*********************************************************************
SEMINARI DI PROBABILITA' E STATISTICA MATEMATICA
DIPARTIMENTO DI MATEMATICA "G. PEANO"
UNIVERSITA' DEGLI STUDI DI TORINO
*con il supporto della fondazione CRT*
*********************************************************************
https://sites.google.com/view/torinostochastics/seminar-series-on-data-scie…
Nell'ambito delle attività seminariali del Dottorato in Modeling and Data
Science, *Giovedì 17 Marzo 2022 alle ore 17:00* in Aula Magna presso il
Dipartimento di Matematica "G. Peano" dell'Università degli Studi di
Torino, Via Carlo Alberto 10,
il Prof. *Ernesto De Vito* (Dipartimento di Matematica, Università di
Genova)
terrà un seminario dal titolo
*Machine Learning from a mathematical view point: a gentle introduction.*
Abstract: The talk is devoted to a mathematical introduction to Machine
Learning. We focus on supervised learning setting and kernel methods with
square loss by using classical tools from the theory of inverse problems.
Tutti gli interessati sono invitati a partecipare.
E' possibile seguire il seminario on line su piattaforma WebEx. Chi fosse
interessato, può scrivermi e provvederò a inviare l'invito.
--
%-------------------------------------------------------
Elvira Di Nardo
Dept. Mathematics "G. Peano"
University of Torino
Via Carlo Alberto 10
10123 Torino, Italia
tel. +39 0116702862
fax +39 0116702878
http://www.elviradinardo.it
%-------------------------------------------------------
Statistics Seminars 2022
Dipartimento di Scienze Statistiche “Paolo Fortunati”, Università di
Bologna
*Marc Henrard *(muRisQ Advisory)
* “Benchmark transition: why mathematicians/statisticians are required” *
*Giovedì 17 marzo 2022 alle ore 16.00 *
_____________________________________________________________________________
Riunione di Microsoft Teams
*Partecipa da computer o app per dispositivi mobili*
Fai clic qui per partecipare alla riunione
<https://teams.microsoft.com/l/meetup-join/19%3ameeting_ZTYyNzU0ZTgtNmNjMy00…>
Altre informazioni <https://aka.ms/JoinTeamsMeeting> | Opzioni riunione
<https://teams.microsoft.com/meetingOptions/?organizerId=7e2f9ad3-2ed9-4de5-…>
____________________________________________________________________________
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SEMINARI DI PROBABILITA' E STATISTICA MATEMATICA
DIPARTIMENTO DI MATEMATICA "G. PEANO"
UNIVERSITA' DEGLI STUDI DI TORINO
*********************************************************************
https://sites.google.com/view/torinostochastics/seminar-series-on-data-scie…
Giovedì 17 Marzo 2022 alle ore 17:00 in Aula Magna presso il Dipartimento
di Matematica "G. Peano" dell'Università degli Studi di Torino, Via Carlo
Alberto 10,
il Prof. *Ernesto De Vivo* (Dipartimento di Matematica, Università di
Genova)
terrà un seminario dal titolo
*Machine Learning from a mathematical view point: a gentle introduction.*
Abstract: The talk is devoted to a mathematical introduction to Machine
Learning. We focus on supervised learning setting and kernel methods with
square loss by using classical tools from the theory of inverse problems.
Tutti gli interessati sono invitati a partecipare.
--
%-------------------------------------------------------
Elvira Di Nardo
Dept. Mathematics "G. Peano"
University of Torino
Via Carlo Alberto 10
10123 Torino, Italia
tel. +39 0116702862
fax +39 0116702878
http://www.elviradinardo.it
%-------------------------------------------------------
SEMINARS IN STATISTICS @ COLLEGIO CARLO ALBERTO
<https://www.carloalberto.org/events/category/seminars/seminars-in-statistic…>
Venerdi 18 Marzo 2022, alle ore 12.00, presso il Collegio Carlo Alberto, in
Piazza Arbarello 8, Torino, si terrà il seguente seminario:
------------------------------------------------
Speaker: *Cristina Butucea* (CREST, ENSAE IP Paris)
Title: *Nonlinear functionals estimation under local differential privacy*
Abstract: The concept of differential privacy provides a rigorous formalism
to randomize data and quantify the amount of privacy. We consider i.i.d.
individuals with outcomes distributed according to the common probability
distribution P. This original data is further randomized using a privacy
mechanism into observations that the statistician is allowed to use in
order to recover information about the distribution P. We will consider
local differential privacy where each sample from the original data is
privatized on the user’s local machine before its release.
