Cari colleghi
Lunedì prossimo avrà inizio il ciclo mensile di seminari online promosso
dal Gruppo UMI PRISMA:
1 Febbraio 2021, ore 16:00-18:00: Franco Flandoli, Mario Maurelli
TITLE: Regularization by noise
ABSTRACT: The presence of the irregular fluctuations of a noise
sometimes improves the theory of differential equations, ordinary or
partial, a phenomenon today called "regularization by noise". This joint
talk will introduce the problem in finite dimensions, by some classical
and some more recent examples and results. Then it moves to SPDEs, where
the results are mostly recent and under investigation. The different
roles of additive noise and multiplicative transport type noise, the
latter with its fluid mechanic flavour, will be described.
Collegamento Teams:
https://teams.microsoft.com/l/meetup-join/19%3a667d2414be564c5d8fba30acffeb…
Grazie per l'attenzione e scusate le ripetizioni,
Domenico Marinucci e Claudia Ceci
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Domenico Marinucci
Dipartimento di Matematica
Università di Roma Tor Vergata
https://www.mat.uniroma2.it/~marinucc/
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Buongiorno,
ricordo il seguente Seminario MOX on-line di giovedì organizzato dal
gruppo Stat@MOX.
28.1, ore 14:00
Link: https://mox.polimi.it/elenco-seminari/?id_evento=2001&t=763721
Speaker: Alessio Farcomeni, Università Roma Tor Vergata
Titolo: Nowcasting the Italian epidemic outbreak of SARS-CoV-2
Abstract: In the talk, we briefly discuss the main epidemiological
features of SARS-CoV-2 one year into the pandemic, giving also a short
account of the public data available for Italy and of the main limits of
lay analyses.
We then discuss an accurate method for short-term forecasting ICU
occupancy at local level. Our approach is based on an optimal ensemble
of two simple methods: a generalized linear mixed regression model which
pools information over different areas, and an area-specific
non-stationary integer autoregressive methodology. Optimal weights are
estimated using a leave-last-out rationale.
Daily predictions between February 24th and November, 27th 2020 have a
median error of 3 beds (third quartile: 8) at regional level, with
coverage of 99% prediction intervals that exceeds the nominal one.
Finally we present a different method based on a modified non-linear GLM
for each indicator, including the potential effect of exogenous
variables, based on appropriate distributional assumptions and a
logistic-type growth curve. This allows us to accurately predict
important characteristics of the epidemic (e.g., peak time and height).
Based on joint works with Pierfrancesco Alaimo di Loro, Fabio Divino,
Giovanna Jona Lasinio, Gianfranco Lovison, Antonello Maruotti, Marco
Mingione
Contatto: francesca.ieva(a)polimi.it
Buona giornata
Anna Maria Paganoni
--
Anna Maria Paganoni
MOX - Modeling and Scientific Computing
Dipartimento di Matematica "F. Brioschi"
Politecnico di Milano
Piazza Leonardo da Vinci, 32
I-20133 Milano - Italy
tel. +39 02 2399 4574
fax. +39 02 2399 4568
e.mail: anna.paganoni(a)polimi.it
Dear all,
This is a reminder for the: STAR Online Seminars.
The seminar will be held Friday 13. November from 11:00-12:00 . You will recieve the link for the Zoom room by registering for the seminar with the link provided at the end of this mail. The lecture will last for 45 minutes + questions.
This week's speaker is Rama Cont - University of Oxford, with the seminar: Excursion risk
Abstract: A broad class of dynamic trading strategies may be characterized in terms of excursions of the market price of a portfolio away from a reference level. We propose a mathematical framework for the risk analysis of such strategies, based on a description in terms of price excursions, first in a pathwise setting, without probabilistic assumptions, then in a probabilistic setting, when the price is modelled as a Markov process. We introduce the notion of δ-excursion, defined as a path which deviates by δ from a reference level before returning to this level. We show that every continuous path has a unique decomposition into such δ-excursions, which turn out to be useful for the scenario analysis of dynamic trading strategies, leading to simple expressions for the number of trades, realized profit, maximum loss and drawdown. When the underlying asset follows a Markov process, we combine these results with Ito's excursion theory to obtain a tractable decomposition of the process as a concatenation of independent δ-excursions, whose distribution is described in terms of Ito's excursion measure. We provide analytical results for linear diffusions and give new examples of stochastic processes for flexible and tractable modeling of excursions. Finally, we describe a non-parametric scenario simulation method for generating paths whose excursions match those observed in a data set. This is joint work with: Anna Ananova and RenYuan Xu.
After the end of the seminar, you are invited to bring a cup of coffee/tea and have a chat in our Coffee in the Stars here you will have the chance to talk and interact with the other persons that attended the seminar, and have a digital "coffee break".
