inoltro per problemi tecnici
grazie
alessandra
---------- Forwarded message ---------
Da: One World Probability <ow.probability(a)gmail.com>
Date: gio 28 gen 2021 alle ore 15:03
Subject: Re: [owps] One World Probability Seminar Thursday January 28, 2021
To: <owps(a)lists.bath.ac.uk>
Dear All,
If you have trouble joining the meeting using the zoom link below, please
try using the link on the website.
We apologise for any problems.
Amanda and Alessandra
On Wed, Jan 27, 2021 at 8:26 AM One World Probability <
ow.probability(a)gmail.com> wrote:
> 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: Cristina Toninelli (Université Paris Dauphine)
> Title: Universality results for interacting particle systems with
> dynamical constraints
> Abstract: We introduce the kinetically constrained models (KCM), a class
> of interacting particle systems with a simple spin flip dynamics subject to
> local dynamical constraints. Each vertex is resampled (independently) at
> rate one by tossing a (1-q)-coin iff a certain neighbourhood of the vertex
> contains no particles. In other words, the holes (empty vertices) act as
> facilitating sites. When q shrinks to 0, the presence of the constraints
> gives rise to glassy dynamics, in particular to an anomalous divergence of
> the characteristic time scales. Thus, KCM are extensively used in physics
> literature to model the liquid-glass transition, a longstanding open
> problem in condensed matter physics.
>
> We focus on the behavior of E(T_0), the mean over the stationary process
> of the first time at which the origin becomes empty. Our results establish
> the universality classes of KCM in two dimensions: we group all possible
> constraints into distinct classes with all models in a class featuring the
> same divergence for E(T_0) as q->0. Within each class, we present an
> efficient relaxation mechanism that involves the cooperative motion of
> large rare patches of empty sites and we use it to determine matching upper
> and lower bounds for E(T_0).
>
> Joint work with L.Marêché, I.Hartarsky, F.Martinelli and R.Morris
>
> (15:00-16:00 UTC) Fabio Martinelli (Università Roma Tre)
> Title: Sharp threshold for the FA-2f kinetically constrained model
> Abstract:
> The Fredrickson-Andersen 2-spin facilitated model (FA-2f) on the
> d-dimensional lattice, d ≥ 2, is a paradigmatic interacting particle system
> with kinetic constraints (KCM) featuring "dynamical facilitation", an
> important mechanism in condensed matter physics. In FA-2f a site may change
> its state only if at least two of its nearest neighbors are empty. The
> process, while reversible w.r.t. a product Bernoulli measure, has
> degenerate jumps rates and it is non-attractive, with an anomalous
> divergence of characteristic time scales as the density q of the empty
> sites tends to zero. A natural random variable encoding the above features
> is the first time T at which the origin becomes empty for the stationary
> process. Our main result is the sharp threshold T ≍ Exp[ d
> λ(d,2)/q^(1/(d-1)) ] w.h.p. as q → 0, with λ(d,2) the threshold constant
> for the 2-neighbor bootstrap percolation, the monotone deterministic
> cellular automaton counterpart of FA-2f. This is the first sharp result for
> a critical KCM. Besides settling various controversies accumulated in the
> physics literature over the last four decades, our novel techniques enable
> completing the recent ambitious program on the universality phenomenon for
> critical KCM and establishing sharp thresholds for other two-dimensional
> KCM.
>
> Joint work with I. Hartarski and C. Toninelli
>
> ------------------------------------------------
>
> 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:
> https://uniroma1.zoom.us/j/83154591101?pwd=dkZyekxwa1Z1b2w2bW5SOWY3L21Xdz09
> <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
>
--
*************************************************
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 all,
The approximate Bayesian computation (ABC) conference is planned to be held in Svalbard on 12-13 April, 2021, in a hybrid way: on top to the on-site meeting, there will be two physical mirrors (one in Brisbane and one in Grenoble), and all talks will be live-streamed.
If you wish to participate to the virtual event, stay tuned for further information on: https://sites.google.com/view/abcinsvalbard/home
If you consider participating to Grenoble mirror (free of charge), please fill the form here: https://sites.google.com/view/abcinsvalbard-grenoble-mirror/ in order to receive further notice about the organisation.
Best,
Julyan Arbel and Christian Robert
Dear Colleagues,
We would like to invite you to the following Probability seminar
that will take place on February 05 at 14.30 by the zoom platform.