We build privatized samples and nonparametric estimation methods of
nonlinear functionals of the probability density and prove their
optimality. We show that for the estimation of a quadratic functional,
interactive procedures that use previously released private data are faster
than the non interactive ones. In both cases we show how to produce privacy
mechanisms and estimators adaptive to (free of) the smoothness of the
underlying density. We extend these results to non smooth functionals of
the density.
This is based on joint work with A. Rohde, L. Steinberger and Y. Issartel.
------------------------------------------------
In ottemperanza alle norme anti Covid, per partecipare in presenza è
necessario prenotarsi tramite il seguente form online:
https://forms.gle/s6n5Z8QwNYp7fypw7
Sarà possibile seguire il seminario anche in streaming:
Join Zoom Meeting
<https://us02web.zoom.us/j/88303761211?pwd=MzFhOThna1B5WWFqWVNySEVMcEVMdz09>
Meeting ID: 883 0376 1211
Passcode: 493770
Il seminario è organizzato dalla "de Castro" Statistics Initiative
www.carloalberto.org/stats
Cordiali saluti,
Pierpaolo De Blasi
--
Pierpaolo De Blasi
University of Torino & Collegio Carlo Alberto
carloalberto.org/pdeblasi
<https://sites.google.com/a/carloalberto.org/pdeblasi/>
--
Pierpaolo De Blasi
University of Torino & Collegio Carlo Alberto
carloalberto.org/pdeblasi
<https://sites.google.com/a/carloalberto.org/pdeblasi/>
SEMINARS IN STATISTICS @ COLLEGIO CARLO ALBERTO
<https://www.carloalberto.org/events/category/seminars/seminars-in-statistic…>
Venerdi 18 Marzo 2022, alle ore 11.00, presso il Collegio Carlo Alberto, in
Piazza Arbarello 8, Torino, si terrà il seguente seminario:
------------------------------------------------
Speaker: *Peter Tankov* (CREST, ENSAE IP Paris)
Title: *Mean-field games: the linear programming approach*
Abstract: We will review the linear programming approach to mean-field
games, developed by the author in a series of papers. Mean-field games are
games with a large number of identical small agents and symmetric
interactions, which have found many applications in finance and economics.
The linear programming approach is a relaxation technique, which allows to
prove existence results under weak assumptions, and lends itself well to
numerical implementation. We will present an application of the approach to
a model of energy markets and discuss the « linear programming fictitious
play » algorithm for approximating the equilibrium.
------------------------------------------------
In ottemperanza alle norme anti Covid, per partecipare in presenza è
necessario prenotarsi tramite il seguente form online:
https://forms.gle/Bmxgd6w2wxtMT6aT9
Sarà possibile seguire il seminario anche in streaming:
Join Zoom Meeting
<https://us02web.zoom.us/j/88303761211?pwd=MzFhOThna1B5WWFqWVNySEVMcEVMdz09>
Meeting ID: 883 0376 1211
Passcode: 493770
Il seminario è organizzato dalla "de Castro" Statistics Initiative
www.carloalberto.org/stats
Cordiali saluti,
Pierpaolo De Blasi
--
Pierpaolo De Blasi
University of Torino & Collegio Carlo Alberto
carloalberto.org/pdeblasi
<https://sites.google.com/a/carloalberto.org/pdeblasi/>
Inoltro da parte della collega Prof Francesca Ieva una call per posizioni postdoc presso CHDS.
Cordiali saluti,
Laura Sangalli
Dear collegues,
the Human Technopole Center for Health Data Science (CHDS - https://humantechnopole.it/it/centri-di-ricerca/health-data-science/) offers two post doc positions, one for a health data scientist and one for a biostatistician/epidemiologist.
The profiles we are looking for are people with a strong background in data science and analysis and integration of complex health data, with a focus on (multi-)omics data and data from Electronic Health Records (EHR).
People with a PhD in Statistics, Data Science, Computer Science, Mathematics and any affine disciplines are eligible.
The links where you can find the calls and the application forms are the following:
https://careers.humantechnopole.it/o/health-data-scientisthttps://careers.humantechnopole.it/o/epidemiologist-health-data-science-cen…
I kindly ask you to share the information among anybody who may be interesting in applying.
