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call for contributions to the Second Italian Meeting on Probability and Mathematical Statistics
by Antonio DI CRESCENZO 21 Dec '18

21 Dec '18

Dear Colleagues, we are pleased to invite you to submit a contribution to the Second Italian Meeting on Probability and Mathematical Statistics (Vietri sul Mare (SA), Italy, June 17th-20th, 2019) Web site: http://www.salerno2019.dipmat.unisa.it Invited Speakers: - Stefano Maria Iacus, University of Milano - Giovanni Peccati, Luxembourg University - Cristina Toninelli, Université Paris Dauphine - Lorenzo Zambotti, Sorbonne Université Contributions to the Meeting are given by oral presentations or posters. The official language is English. Each oral presentation has a 30-minute time slot, including 5 minutes for questions. The abstracts of all contributions are due before March 15, 2019, according to the instructions given at http://www.salerno2019.dipmat.unisa.it/authors.html Oral presentations will be arranged in Contributed Sessions and Organized Sessions. - Contributed Sessions Oral presentations will be arranged in Contributed Sessions by the Scientific Committee on the basis of common topic of interest. - Organized Sessions An Organized Session is a block of 3 presentations given by speakers invited by one or more organizers. Organized Session proposals are submitted by the organizer(s) to the Scientific Committee by email to salerno2019(a)unisa.it within March 10, 2019. Required information: title of the Session, name of the speakers, title of each contribution. Participants are encouraged to submit their proposals or Organized Sessions on a wide range of theoretical and applied topics in Probability and Mathematical Statistics. See the following non-exhaustive list: Algebraic Statistics, Bayesian Nonparametrics, Dependence Modeling, Foundations of Probability, Fractional Stochastic Dynamics, Game-Theoretical Probability, High Dimensional Data Analysis, Information and Stochastic Geometry, Insurance Mathematics, Interacting Particle Systems, Mathematical Ecology, Measure Valued Processes, Optimal Transport and its Applications in Probability, Quantum Probability, Random Fields, Risk Analysis and Reliability, Simulation in Probability and Statistics, Statistical Inference, Stochastic Differential Equations, Stochastic Dynamics in Statistical Physics, Stochastic Financial Markets, Stochastic Models in Biology and Medicine, Stochastic Processes and Applications, Stochastic Networks and Queueing, Teaching Probability and Mathematical Statistics, Uncertainty Quantification. Proposals of Organized Sessions from young researchers will be highly welcome. We look forward meeting you soon. The Scientific Committee Claudia Ceci, Paolo Dai Pra, Antonio Di Crescenzo, Franco Fagnola, Franco Flandoli, Antonio Lijoi, Andrea Pascucci, Franco Pellerey, Laura Sacerdote The Local Organizing Committee Giacomo Ascione, Aniello Buonocore, Camilla Calì, Luigia Caputo, Antonio Di Crescenzo, Maria Longobardi, Barbara Martinucci, Alessandra Meoli, Luca Paolillo, Paola Paraggio, Enrica Pirozzi, Fabio Travaglino

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Two positions in Data Science at Luxembourg University
by Giovanni Peccati 21 Dec '18

21 Dec '18

Dear Colleagues, The University of Luxembourg currently has two open professor positions in the area of Data Science. (1) A full professor position in Mathematical Statistics and Data Science, within the Mathematics Research Unit, funded by for the first 5 years by a grant from the ERA-chair program of the European Union. This position is attractive by European standards in terms of research support (2 postdocs and 2 PhD positions attached and access to external funding). The person hired will be expected to start a new direction of research in Mathematical Statistics at the University of Luxembourg. Informations and instructions on how to apply: http://emea3.mrted.ly/1w64s The deadline for application is Jan 1, 2019. (2) A tenure-track Associate professor position in Machine Learning, within the Computer Science and Communication Research Unit. This is an Associate professor position, with evaluation after 5 years for promotion to full professor. Informations and instructions on how to apply: http://emea3.mrted.ly/218v0 The deadline for application is Jan 31, 2019. Both positions are highly attractive in terms of salary, funding opportunities, etc. With my best regards, Giovanni Peccati -- Prof. Giovanni Peccati ------------------------------------------ UR en Mathématiques Faculté des Sciences, de la Technologie et de la Communication ------------------------------------------ Université du Luxembourg ----------------------------------------- homepage: http://sites.google.com/site/giovannipeccati/Home E-mail: giovanni.peccati(a)gmail.com

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Workshop "New Frontiers in Stochastics for Economics and Finance" - University of Siena - May 30-June 01, 2019
by Giorgio Ferrari 20 Dec '18

