Dear colleagues,
the Technical University of Vienna <https://www.tuwien.at/en/> is
advertising a *tenure-track* *position in probability* (main focus:
probabilistic methods in mathematical physics and related areas). The
(earliest) starting date is March 1^st , 2022. The successful candidate
will become member of the Mathematical Stochastics group, that I have
been heading since 2020.
I would be grateful if you could forward this message to any suitable
candidates (the application deadline is *September 9th, 2021*).
Applications can be submitted online via this link
<https://jobs.tuwien.ac.at/Job/153800>.
Candidates are encouraged to contact me
<https://toninellifabio.wixsite.com/homepage>
(fabio.toninelli(a)tuwien.ac.at) directly for any question related to this
position.
With best wishes and many thanks
Fabio Toninelli
--
Prof. Dr. Fabio Toninelli
Technical University of Vienna
Institut für Stochastik und Wirtschaftsmathematik
Wiedner Hauptstrasse 8-10, 1040 Wien, Austria
Office: 6th floor, green area. tel: +43-1-58801-10570
https://toninellifabio.wixsite.com/homepage
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
*************************************************
Dear Colleagues,
We are pleased to announce that (with our apologies for cross-posting)
the *2021-2022* edition of the *International Master in Economics and
Finance* (IMEF), a quantitative economics and finance program offered by
Ca' Foscari University of Venice, is forthcoming! Main sponsors:
*Generali Italia* and *KPMG*. *
*
*Deadline for application*: September 10th, 2021. For further
information please visit: www.unive.it/imef <http://www.unive.it/imef>
Best Regards,
Roberto Casarin
--
Roberto Casarin, PhD
Professor of Econometrics
Associate Editor - Bayesian Analysis
University Ca' Foscari, Venice
Address: San Giobbe 873/b, 30121 Venezia, Italy
Web:http://sites.google.com/view/robertocasarin/ <http://sites.google.com/view/robertocasarin/>
*25th Edition! *
* includes Bloomberg Lab modules and gives the opportunity to get the
*Bloomberg Certification
<https://www.bloomberg.com/professional/expertise/universities/students/>**!*
* offers new courses on *Real Estates*, *Finance*, *Machine Learning for
Finance*, *Introduction to Coding* that will still be taught by the
members of our *International Faculty <http://www.unive.it/pag/33235/>
*and *Advanced Risk Management taught by KPMG.*
* Students will benefit from reduced fees thanks to the sponsors
contribution.
*Why choose IMEF?*
1) IMEF provides a highly qualified programme thanks to its prestigious
International Faculty
2) Students’ Placement is supported directly by IMEF Secretariat and Ca'
Foscari Placement Office. Please have a look at Former students'
experience: http://www.unive.it/pag/33229/ <http://www.unive.it/pag/33229/>
3) Attending IMEF courses will introduce you to high quality jobs, which
wouldn’t be achievable with only a Master’s Degree title.
4) Preparation for the admission to PhD Programmes.
Further information: Federica Varosio at imef(a)unive.it
<mailto:imef@unive.it>, tel. 041 234 9108.
Ricevo e inoltro con piacere
Saluti
Alessandra
---------- Messaggio inoltrato ----------
Da: <angel(a)math.ubc.ca>
Data: venerdì 18 giugno 2021
Oggetto: Announcemnt - OOPS 2021
A:
Dear Friend of OOPS,
Following the success of last year's open online probability school (OOPS,
https://www.math.ubc/ca/Links/OOPS) and based on overwhelmingly positive
replies to the poll sent out earlier this summer, we are happy to announce
the 2021 edition of OOPS, which will take place this July and August.
The target audience is graduate students and postdocs in probability, as
well as more senior researchers who wish to expand their horizons. Please
forward this information to anyone who may be interested.
A tentative schedule is up at https://www.math.ubc.ca/Links/OOPS .
No registration is required. We will be sending roughly weekly schedule
notices to our mailing list. If you wish to be added to or removed from our
mailing list, let us know at this link: https://forms.gle/i8KCFdMqe6FUEak57
best wishes,
Omer Angel
Other organizers:
Yu-Ting Chen, Alex Fribergh, Sarai Hernandez-Torres, Thomas Hughes, James
Martin, Rourab Ray, Leo Rolla
--
*************************************************
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
*************************************************