For any further information, please do not haesitate to contact me and/or Prof. Emanuele Diangelantonio (emanuele.di...(a)fht.org<https://groups.google.com/>).
Best regards
Francesca Ieva
--
Francesca Ieva
Associate Professor of Statistics
MOX - Department of Mathematics
Politecnico di Milano, Milan 20133, Italy
[url] https://sites.google.com/view/francesca-ieva/home
Associate Head of CHDS - Center for Health Data Science
Human Technopole, Milan, Italy
——
Laura Maria Sangalli
MOX - Dipartimento di Matematica
Politecnico di Milano
Piazza Leonardo da Vinci 32
20133 Milano - Italy
tel: +39 02 2399 4554
fax: +39 02 2399 4568
email: laura.sangalli(a)polimi.it<mailto:laura.sangalli@polimi.it>
url: http://mox.polimi.it/~sangalli
Buongiorno,
Antoine Gloria mi ha pregata di pubblicizzare il gruppo di lavoro
``Oberwolfach
Arbeitsgemeinschaft'' su
``Quantitative Stochastic Homogenization'' organizzata da A. Gloria,
F.Otto ad Oberwolfach nella settimana
October 16th - October 22nd 2022.
Sotto trovate varie informazioni e al link anche una descrizione e un
programma dettagliati, prese dalla mail che mi ha inviato.
Grazie dell'attenzione
Saluti
Alessandra
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
The Arbeitsgemeinschaft is an old Oberwolfach institution, started by
Faltings and Deninger. It is a reading group with presentations, organized
like a students' seminar. The target group are mathematicians of all
academic age that are interested in an efficient introduction into a timely
topic, with an own active participation. As opposed to workshops, people
apply to participate.
Incidentally, at the end of each Arbeitsgemeinschaft, the participants
discuss topics for next year. For a long time, there has been just a single
strand. Recently, Oberwolfach decided to widen to three strands, of which
Martin Hairer, Peter Scholze, and Andreas Thom are in charge. The idea is
that Martin's strand will be targeted towards more applied topics. Martin
asked Felix and me to organize the first event on this topic. (Fifteen
years ago, Theo Sturm organized a week on Optimal Transportation).
It would be great if you could advertise the event; perhaps there are
people in your environment that are interested. More details and the list
of topics plus material for the talks are under
https://www.mfo.de/occasion/2242/www_view
Thank you and best wishes,
Antoine
--
*************************************************
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
*************************************************
---------- Forwarded message ----------
Date: Sat, 5 Mar 2022 13:09:20 -0800
From: Eleonora Losiouk <elosiouk(a)math.unipd.it>
Subject: ScienceForUkraine
Dear colleagues,
I would like to introduce you to ScienceForUkraine, an initiative to collect
and advertise the support provided by universities and research institutions
to students and researchers from Ukraine.
Together with Marcin Bartosiak, a colleague from the University of Pavia, we
are helping with the coordination in Italy.
If your research group offers job opportunities for Ukranian people, please,
contact us and share the details by filling this form
(https://scienceforukraine.eu/science_for_ukraine_table.xlsx) so that we can
publish the information on the website and reach out as many people as
possible!
For more information, please, visit the website:
https://scienceforukraine.eu/
Thanks in advance for the support,
Eleonora
Cari colleghi,
Volevo segnalarvi l’apertura di una posizione di un anno come Research Technician presso il BCAM - Basque Center for Applied Mathematics di Bilbao, nei Paesi Baschi. Il bando è rivolto a studenti neo laureati con il desiderio di fare una esperienza nel mondo della ricerca prima di scegliere un dottorato. La scadenza per fare domanda è il 29 Aprile 2022 e questo è il link del bando:
http://www.bcamath.org/en/research/job/ic2022-03-research-technician-in-sta… <http://www.bcamath.org/en/research/job/ic2022-03-research-technician-in-sta…>
L’attività in programma riguarda lo studio statistico dell’evoluzione di aree generate attraverso un codice ad automi cellulari con applicazione agli incendi boschivi.
Ogni tipo di domanda può essere rivolta a me: gpagnini(a)bcamath.org <mailto:gpagnini@bcamath.org>
Grazie.