We are looking forward to see you, online!
Best regards,
We are looking forward to see you, online!
Best regards,
Michele Giordano
Doctoral research fellow
Department of Mathematics
University of Oslo, Norway
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Register for the seminar: https://nettskjema.no/a/159180
Link for the seminar webpage: https://www.mn.uio.no/math/english/research/projects/storm/events/seminars/…
Cari tutti,
ricordo la scadenza dell'1 febbraio per la presentazione delle domande di ammissione al dottorato di ricerca in Statistics and Computer Science presso l'Università Bocconi (a.a. 2021-2022).
Vi sarei grato se voleste portare all'attenzione dei vostri studenti interessati la "call for applications", riportata di seguito.
Saluti,
AL
*******************
PhD in Statistics and Computer Science - a.y. 2021-2022
Call for applications for PhD student positions
*******************
The Bocconi PhD School provides 7 scholarships for the PhD in Statistics and Computer Science, and a position with tuition waiver.
* Scholarship amount *
20.280 euro per annum in the 1st and 2nd year
15.343 euro per annum in the 3rd and 4th year
Further funding is available through teaching and research assistantship.
Visit www.unibocconi.eu/admissionphd for detailed information.
** Applications are due by February 1, 2021 **
Within the PhD School at Bocconi University, the four-year PhD program in Statistics and Computer Science is a high profile and rigorous doctoral program that develops strong mathematical, statistical, computational and programming backgrounds.
The curriculum is structured into two tracks: Statistics and Computer science. The first year includes courses that are compulsory for all enrolled PhD students. The second-year features track-specific and elective courses that provide students with a more specialized competence and focus on topics that may be the object of the doctoral dissertation.
Dedicated mentorship is offered to students throughout their time at Bocconi. Multidisciplinary interchange with other graduate programs in Bocconi’s PhD School, as well as research experience abroad, are also encouraged.
The Faculty includes internationally acknowledged top researchers in Statistics, Computer Science, Decision Theory, Statistical Physics and Machine Learning. The program also benefits from contributions of authoritative visiting professors who deliver short monographic courses.
Highly qualified and motivated students with M.Sc. degrees in in Statistics, Mathematics, Computer Science, Economics, Physics, Engineering and related areas, as well as other quantitatively-oriented fields, are encouraged to apply for admission.
Applicants should hold, or be on their way to hold, a graduate degree or equivalent.
For further information about the PhD program in Statistics and Computer Science at Bocconi, visit www.unibocconi.eu/phdstatscompscience and feel free to contact:
Antonio Lijoi (antonio.lijoi(a)unibocconi.it)
Angela Baldassarre, PhD administrative assistant (angela.baldassarre(a)unibocconi.it)
Dear all
the Centre for Economic and International Studies
<http://www.ceistorvergata.it/> of the University of Rome Tor Vergata
<https://web.uniroma2.it/home/newlang/english> is promoting a one-year
post-doc position (renewable up to two years) within the project HIDEA
(Advanced econometric methods for high-frequency data)
<http://dse.univr.it/hidea/index.html>financed by the PRIN 2017 program.
You can apply on-line via the pica system using the link
https://pica.cineca.it/uniroma2/f2-2021-0002/
Please find attached a copy of the call and a guide on how to apply (both
in english).
The deadline is February, 21, 2021. Should you have any questions
concerning how to apply (or for further details on the position), please do
not hesitate to contact me.
Kind regards
Davide Pirino
Ricevo ed inoltro.
GP
---------- Forwarded message ---------
From: ivan nourdin <inourdin(a)gmail.com>
Date: Fri, 22 Jan 2021 at 09:31
Subject: Postdoc position in Luxembourg for June 2021
To:
Dear colleagues,
I am currently advertising a postdoc position in Luxembourg.
I would be grateful if you could forward the announcement below to
potential candidates.
Thanks a lot in advance!
Best wishes,
Ivan
============
*Postdoc position in Luxembourg for June 2021 (deadline for submission of
application: March 1st)*
University of Luxembourg, campus Belval
Applications are invited for a postdoctoral fellowship in the field of
stochastic analysis at the University of Luxembourg.
The project is about Malliavin calculus, Stein's method, and related
topics, in a broad sense.
Areas of interest include stochastic analysis and its interplay with other
fields of mathematics (in particular, but not exclusively, functional
analysis and geometry).
The position is for 3 years (36 months).
The starting date is June 1st, 2021.
Applications, including a CV, a list of publications and a research
statement must be sent to Ivan Nourdin (ivan.nourdin(a)uni.lu)
Applicants should also arrange for two letters of recommendation to be sent
to the same address.
Applications will be evaluated first after *March1st*, and then on a
rolling basis until the position is filled.
