Ricevo e inoltro.
> Da: malongob(a)unina.it
>
> Dear colleagues,
>
> We are writing to keep you updated on the news regarding the 14th International Conference on Ordered Statistical Data - OSD2020, which will take place at Vietri sul Mare (SA), Italy, May 26th - 29th, 2020.
>
> The instructions for registration and abstract submission are now available on the web page of the conference. To register please visit the conference webpage (http:www.osd2020.unina.it) …
[View More]then click on the ?Registration? tab. If you are going to give a talk or to present a poster, please click on the ?Authors? tab for getting instructions on how to prepare and submit the abstract of your contribution.
>
> The deadline for early registration is April 1st and deadline for submissions of abstracts is February 15th, 2020.
>
> If you have any questions, do not hesitate to ask us by sending an e-mail to osd2020(a)unina.it.
>
> We are looking forward to seeing you in Vietri sul Mare,
>
> On the behalf of the Organizing Committee,
> Maria Longobardi
>
> Maria Longobardi
> E-mail: maria.longobardi(a)unina.it
> Dipartimento di Matematica e Applicazioni "R. Caccioppoli"
> Universita' degli Studi di Napoli FEDERICO II
> Via Cintia - 80126 Napoli - Italy
> Studio 114 - V livello
> Tel. +39 081 675620
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Speaker: Antonio Blanca (Penn State University)
Titolo: Lower bounds for testing spin systems
Giovedi' 24 Ottobre 2019 ORE 10:00
Dipartimento di Matematica e Fisica
Universita' degli Studi Roma Tre
Largo San Leonardo Murialdo,1 - Pal.C - Aula 211
Abstract
We study the identity testing problem in the context of spin systems
where it takes the following form: given the parameter specification
of the model M and a sampling oracle for the distribution μ of an
unknown model M*, can we …
[View More]efficiently determine if the two models M and
M* are the same? We establish hardness results for this problem for
two prototypical spin systems: the Ising model and proper colorings.
For the ferromagnetic (attractive) Ising model, Daskalakis et al.
(2018) presented a polynomial-time algorithm for identity testing. I
will present a hardness result for the antiferromagnetic (repulsive)
setting. In our proofs, we use random graphs as gadgets; this is
inspired by similar constructions in seminal works on the hardness of
approximate counting. The results for proper colorings are based on
the presumed hardness of #BIS, the problem of (approximately) counting
independent sets in bipartite graphs. Based on joint work with Ivona
Bezakova, Zongchen Chen, Daniel Stefankovic and Eric Vigoda
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SEMINARI DI PROBABILITA' E STATISTICA MATEMATICA
DIPARTIMENTO DI MATEMATICA "G. PEANO"
UNIVERSITA' DEGLI STUDI DI TORINO
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Martedì 17 Aprile 2018 alle ore 15:00 in Aula Marro presso il
Dipartimento di
Matematica "G. Peano" dell'Università degli Studi di Torino, Via Carlo
Alberto 10,
Il Prof. *VASSILI KOLOKOLTSOV*
terrà un seminario dal titolo
*Recent …
[View More]developments in probabilistic and analytic methods for
fractional differential equations
*
Abstract:
We shall discuss recent achievements in solving fractional differential
equations and their extensions arising from generalized fractional
calculus. Probabilistic techniques will be derived from the notion of
Markov processes interrupted on the attempt to cross the boundary.
Analytic techniques will cover generalized operator-valued
Mittag-Leffler functions and chronological Feynman-Kac formulas.
Tutti gli interessati sono invitati a partecipare.
