Dear all,
this is to point to your attention the call for papers for a special issue
in Information Sciences on themes related to data science and finance.
More detail can be found here:
https://www.journals.elsevier.com/information-sciences/call-for-papers/big-…
Thank you for your attention.
Best regards,
Roy Cerqueti
--
________________________________________________________
Le informazioni
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The information contained
in this e mail message is strictly confidential and intended for the use of
the addressee only. If you are not the intended recipient, please do not
read, copy, forward or store it on your computer. If you have received the
message in error, please forward it back to the sender and delete it
permanently from your computer system.
--
Fai crescere i nostri giovani ricercatori
dona il 5 per mille alla
Sapienza
*codice fiscale 80209930587*
Dear all,
We are glad to announce the first seminar of the *Torino seminar series in
Stochastics and Mathematical Statistics. *
Torino seminar series SMS is a monthly seminar series held at the
Department of Mathematics G. Peano of the University of Turin. For more
info and a list of future talks see
https://sites.google.com/view/torinostochastics.
*Date and time:** Friday 1 October*, 2021, h 17:00-18:00
*Location*: Aula Magna, Palazzo Campana, via Carlo Alberto 10, Torino
*Speaker*: *Francesco RUSSO *(ENSTA Paris, Institut Polytechnique de Paris)
*Title*: Fokker-Planck equations with terminal condition and related
McKean probabilistic representation
*Abstract**:* Stochastic differential equations (SDEs) in the sense of
McKean are stochastic differential equations, whose coefficients do not
only depend on time and on the position of the solution process, but also
on its marginal laws. Often they constitute probabilistic representation of
conservative PDEs, called Fokker-Planck equations; In general Fokker-Planck
PDEs are well-posed if the initial condition is specified. Here,
alternatively, we consider the inverse problem which consists in
prescribing the final data: in particular we give sufficient conditions for
existence and uniqueness. We also provide a probabilistic representation of
those PDEs in the form of a solution of a McKean type equation
corresponding to the time-reversal dynamics of a diffusion process. The
research is motivated by some application consisting in representing some
semilinear PDEs (typically Hamilton-Jacobi-Bellman in stochastic control)
fully backwardly. This work is based on a collaboration with L. Izydorczyk
(ENSTA), N. Oudhane (EDF), G. Tessitore (Milano Bicocca)
Best regards,
The organizers (Tiziano De Angelis, Giuseppe D'Onofrio, Elena Issoglio)
Care colleghe e colleghi,
Vi puo' forse interessare questo seminario che si terra' giovedi' prossimo.
Cordiali saluti,
Enrico Scalas
--
Dear all,
This Thursday we kick off our Mathematical Physics seminar series for the
new academic year with a talk by Antoine Dahlqvist (Sussex) on
Large N limits of Wilson loops in gauge theories
Abstract:
Gauge theories are a type of field theory introduced and studied from the
70’s by physicists as a theoretical model describing the fundamental
interactions between elementary particles. It quickly appeared to be a
place where geometry and physics met and influenced each others. In this
talk, I shall discuss some questions closer to probability and random
matrix theory, inspired by the so-called large N limit regime of Euclidean
field theories. I will present some old and new theorems about the
Yang-Mills measure for two dimensional space-time geometries.
The seminars are fortnightly on Thursdays 12:00 - 13:00 in 5C11 and can
also be followed on Zoom
https://universityofsussex.zoom.us/j/98075042563?pwd=VTBxSHVMVUl2Y0piblp4Y0…
Passcode: 938719
The seminars are open for everyone with an interest in topics on the
intersection of Mathematics and Physics
The schedule for the seminars this term can be found at
https://www.maths.sussex.ac.uk/seminars/mathphys.html
To receive further announcements for our seminar series, please sign up to
the mailing list 'mathphy_seminar' following the guidance at
https://support.microsoft.com/en-us/office/distribution-groups-e8ba58a8-fab…
Best wishes,
Antoine, Michael, Xavier and Folkert
>From Prof. Johanna Ziegel:
==========================================
UNIVERSITY OF BERN
INSTITUTE OF MATHEMATICAL STATISTICS AND ACTUARIAL SCIENCE
2 PhD POSITIONS
We invite applications for 2 PhD positions in several areas of research
pursued by professors of the institute.
1) Probability theory (with emphasis on stochastic geometry, point
processes, stable laws; supervised by Ilya Molchanov).