Requests for further information about the position should be also sent to
the same address.
--
Prof. Giovanni Peccati
------------------------------------------
Head of the Department of Mathematics
Faculty of Science,
Technology and Medicine
------------------------------------------
University of Luxembourg
-----------------------------------------
homepage:
http://sites.google.com/site/giovannipeccati/Home
E-mail: giovanni.peccati(a)gmail.com
Ricevo e inoltro.
Saluti,
Massimiliano
------
Dr. Massimiliano Tamborrino
Assistant Professor
Department of Statistics
University of Warwick
https://warwick.ac.uk/tamborrino
--------------
PhD Stipends with EPOC
Three of the PhD stipends below are in statistics, with double degrees between Department of Mathematical Sciences, University of Copenhagen and Bielefeld University. For more information about EPOC and the application procedure see www.epoc-itn.eu<https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdsts.us5.…>
Job Opening: 15 doctoral fellowships in Marie Skłodowska-Curie Innovative Training Network: Economic Policy in Complex Environments (EPOC)
EPOC is looking for 15 highly motivated doctoral fellows to engage in cutting edge interdisciplinary research combined with a structured curriculum of training activities.
It aims at advancing the state-of-the-art and the applicability of computationally intensive methods for decision and policy analysis in economics. The focus is on challenges characterized by their dynamic and complex nature, in particular in the domains of climate change and innovation. Doctoral fellows will gain expertise and skills in data science, network theory, agent-based simulation, and economic modelling, and will apply these skills in their individual research projects. Selected candidates will enter a 36 months work contract with the recruiting university of their project. Doctoral fellows will spend at least one year at two EPOC partner universities and pursue a double degree. Research and training is carried out by the EPOC consortium consisting of seven leading European universities and ten partner organisations.
For more information about EPOC and the application procedure see
www.epoc-itn.eu<https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdsts.us5.…>
All applications have to be submitted through the webpage.
Planned start of the employment contract: Sep. 1, 2021
-----------------
Susanne Ditlevsen
Professor
Department of Mathematical Sciences
University of Copenhagen
Phone: +45 35 32 07 85
email: susanne(a)math.ku.dk<mailto:susanne@math.ku.dk>
URL: http://www.math.ku.dk/~susanne/
Universitetsparken 5
DK-2100 Copenhagen Ø, Denmark
-----------------------------
Buongiorno,
inoltro l'annuncio per Il OWPS di domani.
Grazie per l'attenzione
Alessandra
---------- Forwarded message ---------
Da: One World Probability <ow.probability(a)gmail.com>
Date: mer 20 gen 2021 alle ore 09:15
Subject: [owps] One World Probability Seminar Thursday January 21, 2021
To: <owps(a)lists.bath.ac.uk>
Tomorrow's speakers in the One World Probability Seminar are
(Note: all times are in UTC. *Due to time changes, you should check what
that translates to in your location*)
------------------------------------------------
(14:00-15:00 UTC) Speaker: Lorenzo Zambotti (Sorbonne Université)
Title: Some stochastic PDEs for the future
Abstract: We want to discuss some stochastic PDEs with distributional
non-linearities, driven by space-time white noise. These equations are
motivated for example by the scaling limits of critical pinning models. The
well-posedness of such stochastic PDEs is still an open problem, despite
the recent spectacular progresses in the field obtained by means of
regularity structures and paracontrolled calculus, the lack of a viable
stochastic calculus for SPDEs being a persistent major obstacle. A recent
result by Athreya-Butkovsky-Le-Mytnik gives new hope to solve this
long-standing problem.
(15:00-16:00 UTC) Francesco Caravenna (University of Milano-Bicocca)
Title: Hairer's Reconstruction Theorem without Regularity Structures
Abstract: We give a new self-contained and elementary proof of Martin
Hairer's Reconstruction Theorem, which is one of the cornerstones of his
theory of Regularity Structures. We present it as a general result in the
theory of distributions that can be understood without any knowledge of
Regularity Structures themselves, which we do not even need to define. We
will also discuss some applications of independent interest. (Based on
joint work https://arxiv.org/abs/2005.09287
<https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Farxiv.org…>
with Lorenzo Zambotti).
------------------------------------------------
The zoom link will appear the day before on the OWPS website:
https://www.owprobability.org/one-world-probability-seminar
<https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.owpro…>
It can also be directly accessed through the link below:
<http://goog_1741272511>
https://uniroma1.zoom.us/j/86530184507?pwd=N0cyVGw4MmIzR2dyV3JZeHhzZ2w5QT09
<https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Funiroma1.…>
Please feel free to circulate this email.
We hope to see you all tomorrow!
One World Probability Team
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*************************************************
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
*************************************************