--
Dr. Cristina Zucca
Department of Mathematics
University of Torino
Via Carlo Alberto 10
10123 Torino, Italy
tel: +39-011-6702850
fax: +39-011-6702878
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---------- Forwarded message ----------
Date: Mon, 14 Oct 2019 07:53:54 +0200
From: ancona(a)math.unipd.it
To: users(a)math.unipd.it
Subject: Announcement -- Half day in Stochastic Analysis and applications
Dear Colleagues,
it is our great pleasure to announce at our Department the *workshop*
*** Half day in Stochastic Analysis and applications ***
WHEN: Wednesday 30 October 2019, starting at 10:30
WHERE: Aula 1C150, Torre Archimede, via Trieste 61, Padova
*** SCHEDULE: ***
10.30: Terry …
[View More]Lyons (Oxford)
11.05: Franco Flandoli (SNS Pisa)
11.40: Francesco Caravenna (Milano Bicocca)
12.15: Franco Rampazzo (Padova)
Please find more details below in attachment.
Looking forward to your participation,
Fabio Ancona, Paolo Dai Pra, Franco Rampazzo
----------------------------------------------------------------
*** Half day in Stochastic Analysis and applications ***
Wed. 30 Oct. 2019, Aula 1C150
Maths Department, via Trieste 63, Padova
----------------
*** Special Guest: TERRY LYONS (Oxford) ***
*** Opening the workshop at 10:30 ***
----------------
*** Speaker: FRANCO FLANDOLI (SNS Pisa)***
*** Seminar at 11:05 ***
*** Title: Effect of transport noise on PDEs ***
*** Abstract ***
Linear PDEs of transport type are regularized by the addition of an extra
transport term of stochastic type; this is a phenomenon discovered around 2010
and consolidated by different techniques and on different examples. However,
the effect on nonlinear PDEs is much less clear. Two results for point vortex
solutions and point charge solutions of 2D Euler equations and 1D
Vlasov-Poisson equations respectively, indicate that a rich noise has to be
considered, opposite to the linear case where a simple space-independent noise
suffices to regularize. Some confirmations that such rich noise may have
regularizing properties on nonlinear models came for Leray alpha model and
dyadic models of turbulence. We now have new insight in the case of 2D Euler
equations and 3D Navier-Stokes equations, that will be explained in the talk.
The results mentioned above, the classical and the new ones, have been obtained
by several authors including Gubinelli, Priola, Barbato, Galeati, Luo and
myself.
----------------
*** Speaker: FRANCESCO CARAVENNA (Milano Bicocca) ***
*** Seminar at 11:40 ***
*** Title: On the two-dimensional KPZ equation ***
*** Abstract: ***
We consider the Kardar-Parisi-Zhang (KPZ) equation in two space dimensions,
driven by space-time white noise. This is a singular PDE which lacks a solution
theory, so it is standard to consider a regularized version of the equation and
then to investigate the behavior of the solution when the regularization is
removed. We first show that the regularized solution undergoes a phase
transition, as the noise strength is varied on a logarithmic scale. Then, in
the sub-critical regime, we prove convergence (after centering and rescaling)
to an explicit well-posed random PDE, the additive Stochastic Heat Equation,
with a non-trivial constant on the noise. Based on joint works with Rongfeng
Sun and Nikos Zygouras.
----------------
*** Speaker: FRANCO RAMPAZZO (Padova) ***
*** Seminar at 12:15 ***
*** Title: Limit solutions for control-affine nonlinear systems of ode's ***
*** Abstract: ***
The aim of this talk, which is fully devoted to deterministic input-output
systems, is to present the extremely weak notion of 'limit solution', that
might be (or might be not) of interest also for whom is more interested in
Stochastic Analysis. For a nonlinear (deterministic) control system with a
given initial condition and with a dynamics which is affine in the control
variable, a 'limit solution' verifies the following properties:
i) it is pointwise defined for an input which is (formally) the derivative of
a Lebesgue integrable function;
ii) in the commutative case (i.e. when all Lie brackets of the involved vector
field vanish identically) the limit solution coincides with the solution one
can obtain via a (existing) change of coordinates which makes all vector
fields constant;
iii) the notion of limit solution subsumes former concepts of solution valid
for the generic, non-commutative case. In particular, when the control is the
derivative of a bounded variation path, a quite clear relation is established
between limit solutions and so-called 'graph completion' solutions.