2) Mathematical statistics (with emphasis on empirical processes and
nonparametric statistics; supervised by Lutz Dümbgen).
3) Statistical data science (with emphasis on forecasting and kernel-based
methods; supervised by David Ginsbourger and/or Johanna Ziegel).
The salary will be at the level foreseen by the Swiss National Foundation,
see
http://www.snf.ch/SiteCollectionDocuments/allg_doktorierende_d.pdf
There is a possibility to complement the salary by taking up teaching
and statistical consulting duties in the department. The starting date
is February 2022 or as can be arranged by mutual agreement.
The applications should be submitted in a single pdf file, which includes a
cover letter (indicating one of the areas mentioned above as the preferred
field of research), CV, transcripts from Bachelor and Master Studies, and
e-mail addresses of two academic referees. Please, also send a copy of your
master thesis as a separate file. If you have not completed your master
thesis yet, please provide an outline of your thesis topic and the expected
date of completion. The evaluation of applications starts on the 10th of
October 2021. Later applications will be also considered, if the positions
are not filled by that time.
Applications should be e-mailed to the institute at
<office(a)stat.unibe.ch>
and addressed to the Director of the Institute, Prof. Johanna Ziegel.
Further information is available from Profs. Lutz Dümbgen, David
Ginsbourger, Ilya Molchanov and Johanna Ziegel.
Il Gruppo UMI (Unione Matematica Italiana) PRobability In Statistics, Mathematics and Applications (PRISMA) è lieto di annunciare un incontro online sulla
Didattica della Probabilità e della Statistica nei corsi di laurea degli Atenei Italiani
Grazie al contributo di numerosi esperti, verranno discussi contenuti e modalità didattiche in molti ambiti, evidenziando per ciascuno le esigenze specifiche.
A questo messaggio allego la locandina con il programma provvisiorio.
Per aggiornamenti si rimanda alla pagina https://sites.google.com/view/prisma-didattica-probstat/, da cui si accede ad un breve modulo di iscrizione. L’indirizzo per la partecipazione all’incontro verrà poi inviato per posta elettronica a tutti gli iscritti.
Paolo Dai Pra
Paolo Dai Pra
Dipartimento di Informatica
Università degli Studi di Verona
Strada Le Grazie 15, 37134 Verona, Italy
Tel. +390458027093
Paolo Dai Pra
Dipartimento di Informatica
Università degli Studi di Verona
Strada Le Grazie 15, 37134 Verona, Italy
Tel. +390458027093
Il Gruppo UMI (Unione Matematica Italiana) PRobability In Statistics, Mathematics and Applications (PRISMA) è lieto di annunciare un incontro online sulla
Didattica della Probabilità e della Statistica nei corsi di laurea degli Atenei Italiani
Grazie al contributo di numerosi esperti, verranno discussi contenuti e modalità didattiche in molti ambiti, evidenziando per ciascuno le esigenze specifiche.
A questo messaggio allego la locandina con il programma provvisiorio.
Per aggiornamenti si rimanda alla pagina https://sites.google.com/view/prisma-didattica-probstat/, da cui si accede ad un breve modulo di iscrizione. L’indirizzo per la partecipazione all’incontro verrà poi inviato per posta elettronica a tutti gli iscritti.
Paolo Dai Pra
Paolo Dai Pra
Dipartimento di Informatica
Università degli Studi di Verona
Strada Le Grazie 15, 37134 Verona, Italy
Tel. +390458027093
Salve,
ricevo ed inoltro p.c..
Cordialmente,
m.gianfelice
-----------------------------------------------------------------------
Michele Gianfelice, PhD
Dipartimento di Matematica e Informatica
Università della Calabria Telephone : +39 0984 496412
Campus di Arcavacata Fax : +39 0984 496410
Ponte P. Bucci - cubo 30B email: gianfelice(a)mat.unical.it
I-87036 Arcavacata di Rende (CS) www.mat.unical.it/~gianfelice/
-----------------------------------------------------------------------
---------- Forwarded message ----------
Date: Thu, 23 Sep 2021 20:43:34 +0200
From: One World Probability <ow.probability(a)gmail.com>
To: owps(a)lists.bath.ac.uk
Subject: [owps] OWPS,
October 7th: P. Diaconis and L. Miclo on "THE random graph"
Dear probabilists,
We are pleased to inform you that the OWPS will resume on October 7th, from 14:00 to 15:45 UTC.
