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/
Dear colleagues,
this email is to announce the Probability and Finance seminar of this
week, "in Padova" (Zoom). Here are the details:
* Speaker: *M. MNIF* (University of Monastir, Tunisia)
* Title: *Nonzero-sum stochastic Impulse Games with an application in
competitive retail energy markets*
* Date: *Friday June 4*, 2021 at 3 pm (ITA time)
* Abstract: We study a nonzero-sum stochastic differential game with both
players adopting impulse controls, on a finite time horizon. We derive the
corresponding system of quasi-variational inequalities (QVIs in short). We
prove, by means of the weak dynamic programming principle for the
stochastic differential game, that the value function of each player is the
unique viscosity solution to the associated QVIs system. We present a
probabilistic numerical scheme which approximates the solution of the QVIs
system and we give some numerical results.
*** Zoom link: https://unipd.zoom.us/j/85706083496
Have a nice day,
Giorgia Callegaro
--
Giorgia Callegaro
Associate Professor
Department of Mathematics - University of Padova
Via Trieste 63 , I-35121 Padova - ITALY
Tel: +39-0498271481 Fax: +39-0498271499
E-Mail: gcallega(a)math.unipd.it
<https://webmail.math.unipd.it/horde3/imp/message.php?mailbox=Sent&index=598#>
Personal web-page: https://sites.google.com/site/giogiocallegaro/Home
Care colleghe e colleghi,
in seguito a una recente donazione al Dipartimento di Matematica
dell'Universita' del Sussex abbiamo istituito il "James (Jim) Perry Browne
Sussex Mathematics Colloquium".
La prima lezione sara' tenuta dal Prof. Alessio Figalli dell'ETH di Zurigo
il 10 giugno 2021 alle 15:00 ora UK (16:00 italiane) su Zoom. Il prof.
Figalli introdurra' la teoria del trasporto ottimale per un pubblico non
specialistico.
Informazioni su come accedere all'evento si trovano a questo link:
http://www.sussex.ac.uk/maths/about/newsandevents/events?id=55357
Il seminario puo' essere interessante per chi si occupa di probabilita' e
analisi. Vi prego di diffondere l'informazione e mi scuso in anticipo se
avete gia' ricevuto questo annuncio.
Grazie per l'attenzione e cordiali saluti,
Enrico Scalas
Dear All,
We are pleased to announce a 2-day online workshop on "Stochastic Games
with Partial and Asymmetric Information", which will be held on 6 - 7 July
via Zoom and hosted by Collegio Carlo Alberto in Turin.
Registration is free but compulsory via the dedicated website
https://www.carloalberto.org/event/workshop-on-stochastic-games-with-partia…
On the website you can also find the list of guest speakers, titles of
their talks and a tentative schedule. Further information and the relevant
Zoom links will be sent to registered participants closer to the date.
Best wishes
Tiziano De Angelis and Jan Palczewski
Dear Everyone,
The Department of Mathematics and Computer Science of TU Eindhoven (Netherlands) has an open Ph.D. position in Mathematical Statistics. We are looking for a motivated candidate with a solid theoretical background in Probability/Statistics to join our group and conduct research in the area of dependence modeling and copulas under my supervision.
Salary Range: EUR 2395 to EUR 3061 gross per month
Duration: 4 year
Application deadline: July 11, 2021
Job description and how to apply: https://jobs.tue.nl/en/vacancy/phd-on-positive-dependence-and-copulas-87980… <https://jobs.tue.nl/en/vacancy/phd-on-positive-dependence-and-copulas-87980…>
Please forward this email to any potential candidate, and reach out to me at e.perrone(a)tue.nl <mailto:e.perrone@tue.nl> for further information on the position.
Thanks and best regards,
Elisa
---
Elisa Perrone, Ph.D.
Assistant Professor
Department of Mathematics and Computer Science
Eindhoven University of Technology
elisaperrone.info <http://elisaperrone.info/>
We announce the following webinar from the Statistics Series at Università Bocconi:
Date: Thursday, June 3rd, h17:00 (Italy time)
Speaker: Stanislav Volgushev (University of Toronto)
Title: Structure learning for Extremes
Abstract: Extremal graphical models are sparse statistical models for multivariate extreme events. The underlying graph encodes conditional independencies and enables a visual interpretation of the complex extremal dependence structure. For the important case of tree models, we provide a data-driven methodology for learning the graphical structure. We show that sample versions of the extremal correlation and a new summary statistic, which we call the extremal variogram, can be used as weights for a minimum spanning tree to consistently recover the true underlying tree. Remarkably, this implies that extremal tree models can be learned in a completely non-parametric fashion by using simple summary statistics and without the need to assume discrete distributions, existence of densities, or parametric models for marginal or bivariate distributions. Extensions to more general graphs are also discussed.
The webinar will be on zoom at:
https://zoom.us/j/97942632075?pwd=eDhNTlREdU5UVGpMcDVPSWV2bU5nQT09
Meeting ID: 979 4263 2075
Passcode: 627490
Kind regards,
Giacomo Zanella
[La tua firma può scrivere un futuro. Aiuta gli studenti meritevoli a costruire il proprio. Dai il tuo 5x1000 alla Bocconi C.F. 80024610158]
Please note that the above message is addressed only to individuals filing Italian income tax returns.
5x1000 is a percentage of Italian personal income tax that taxpayers can allocate to Universities, scientific research and non profit organizations.