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4-year postdoctoral position in "Modelling Collective Behaviour"
by Tiziano De Angelis 25 Oct '19

25 Oct '19

Dear All, I was asked to circulate the announcement below for a 4-year postdoctoral position in "Modelling Collective Behaviour". It might be of interest to candidates with a PhD in Statistics or Applied Maths, should you know any who is looking for a postdoc. https://jobs.leeds.ac.uk/Vacancy.aspx?ref=EPSMA1003 Best wishes Tiziano

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Seminario di probabilita' di Daniel Valesin (Groningen) a Roma Tre
by Alexandre Stauffer 24 Oct '19

24 Oct '19

SEMINARIO Probabilita' Daniel Valesin (University of Groningen) Titolo: On the threshold of spread-out contact process percolation Lunedi' 04 Novembre 2019 ORE 16:30 Dipartimento di Matematica e Fisica Universita' degli Studi Roma Tre Largo San Leonardo Murialdo,1 - Pal.C - Aula 211 Abstract We study the stationary distribution of the (spread-out) d-dimensional contact process from the point of view of site percolation. In this process, vertices of ^d can be healthy (state 0) or infected (state 1). With rate one infected individuals recover, and with rate lambda they transmit the infection to some other vertex chosen uniformly within a ball of radius R. The classical phase transition result for this process states that there is a critical value lambda_c(R) such that the process has a non-trivial stationary distribution if and only if lambda > lambda_c(R). In configurations sampled from this stationary distribution, we study nearest-neighbor site percolation of the set of infected sites; the associated percolation threshold is denoted lambda_p(R). We prove that lambda_p(R) converges to 1/(1-p_c) as R tends to infinity, where p_c is the threshold for Bernoulli site percolation on ^d. As a consequence, we prove that lambda_p(R) > lambda_c(R) for large enough R, answering an open question of [Liggett, Steif, AIHP, 2006] in the spread-out case. Joint work with Bala'zs Ra'th. Alexandre

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Fwd: Tenure track position in mathematics at EPFL
by Marco Romito 24 Oct '19

24 Oct '19

-------- Forwarded Message -------- Subject: Tenure track position in mathematics at EPFL Date: Wed, 23 Oct 2019 17:04:25 +0200 From: Robert Dalang <robert.dalang(a)epfl.ch> To: Robert Dalang <robert.dalang(a)epfl.ch> Dear Colleagues, The Ecole Polytechnique Fédérale de Lausanne (EPFL) is advertising a tenure-track assistant-professorship in mathematics. The fields of interest include PDEs and stochastic PDEs. EPFL is an equal opportunity employer and family friendly university. It is committed to increasing the diversity of its faculty. It strongly encourages women to apply. Could you please bring the announcement of the position (https://www.epfl.ch/about/working/mathematics/) to any strong candidates that you think might be interested? Sincerely, Robert Dalang.

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Mini corso di A. Stauffer a Roma Tre: Multi-scale analysis of reaction-diffusion particle systems
by Pietro Caputo 22 Oct '19

22 Oct '19

Speaker: Alexandre Stauffer (Roma Tre) Title: Multi-scale analysis of reaction-diffusion particle systems 6 Lectures: Monday, 25 November at 16:30 Tuesday, 26 November at 14:30 Monday, 2 December at 16:30 Tuesday, 3 December at 14:30 Monday, 9 December at 16:30 Tuesday, 10 December at 14:30 All lectures will be in Room 211 (2nd floor) at Department of Mathematics and Physics of Roma Tre Largo San Murialdo 1, Palazzina C For PhD students that want to take the course as part of their PhD coursework, the course will be completed by a reading part (to be discussed with the lecturer). Abstract: This course focus on the (microscopic) analysis of stochastic processes on particle systems. A few examples include spread of infection among moving particles, the frog model or stochastic combustion model, activated random walks, growth processes with competition, and branching random walk with interactions. A common feature of such models is that correlations do not decay exponentially fast, which brings serious challenges to the application of standard techniques of analysis, such as renormalization techniques and comparison with independent percolation. Recently, there has been very important progress in this field, with most new results employing a so-called multi-scale analysis to control the dependences in the model. Multi-scale analysis proved to be an extremely powerful technique; it has been employed in areas beyond particle system, one notable example being the study of random interlacements, where it has been playing a fundamental role. Despite its power, a multi-scale analysis can be quite involved to implement and can become very technical. In particular, it usually needs to be developed from scratch for each application as it needs to be tailored to each specific question being analyzed. The goal of this course is to explain the multi-scale analysis in a didactic and comprehensible way, demystifying this technique, and explaining its main aspects (the ones that are common to most applications) and the most common variations. In order to do this we will concentrate on one problem: the analysis of the spread of an infection among particles that move as independent simple random walks.