Saluti,
Gianni
—
Gianni Pagnini
Ikerbasque Research Associate
BCAM - Basque Center for Applied Mathematics
Alameda de Mazarredo, 14
E-48009 Bilbao, Basque Country - Spain
Tel. +34 946 567 842
gpagnini(a)bcamath.org | www.bcamath.org/gpagnini
( matematika mugaz bestalde )
21st INTERNATIONAL CONFERENCE
CREDIT 2022
*Long Run Risks *
Venice, Italy
22 –23 September 2022
*
*
*GRETA Associati* (Venice, Italy), *CRIF* (Bologna, Italy), *European
Datawarehouse* (Frankfurt, Germany), *European Investment Bank*
(Luxembourg) and*Intesa Sanpaolo* (Milan, Italy) are partners in
organising a Conference to be held in Venice on September 22-23, 2022.
The Conference CREDIT 2022 will bring together academics, practitioners
and PhD students working in various areas of financial and credit risk
with the aim to create a unique opportunity for participants to discuss
research progress and policy and industry-relevant insights as well as
directions for future research.
CREDIT 2022 is the *twenty-first* in a series of events dedicated to
various aspects of credit risk and organised under the auspices of
the*Department of Economics *and *VERA - Venice centre in Economic and
Risk Analytics for public policies* - of the *Ca’ Foscari University of
Venice, ABI - Italian Banking Association, AIAF - Associazione Italiana
per l'Analisi Finanziaria*, and *AIFIRM - Associazione Italiana
Financial Industry Risk Managers*.
The theme of this year’s conference brings the attention on long run
risks, whose notion is multifaceted, but whose impact is becoming more
and more evident and is receiving attention both at political and
regulatory level.
The organizers encourage submissions on any topic within the overall
theme of the conference and in the following areas in particular:
• Long Run Risks: Modelling; Backtesting and Validation; ESG Risks
for significantly wider time horizons with respect to the most
traditional financial risks (Market, Credit, etc.)
• Long Run Investments and Portfolios: Illiquidity premium in the
short vs the long run; Investment risk in real assets: Focus on Real
Estate risk; Investment policies for Insurance and Pension Funds;
Private vs Public Markets in long run portfolios, the role of Private
Equity and the contribution to Venture Capital; Fintech for Sustainability
• Long Run Business Strategies: Sustainability Plans; Restructuring
of Production Processes; Mitigation of Climate Physical and Transition Risks
• Long Run Climate Policies: New regulatory actions to reduce
emissions of air pollutants and greenhouse gases; New financial
regulations to promote the Low-Carbon Transition at public and private level
• Socio-economic Stability in the Long Run: Inflation dynamics;
Impact of transition costs from an economic and social point of view;
New measures to manage migrations due to Climate Change
• Long Run Market Information and Disclosure: International Financial
Reporting Standards; International Accounting Standards; Long Run
Financial Regulation (Banks, Insurers, Funds)
The final program will include both submitted and invited papers.
Acceptances received so far from invited speakers include *Robert Engle*
(Stern Business School, New York University) and*Lucrezia Reichlin*
(London Business School). The Conference will also feature panel
discussions on researchers', practitioners' and policy makers’ views of
the major issues at stake
The SCIENTIFIC COMMITTEE for the Conference consists of:
*• Stefano Giglio* (Yale School of Management, Programme Chair)*
• Monica Billio* (Ca’ Foscari University of Venice & GRETA)*
• Francesca Campolongo* (Joint Research Center, European Commission)*
• Helmut Kraemer-Eis* (European Investment Fund)*
• Jan Pieter Krahnen* (Leibniz Institute for Financial Research SAFE
& Goethe University, Frankfurt)*
• Elisa Luciano* (University of Torino & Collegio Carlo Alberto)*
• Irene Monasterolo* (EDHEC Business School & EDHEC-Risk Institute,
Nice)*
• Steven Ongena* (University of Zurich, Swiss Finance Institute, KU
Leuven & CEPR)*
• Stephen Schaefer* (London Business School)*
• Claudio Tebaldi* (Bocconi University)*
*
CALL FOR PAPERS
Those wishing to present a paper at the Conference should submit by *May
31, 2022 *to the address given below (preferably in electronic format).
Please indicate to whom correspondence should be addressed. Decisions
regarding acceptance will be made by *June 30, 2022*. The final version
of accepted papers must be received by August 31, 2022.
Please send papers to:
GRETA Associati, San Polo, 2605 - 30125 Venice, ITALY
Phone : +39 041 5238178 - e-mail: credit(a)greta.it
More detailed information available on the Conference website:
https://www.greta.it/index.php/it/credit-2022