Persi Diaconis and Laurent Miclo will talk about THE random graph and random walk on it. Titles, abstracts and the Zoom
link are below the signature, and can be found on the website
https://www.owprobability.org/one-world-probability-seminar.
We also inform you that, in accordance with the wishes expressed in the pooling, sessions will take place every other
week (i.e. ~2 per month). Each session will consist of two talks of 45 minutes each. These two talks will be
thematically unified.
Please feel free to circulate this email.
Probabilistically yours,
Bastien Mallein and Sébastien Martineau
--------
Persi Diaconis -- Probability theory for THE random graph
Pick two Erdös-Renyi (n,1/2) graphs uniformly at random. What's the chance they are the same (isomorphic)? Small. How
small? Well, at most n!/ 2^(n choose 2). When n= 100, that's less than 10^-1300. OK, now let n=infinity. The chance that
the two graphs are isomorphic is one (!). This is THE random graph (the Rado graph R). I will review its many non-random
models and many strange properties. ? It is a natural limit of the set of all finite graphs (a first order property is
true for almost all finite graphs if and only if it holds with probability one in R) and this discontinuity is
surprising.
In joint work with with Sourav Chatterjee we tried to find finite manifestations: For finite n, the largest isomorphic
induced subgraph of a pair has size 4log (n) -2loglog(n)-2log(4/e) +1 (within 1, all logs base 2 in probability when n
is large). This matches data amazingly well (e.g. for n more than 30) and illuminates problems in constraint
satisfaction.
Laurent Mico -- A random walk on THE random graph R
Let q(j) be a probability on N={0,1,2,...}. Let R be a model of THE random graph. A Markov chain on N starts at i and
moves to one of its neighbor j in R with probability proportional to q(j). This Markov chain has a stationary
distribution and we inquire about rates of convergence. Since each vertex is connected to half of the others and the
diameter of R is 2, it seems likely that convergence is fast. In some models we show that log* (i) steps are necessary
and sufficient for convergence. The proof uses a novel variant of Hardy's inequalities for trees. This is joint work
with Sourav Chatterjee and Persi Diaconis.
Zoom-link: https://us02web.zoom.us/j/81721277245?pwd=VjhadGFZcTVZamsvRkhZUExVbHAyZz09
Meeting ID 817 2127 7245
Passcode: 759491
If you are having trouble with zoom, or if the capacity of the zoom room gets exceeded, you can also access to the
Youtube live stream at the channel of the seminar: https://www.youtube.com/channel/UCiLiEQGTp6bZEhuHDM-WNWQ
Care colleghe e cari colleghi,
nell'ambito del programma "Fractional Differential Equations" (
https://www.newton.ac.uk/event/fde2/) che si terrà all'Isaac Newton
Institute a Cambridge, organizzo una settimana di studi su
"Deterministic and stochastic fractional differential equations and jump
processes" (https://www.newton.ac.uk/event/fd2w01/) insieme a Jozsef
Lorinczi e Vassili Kolokoltsov.
L'evento avrà luogo tra il 21 febbraio e il 25 febbraio 2022 (ed è ora
possibile registrarsi fino al 21 novembre 2021) e si terrà in
modalità ibrida (online e con persone presenti, se possibile). La
partecipazione online è gratuita. Per i dettagli potete consultare il sito
seguente:
https://www.newton.ac.uk/event/fd2w01/
Cordiali saluti,
Enrico Scalas
Dear colleagues,
we are happy to announce the following online talk:
Speaker: Hakima Bessaih (Florida International University)
Title: Numerical schemes for the 2d Stochastic Navier-Stokes equations.
Abstract: We consider a time discretization scheme of Euler type for the 2d stochastic Navier-Stokes equations on the torus.
We prove a mean square rate of convergence. This refines previous results established with a rate of convergence in probability only.
Using exponential moment estimates of the solution of the Navier-Stokes equations and a convergence of a localized scheme, we can prove strong convergence of fully implicit and semi-implicit time Euler discretization and also a splitting scheme. The speed of convergence depends on the diffusion coefficient and the viscosity parameter.
When the noise is additive, we are able to get strong convergence without localization.
Date and time: Monday September 27, 17:30-18:30 (Rome time zone)
Zoom link: https://us02web.zoom.us/j/5772228296
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)