statistics on
prediction of extreme events.
The aim of the research project is the verification of commonly used
forecast methods and the introduction of
new improved solutions for prediction of heavy-tailed distributions.
Furthermore, the theoretical development of new methodologies will be
supported by the production of a suitable R package for use in the
applications.
DEADLINE June 21 2021 AT 12:00 PM ITALIAN TIME.
Info and on-line application: https://www.unive.it/data/17574/
I would be grateful if you could circulate the information to your contacts.
Please, feel free to get in touch for any question (me: gaetan(a)unive.it
or Professor Federica Giummolé: giummole(a)unive.it).
Kind regards,
Carlo Gaetan
--
https://www.google.com/search?q=andr%C3%A0+tutto+bene&tbm=isch
`Andrà tutto bene’ translates as ‘everything will be ok’,
and has been adopted here in Italy as the slogan of solidarity against the virus.
Feel free to spread this positive message.
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. See http://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 qui http://www.gnu.org/philosophy/no-word-attachments.it.html
Buongiorno,
inoltro l'annuncio del OWPS per chi fosse interessato. Grazie per
l'attenzione.
Saluti
Alessandra
---------- Messaggio inoltrato ----------
Da: *One World Probability* <ow.probability(a)gmail.com>
Data: mercoledì 2 giugno 2021
Oggetto: [owps] OWPS: two talks thursday June 3
A: owps(a)lists.bath.ac.uk
Dear All,
we have two talks tomorrow, by Gerard Ben Arous and Benjamin McKenna, see
below.
Remember that we start 14:00 UTC which is 16:00 CET!
14:00-15:00 Gerard Ben Arous
The topology of the elastic manifold
This is joint work with Paul Bourgade and Benjamin McKenna (both Courant
Institute, NYU) and relies on the joint recent papers arXiv:2105.05051 and
arXiv:2105.05000.
The elastic manifold is a paradigmatic representative of the class of
disordered elastic systems. These models describe random surfaces with
rugged shapes resulting from a competition between random spatial
impurities (preferring disordered configurations), on the one hand, and
elastic self-interactions (preferring ordered configurations), on the
other. The elastic manifold model is interesting because it displays a
depinning phase transition and has a long history as a testing ground for
new approaches in statistical physics of disordered media, for example for
fixed dimension by Fisher (1986) using functional renormalization group
methods, and in the high-dimensional limit by Mézard and Parisi (1992)
using the replica method or by Le Doussal-Mueller-Wiese (2007) which relies
on functional renormalization group.
We study the topology of the energy landscape of this model in the
Mézard-Parisi setting, and compute the (annealed) topological complexity
both of total critical points and of local minima. Our main result confirms
the recent formulas obtained by Fyodorov and Le Doussal (2020). It
identifies the boundary between simple and glassy phases, as well as the
nature of the phase transition. The main argument relies naturally on
Random Matrix Theory, through the Kac-Rice formula.
15:00 - 16:00 UTC Benjamin McKenna
Random determinants beyond invariance
This is partially joint work with Gérard Ben Arous and Paul Bourgade (both
Courant Institute, NYU) and relies on the recent joint paper
arXiv:2105.05000 and solo paper arXiv:2105.05043.
To study the topology of high-dimensional random functions via the Kac-Rice
formula, the core requirement is the analysis of the asymptotic behavior of
large random determinants in the exponential scale. For models like the
elastic manifold, these random determinants are not invariant under the
usual groups of symmetries, as for usual models of spherical spin glasses
for instance. Thus their asymptotic evaluation is rather delicate. We give
an abstract result for the behavior of large random determinants beyond the
invariant case, which cover many other interesting models beyond the
elastic manifold. As an example of one such model, we discuss bipartite
spherical spin glasses.
The Zoom link is on the OWPS webpage.
It can also be accessed directly via
https://tum-conf.zoom.us/j/69822554866
<https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Ftum-conf.…>
Meeting-ID: 698 2255 4866
Kenncode: 098960
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
*************************************************
Dear colleagues,
I would like to invite you to the following online seminar organized by the Probability group of the University of Pisa. The two talks will be accessible under the link
Click here to join<https://teams.microsoft.com/l/meetup-join/19:af3d635091e049579e555a84219ab3…"Tid":"c7456b31-a220-47f5-be52-473828670aa1","Oid":"dfd1e5f6-331d-43e0-a180-4bb6ce727fb7"}>
Best regards,
Giacomo
Tuesday, June 8, 15:00
Speaker: Josué Corujo (Université Paris Dauphine)
Title: Spectrum and ergodicity of a neutral multi-allelic Moran model
Abstract: We will present some recent results on the study of a neutral
multi-allelic Moran model, which is a finite continuous-time Markov
process. For this process, it is assumed that the individuals interact
according to two processes: a mutation process where they mutate
independently of each other according to an irreducible rate matrix, and
a Moran type reproduction process, where two individuals are uniformly
chosen, one dies and the other is duplicated. During this talk we will
discuss some recent results for the spectrum of the generator of the
neutral multi-allelic Moran process, providing explicit expressions for
its eigenvalues in terms of the eigenvalues of the rate matrix that
drives the mutation process. Our approach does not require that the
mutation process be reversible, or even diagonalizable. Additionally, we
will discuss some applications of these results to the study of the
speed of convergence to stationarity of the Moran process for a process
with general mutation scheme. We specially focus on the case where the
mutation scheme satisfies the so called "parent independent" condition,
where (and only where) the neutral Moran model becomes reversible. In
this later case we can go further and prove the existence of a cutoff
phenomenon for the convergence to stationarity.
This presentation is based on a recently submitted work, for which a
preprint is available at https://arxiv.org/abs/2010.08809.
Tuesday, June 8, 16:00
Speaker: Willem Van Zuijlen (WIAS)
Title: Total mass asymptotics of the parabolic Anderson model
Abstract: We consider the parabolic Anderson model with a white noise potential in two dimensions. This model is also called the stochastic heat equation with a multiplicative noise. We study the large time asymptotics of the total mass of the solution. Due to the irregularity of the white noise, in two dimensions the equation is a priori not well-posed. Using paracontrolled calculus or regularity structures one can make sense of the equation by a renormalisation, which can be thought of as ''subtracting infinity of the potential''. To obtain the asymptotics of the total mass we use the spectral decomposition, an alternative Feynman-Kac type representation and heat-kernel estimates which come from joint works with Khalil Chouk, Wolfgang König and Nicolas Perkowski.
************************
Giacomo Di Gesù
Dipartimento di Matematica
Università di Pisa
Largo Bruno Pontecorvo 5
56127 - Pisa, Italy
giacomo.digesu(a)unipi.it<mailto:giacomo.digesu@unipi.it>
https://sites.google.com/site/giacomodigesu/