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---------- Forwarded message ----------
From: eric.moulines(a)polytechnique.edu
Date: 12 Oct 2019 at 09:33 +0200
To: 'Julyan Arbel' <julyan.arbel(a)inria.fr>
Subject: TR: offre de post-doc
> As a consequence of its recent funding by the Agence Nationale de la Recherche (ANR), the ABSint research group is recruiting a post-doctoral collaborator for up to 21 months. The accronym ABSint stands for Approximate Bayesian solutions for inference on large …
[View More]datasets and complex models. The project involves researchers in Paris, Saclay, Montpellier, Lyon and Nice. This second call seeks candidates with an excellent research record interested to collaborate more closely with members on the ABSint team located in Saclay, at institutions such as Institut Polytechnique de Paris (e.g. Nicolas Chopin and Eric Moulines), Université Paris Saclay, on any topic (broadly) relevant to ABSint and to these researchers' interests.
> Applications can be submitted in either English or French.
> The candidate must obtain a PhD degree by the date of application.
> Good working knowledge of English is required.
> Estimated salary is around 2500 EUR with taxes, depending on experience since PhD.
> Position opened December 1, 2019, with possible accommodation for later start.
> Call opened until position filled.
> Candidates should contact Nicolas Chopin (mail address: nicolas.chopin(a)ensae.fr) with a vita and a motivation letter. Letters of recommendation can also be sent to the same address.
>
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STATISTICS SEMINARS @ COLLEGIO CARLO ALBERTO
Venerdì 18 Ottobre 2019, alle ore 12:00, presso il nuovo edificio del Collegio Carlo Alberto, in Piazza Arbarello 8, Torino, si terrà il seguente seminario:
------------------------------------------------
Mark PODOLSKIJ (Aarhus University)
OPTIMAL ESTIMATION OF CERTAIN RANDOM QUANTITIES ASSOCIATED WITH LEVY PROCESSES
In this talk we present new ideas on optimality of statistical estimates of certain random quantities of stochastic processes, …
[View More]such as supremum or local times. Despite the existing results on estimation of such objects through high frequency observations, the question of optimality is rarely discussed. We will demonstrate some optimal estimation methods for the supremum and local times of the Brownian motion in the L2 and L1 sense. In the second part of the talk we will investigate how the main ideas can be extended towards the class of Levy processes and continuous diffusion models. (joint work with J. Ivanovs)
------------------------------------------------
Tutti gli interessati sono invitati a partecipare.
Il seminario è organizzato dalla "de Castro" Statistics Initiative (www.carloalberto.org/stats <http://www.carloalberto.org/stats>) in collaborazione con il Collegio Carlo Alberto.
Cordiali saluti,
Pierpaolo De Blasi
---
Pierpaolo De Blasi
University of Torino & Collegio Carlo Alberto
https://sites.google.com/a/carloalberto.org/pdeblasi/
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SEMINARI DI PROBABILITÀ E STATISTICA MATEMATICA
DIPARTIMENTO DI MATEMATICA "G. PEANO"
UNIVERSITÀ DEGLI STUDI DI TORINO
*********************************************************************
Martedì 15 Ottobre 2019 alle ore 16:30 in Sala S presso il Dipartimento di
Matematica "G. Peano" dell'Università degli Studi di Torino, Via Carlo
Alberto 10,
Il Prof. *Enrico Scalas* (Department of Mathematics – University of Sussex,
UK)
…
[View More]terrà un seminario dal titolo
*Functional and Thermodynamic Limits of a Simple Coagulation-Fragmentation
Markov Chain*
Abstract:
We discuss a simple random exchange model for the distribution of wealth.