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PhD in Statistics & Computer Science - Univ. Bocconi
by Antonio Lijoi 21 Oct '19

21 Oct '19

Cari tutti, con preghiera di diffusione, inoltro l'annuncio relativo al bando (allegato) per l'ammissione al PhD in Statistics and Computer Science presso l'Università Bocconi, per l'a.a. 2020-2021. La scadenza per la presentazione delle domande è il 3 Febbario 2020. Saluti, AL *********************************************************** PhD in Statistics and Computer Science - a.y. 2020-2021 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<http://www.unibocconi.eu/admissionphd> for detailed information. ** Applications are due by February 3, 2020 ** 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. Highly qualified and motivated students with M.Sc. degrees 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<http://www.unibocconi.eu/phdstatscompscience> and feel free to contact: Antonio Lijoi (antonio.lijoi(a)unibocconi.it<mailto:antonio.lijoi@unibocconi.it>) Angela Baldassarre, PhD administrative assistant (angela.baldassarre(a)unibocconi.it<mailto:angela.baldassarre@unibocconi.it>) Antonio Lijoi Director, PhD program in Statistics and Computer Science Bocconi University http://mypage.unibocconi.it/antoniolijoi

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PhD position in TU Eindhoven
by Chiarini Alberto 21 Oct '19

21 Oct '19

Call for applications for a PhD position in TU Eindhoven (Netherlands) Applications are invited for a PhD position at TU Eindhoven (TU/e), under the supervision of Alberto Chiarini, who will be based at TU/e from January 2020 onwards. Chiarini's appointment at Eindhoven is part of a larger collaboration between the Analysis and Stochastics groups of the Department of Mathematics and Computer Science, and the PhD student will benefit from being embedded in both groups. The subject of the PhD project will be decided together with the student, and will be chosen from a range of topics on the interface between probability theory and analysis, including Gaussian free fields, particle systems, large deviations, and partial differential equations. Ideally, applicants have a sound training in probability theory (including stochastic processes and stochastic differential equations), analysis (including partial differential equations and functional analysis), and measure theory. Students with deficiencies in one of these areas but who are strong in others are nonetheless urged to apply. PhD positions at TU/e are salaried, fixed-term, four-year positions; the salary increases during the four years from approximately 30.000 to 50.000 euros, before tax. In addition, TU/e offers a wide range of secondary benefits. More information can be found by contacting Alberto Chiarini at chiarini(a)math.ucla.edu Applicants are encouraged to send their applications as early as possible; the position will be filled as soon as a suitable candidate is found. Personal webpage: https://www.math.ucla.edu/~chiarini/ Regards, UCLA Mathematics Department MS 6617F 520 Portola Plaza 90095 Los Angeles California, USA

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seminar announcement
by Marco Scarsini 18 Oct '19

18 Oct '19

Panayotis Mertikopoulos, CNRS Grenoble No-Regret Learning in Games Luiss Viale Romania, 32 Room 403 Friday 25 October, h 12:00 ******************************************************* Marco Scarsini Dipartimento di Economia e Finanza Luiss Viale Romania 32 00197 Roma, ITALY URL: http://docenti.luiss.it/scarsini/

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seminar announcement
by Marco Scarsini 18 Oct '19

18 Oct '19

Michele Salvi, Université Paris Diderot Scale-Free Percolation as a Model for the Cattle Trading Network in France Luiss Viale Romania, 32 Room 207, Thursday 24 October, h 12:00 ******************************************************* Marco Scarsini Dipartimento di Economia e Finanza Luiss Viale Romania 32 00197 Roma, ITALY URL: http://docenti.luiss.it/scarsini/

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First annoucement Energy Finance Italia EFI5: Rome, Februrary 10 - 11, 2020
by Tiziano Vargiolu 18 Oct '19

18 Oct '19

Dear All, we are glad to announce the fifth edition of the Energy Finance Italia Workshop - EFI5, which will be held in Rome, University of Roma Tre, next February 10-11, 2020. We will shortly be publishing the CfP with details on the website of the EFI Association http://energyfinanceitalia.unicam.it/ There you will find the information about the EFI Association and the previous editions of the workshop. Best regards Loretta Mastroeni Tiziano Vargiolu

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Seminar Cadonna @Bocconi
by Giacomo Zanella 18 Oct '19

18 Oct '19

We announce the following DEC Statistics seminar: Thursday, October 24 12:30 Meeting room 3-e4-sr03, Bocconi University, Via Roentgen 1, 3rd floor Annalisa Cadonna (Wirtschaftsuniversität Wien) Title: Hierarchical shrinkage in time-varying parameter models through the Triple Gamma prior Abstract: Time varying parameter (TVP) models are widely used in time series analysis, because of their flexibility and ability to capture gradual changes in the evolution dynamics of the model variables. The popularity of TVP state-space models in macroeconomics and finance is based on the evidence that, in most applications, the influence of certain predictors on the outcome variables varies over time. The risk of overfitting in TVP models is a well know issue, which increases with the dimension of the problem at hand, as only a small subset of the predictors might actually have a dynamic influence on the output variables. Hence, in the last decade, there has been a growing need for models and methods able to discriminate between time varying and static parameters in TVP models or, in other words, perform variance selection. We propose a new global local shrinkage prior for shrinkage of variances in TVP models, referred to as the Triple Gamma prior. The Triple Gamma prior extends to variance selection the Normal-Gamma-Gamma prior introduced in Griffin and Brown (2017) in the context of highly structured regression models. The Triple Gamma prior accommodates, as special or limit cases, the Bayesian Lasso, the Double Gamma prior, and the popular Horseshoe prior. Interesting properties of the triple gamma prior are outlined and an efficient Markov Chain Monte Carlo algorithm is developed. An extended simulation study is conducted and the proposed modeling approach is applied to real data, both in a univariate and a multivariate framework. The predictive performance of different shrinkage priors is compared in terms of log predictive density scores. 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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