________________________________________________________
Speaker: Michele Salvi (Università di Roma Tor Vergata)
Title: Scale-free percolation in continuous space
05 FEBRUARY (Friday) - 14:30 zoom link: TBA
(available on the webpage https://www.math.unipd.it/~bianchi/seminari/ )
Abstract: The scale-free percolation random graph features three
fundamental
properties that are often present in large real-world structures
(social networks, communication networks, inter-banking systems and so
on), but which are never present at once in classical models: (1)
Scale-free: the degree of the nodes follows a power law; (2)
Small-world: two nodes are typically at a very small graph distance;
(3) Positive clustering coefficient: two nodes with a common neighbour
have a good chance to be linked. We study a continuous version of
scale-free percolation and its possible application to the statistical
analysis of a dataset provided by the French Ministry of Agriculture.
We discuss some stochastic processes (random walks and particle
systems) on these kinds of structures with the final goal of
understanding how an epidemic would spread.
--
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/
Buongiorno,
vi inoltro l'annuncio del OWPS di domani.
Saluti
Alessandra
---------- Forwarded message ---------
Da: One World Probability <ow.probability(a)gmail.com>
Date: mer 27 gen 2021 alle ore 09:28
Subject: [owps] One World Probability Seminar Thursday January 28, 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: Cristina Toninelli (Université Paris Dauphine)
Title: Universality results for interacting particle systems with
dynamical constraints
Abstract: We introduce the kinetically constrained models (KCM), a class of
interacting particle systems with a simple spin flip dynamics subject to
local dynamical constraints. Each vertex is resampled (independently) at
rate one by tossing a (1-q)-coin iff a certain neighbourhood of the vertex
contains no particles. In other words, the holes (empty vertices) act as
facilitating sites. When q shrinks to 0, the presence of the constraints
gives rise to glassy dynamics, in particular to an anomalous divergence of
the characteristic time scales. Thus, KCM are extensively used in physics
literature to model the liquid-glass transition, a longstanding open
problem in condensed matter physics.
We focus on the behavior of E(T_0), the mean over the stationary process of
the first time at which the origin becomes empty. Our results establish the
universality classes of KCM in two dimensions: we group all possible
constraints into distinct classes with all models in a class featuring the
same divergence for E(T_0) as q->0. Within each class, we present an
efficient relaxation mechanism that involves the cooperative motion of
large rare patches of empty sites and we use it to determine matching upper
and lower bounds for E(T_0).
Joint work with L.Marêché, I.Hartarsky, F.Martinelli and R.Morris
(15:00-16:00 UTC) Fabio Martinelli (Università Roma Tre)
Title: Sharp threshold for the FA-2f kinetically constrained model
Abstract:
The Fredrickson-Andersen 2-spin facilitated model (FA-2f) on the
d-dimensional lattice, d ≥ 2, is a paradigmatic interacting particle system
with kinetic constraints (KCM) featuring "dynamical facilitation", an
important mechanism in condensed matter physics. In FA-2f a site may change
its state only if at least two of its nearest neighbors are empty. The
process, while reversible w.r.t. a product Bernoulli measure, has
degenerate jumps rates and it is non-attractive, with an anomalous
divergence of characteristic time scales as the density q of the empty
sites tends to zero. A natural random variable encoding the above features
is the first time T at which the origin becomes empty for the stationary
process. Our main result is the sharp threshold T ≍ Exp[ d
λ(d,2)/q^(1/(d-1)) ] w.h.p. as q → 0, with λ(d,2) the threshold constant
for the 2-neighbor bootstrap percolation, the monotone deterministic
cellular automaton counterpart of FA-2f. This is the first sharp result for
a critical KCM. Besides settling various controversies accumulated in the
physics literature over the last four decades, our novel techniques enable
completing the recent ambitious program on the universality phenomenon for
critical KCM and establishing sharp thresholds for other two-dimensional
KCM.
Joint work with I. Hartarski and C. Toninelli
------------------------------------------------
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:
https://uniroma1.zoom.us/j/83154591101?pwd=dkZyekxwa1Z1b2w2bW5SOWY3L21Xdz09
<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
--
*************************************************
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
*************************************************
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
--
@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@
Domenico Marinucci
Dipartimento di Matematica
Università di Roma Tor Vergata
https://www.mat.uniroma2.it/~marinucc/
@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@
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
-------------------------------------------------------------------------
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)