There are N agents, each one endowed with a fraction of the total wealth;
indebtedness is not possible, so wealth fractions are positive random
variables. At each step, two agent are randomly selected, their wealths are
first merged (coagulation) and then randomly split into two parts
(fragmentation) conserving the total wealth. We start from a discrete state
space - discrete time version of this model and, under suitable scaling, we
present its functional convergence to a continuous space - discrete time
model. Then, we discuss how a continuous-time version of the one-point
marginal Markov chain functionally converges to a kinetic equation of
Boltzmann type. Solutions to this equation are presented and they coincide
with the appropriate limits of the invariant measure for the marginal
Markov chain. In this way, in this simple case, we complete Boltzmann’s
program of deriving kinetic equations from random dynamics.
Joint work with: Bertram Duering, Nicos Georgiou, Sara Merino Aceituno
Tutti gli interessati sono invitati a partecipare.
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Martedi' 15 Ottobre 2019 ORE 14:30
Dipartimento di Matematica e Fisica
Universita' degli Studi Roma Tre
Largo San Leonardo Murialdo,1 - Pal.C - Aula 211
Speaker: Jonathan Hermon
Titolo: Anchored expansion in supercritical percolation on nonamenable
graphs.
Abstract:
Let G be a transitive nonamenable graph, and consider
supercritical Bernoulli bond percolation on G. We prove that the
probability that the origin lies in a finite cluster of size n
decays exponentially in n. We deduce that:
…
[View More]1. Every infinite cluster has anchored expansion (a relaxation of
having positive Cheeger constant), and so is nonamenable in some weak
sense. This answers positively a question of Benjamini, Lyons, and
Schramm (1997).
2. Various observables, including the percolation probability and the
truncated susceptibility (which was not even known to be finite!)
are analytic functions of p throughout the entire supercritical phase.
3. A RW on an infinite cluster returns to the origin at time 2n with
probability exp(-Theta(n^{1/3})).
Joint work with Tom Hutchcroft.
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We announce the following DEC Statistics seminar:
Thursday, October 10
12:30 Meeting room 3-e4-sr03,
Bocconi University, Via Roentgen 1, 3rd floor
Fabrizia Mealli (University of Florence)
Title: Assessing causal effects in the presence of treatment switching through principal stratification
Abstract: consider clinical trials focusing on survival outcomes for patients suffering from Acquired Immune Deficiency Syndrome (AIDS)-related illnesses or particularly painful cancers in advanced …
[View More]stages. These trials often allow patients in the control arm to switch to the treatment arm if their physical conditions are worse than certain tolerance levels. The Intention-To-Treat analysis compares groups formed by randomization regardless of the treatment actually received. Although it provides valid causal estimates of the effect of assignment, it does not measure the effect of the actual receipt of the treatment and ignores the information of treatment switching in the control group. Other existing methods propose to reconstruct the outcome a unit would have had if s/he had not switched. But these methods usually rely on strong assumptions, for example, there exists no relation between patient's prognosis and switching behavior, or the treatment effect is constant. Clearly, the switching status of the units in the control group contains important post-treatment information, which is useful to characterize the treatment effect heterogeneity. We propose to re-define the problem of treatment switching using principal stratification and introduce new causal estimands, principal causal effects for patients belonging to subpopulations defined by the switching behavior under control. For statistical inference, we use a Bayesian approach to take into account that (i) switching happens in continuous time generating infinitely many principal strata; (ii) switching time is not defined for units who never switch in a particular experiment; and (iii) survival time and switching time are subject to censoring. We illustrate our framework using a synthetic dataset based on the Concorde study, a randomized controlled trial aimed to assess causal effects on time to-disease progression or death of immediate versus deferred treatment with zidovudine among patients with asymptomatic HIV infection.
Joint work with Alessandra Mattei and Peng Ding
Kind regards,
Giacomo Zanella
The DEC statistics seminars schedule is available at http://www.unibocconi.eu/statseminar
Please note: if you are a guest and you do not have a Bocconi ID Card to access to the Bocconi Buildings, please communicate your participation by sending an email to arianna.colombo(a)unibocconi.it
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