Random

random@lists.dm.unipi.it

5 participants
5327 discussions

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.

1 0

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.

1 0

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

1 0

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

1 0

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/

1 0

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/

1 0

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

1 0

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

1 0

MAF 2020 - 9th International Conference MATHEMATICAL AND STATISTICAL METHODS FOR ACTUARIAL SCIENCES AND FINANCE
by Marco Corazza 18 Oct '19

18 Oct '19

*SECOND CALL FOR CONTRIBUTIONS* *MAF 2020 - 9th International Conference MATHEMATICAL AND STATISTICAL METHODS FOR ACTUARIAL SCIENCES AND FINANCE* *April 15-17, 2020 - Geneve (CH)* *https://www.unige.ch/maf2020/ <https://www.unige.ch/maf2020/>* * The Steering Committee is delighted to announce the 9th International Conference *MAF 2020*. * *MAF 2020* promotes interaction between *mathematicians* and *statisticians* in *actuarial sciences* and *finance*. * *MAF 2020* is open to *academicians* and to *professionals*, to encourage cooperation. * *MAF 2020* covers a *wide variety of subjects* in actuarial science and financial fields. * *MAF 2020* will be held at the *Université de Genève*, in *April 15-17*, *2020*. * *We invite submission of original contributions*. * *Important dates*: - Submission of 1-page abstracts: by November 22nd, 2019. - Notification of 1-page abstract acceptance: by December 13th, 2019. - Organized session proposals: by October 25th, 2019. - Notification of organized session acceptance: by November 8th, 2019. - Submission of short papers (facultative): by December 13th, 2019. - Notification of short paper acceptance: by December 30th, 2019. - Early bird registration: by December 20th, 2019. *The accepted short papers, at least 4 pages and at most 6 pages, will be included in a Springer Volume. * *Keynote speakers* - *Michael O'Neill*, Centre for Business Analytics, University College Dublin; - *Jaap Spronk*, Erasmus School of Economics (NEH) & Rotterdam School of Management - *Howell Tong*, London School of Economics and Political Science Apologies for cross-posting. The warmest regards, Marco CORAZZA | Ca'Foscari University of Venice (I) [Behalf of the Steering Committee] Manfred GILLI | University of Geneve (CH) Cira PERNA | University of Salerno (I) Claudio PIZZI | Ca'Foscari University of Venice (I) Marilena SIBILLO | University of Salerno (I) -- Nota automatica aggiunta dal sistema di posta.

1 0

postdoc opportunity in Bern
by Fabio Bellini 16 Oct '19

16 Oct '19

A postdoc search from Johanna Ziegel (University of Bern): The Institute of Mathematical Statistics and Actuarial Sciences invites applications for the following position opening February 1, 2020. POSTDOC (80-100%) Oeschger Centre, University of Bern Compound weather and climate events refer to multiple climate events that potentially cause large societal impacts. The analysis and prediction of compound events pose substantial challenges from a statistical perspective. The prospective PostDoc will work at the interface of the development of statistical methods and their application to current topics of high interest in climate and weather applications. Potential topics include the evaluation of predictions for (joint) extreme events, the evaluation of multivariate or spatial predictions, and the calibration (or ``bias-correction'') of multivariate predictions. The PostDoc will be a part of the group of Prof. Dr. Johanna F. Ziegel (Institute of Mathematical Statistics and Actuarial Science). Close collaboration is planned with the group of Dr. Jakob Zscheischler (Physics Institute), and with the group of Prof. Dr. Olivia Romppainen-Martius (Institute of Geography). The position is ideally suited for a young researcher in statistics to become an expert in statistics for climate science and weather applications. Profile of the candidate The successful candidate holds a PhD in Statistics and has a strong interest in climate and weather applications, or he/she holds a PhD in Climate Science with a solid background in statistics. She/he has excellent programming and data handling skills, and a keen interest in interdisciplinary research. The candidate is proficient in English, both written and spoken. Details - Type of appointment: Full time or part time (80-100%) fixed term appointment for 2 years with the possibility of a 1 year extension after a positive evaluation. - Starting date: February 1, 2020 or upon agreement - Employment conditions and remuneration in accordance with the standards of the University of Bern, Switzerland. For further information please contact Prof. Dr. Johanna F. Ziegel ( johanna.ziegel(a)stat.unibe.ch). Applications All applications received before January 1, 2020 will be reviewed, and further applications will be considered until the position is filled. Please send your application documents including a CV, a motivation letter, and contact information for 3 references by e-mail to office(a)stat.unibe.ch. Homepage http://www.oeschger.unibe.ch/ http://www.stat.unibe.ch

1 0

Jump to page:

2025

2024

2023

2022

2021

2020

2019

2018

2017

2016

2015

2014

2013

Random