20 Dec '18

Dear All, we are happy to announce the Workshop *"New Frontiers in Stochastics for Economics and Finance"* to be held at the Department of Economics and Statistics of the University of Siena on *May 30-June 01, 2019* https://sites.google.com/view/workshop-bisi2019/home The workshop is thought as a forum for discussing new developments concerning stochastic methods and models arising in economics, finance, and game theory. Our invited speakers are: *René Aïd (Univ. Paris Dauphine) <https://www.google.com/url?q=https%3A%2F%2Fwww.dauphine.fr%2Fen%2Fresearch%…>* *Luciano Campi (LSE London) <https://www.google.com/url?q=https%3A%2F%2Fsites.google.com%2Fsite%2Flucian…>* *Claudia Ceci (Univ. Chieti-Pescara) <https://www.google.com/url?q=https%3A%2F%2Feconomia.unich.it%2Fvisualizza.p…>* *Patrick Cheridito (ETH Zurich) <https://www.google.com/url?q=https%3A%2F%2Fpeople.math.ethz.ch%2F~patrickc%…>* *Claudio Fontana (Univ. Padova) <https://www.google.com/url?q=https%3A%2F%2Fsites.google.com%2Fsite%2Ffontan…>* *Marco Frittelli (Univ. degli Studi di Milano) <http://www.google.com/url?q=http%3A%2F%2Fwww.mat.unimi.it%2Fusers%2Ffrittel…>* *Fausto Gozzi (LUISS University of Rome) <http://www.google.com/url?q=http%3A%2F%2Fdocenti.luiss.it%2Fgozzi%2F&sa=D&s…>* *Ioannis Karatzas (Columbia University) <http://www.google.com/url?q=http%3A%2F%2Fwww.math.columbia.edu%2F~ik%2F&sa=…>* *Kostas Kardaras (LSE London) <http://www.google.com/url?q=http%3A%2F%2Fstats.lse.ac.uk%2Fkardaras%2F&sa=D…>* *Michael Kupper (Univ. Konstanz) <https://www.google.com/url?q=https%3A%2F%2Fwww.mathematik.uni-konstanz.de%2…>* *Huyen Pham (Univ. Paris 7) <https://www.google.com/url?q=https%3A%2F%2Fsites.google.com%2Fsite%2Fphamxu…>* *Frank Seifried (Univ. Trier) <https://www.google.com/url?q=https%3A%2F%2Fsites.google.com%2Fsite%2Fseifri…>* *Peter Tankov (ENSAE ParisTech) <https://www.google.com/url?q=https%3A%2F%2Fwww.lpsm.paris%2Fpageperso%2Ftan…>* *Nizar Touzi (Ecole Politechnique, Paris) <http://www.google.com/url?q=http%3A%2F%2Fwww.cmap.polytechnique.fr%2F~touzi…>* *Thaleia Zariphopoulou (University of Texas, Austin) <https://www.google.com/url?q=https%3A%2F%2Fweb.ma.utexas.edu%2Fusers%2Fzari…>* The workshop is jointly organized by Salvatore Federico, Claudio Pacati, and Luca Regis (University of Siena), and Giorgio FerrariandFrank Riedel (Bielefeld University). Registration will be open soon. Save the dates! Best wishes, Giorgio Ferrari --- Questa e-mail è stata controllata per individuare virus con Avast antivirus. https://www.avast.com/antivirus

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1-year postdoc position in Genomics, University of Montpellier, France
by Julyan Arbel 20 Dec '18

20 Dec '18

Dear all, Alice Cleynen from University of Montpellier is seeking a postdoc candidate interested in Genomics, with starting date from January 2019, for one year. The offer is attached. For more info: alice.cleynen(a)umontpellier.fr ; sophie.lebre(a)umontpellier.fr Best, Julyan Arbel http://www.julyanarbel.com/

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Concorso Ric. Tipo A, SSD SECS-S/01 Università di L'Aquila
by Fabio Antonelli 19 Dec '18

19 Dec '18

Con preghiera di diffusione. Il 18/12/18 è stato pubblicato in G.U. - scadenza a 30 giorni il seguente bando di concorso: Presso l’Università degli Studi dell’Aquila è indetta la seguente procedura selettiva per l’assunzione di n. 1 Ricercatrice/Ricercatore con contratto di lavoro subordinato a tempo determinato e pieno di durata triennale ai sensi dell’art. 24, comma 3, lett. a) della Legge 30.12.2010 n. 240 (tipo A) e del relativo Regolamento di Ateneo: Settore Concorsuale: 13/D1 – Statistica Settore Scientifico Disciplinare: SECS-S/01 – Statistica http://www.univaq.it/include/utilities/blob.php?table=concorso_doc&id=118&i… Fabio Antonelli -----------------------------

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Fwd: Saint-Flour 2019 - First announcement
by Marco Romito 17 Dec '18

17 Dec '18

-------- Forwarded Message -------- Subject: Saint-Flour 2019 - First announcement SAINT-FLOUR 2019 - FIRST ANNOUNCEMENT Dear colleagues The 49th Saint-Flour Probability Summer School will be held on July 7-19, 2019. It is supported by the Université Clermont Auvergne, Centre National de la Recherche Scientifique and European Mathematical Society. This year, the three courses will be: Nicolas Curien (Université Paris-Sud Orsay): Discrete random surfaces. Elchanan Mossel (M.I.T.): Probabilistic aspects of voting, intransitivity and manipulation. Philippe Rigollet (M.I.T.) : Statistical optimal transport. Further information can be found on the conference website and YouTube channel: http://recherche.math.univ-bpclermont.fr/stflour/stflour-en.php https://www.youtube.com/channel/UC640PtwmkBnrhCdop2daETw Online registration will open in February. You will receive another announcement at that time. Please give the information to anyone else who might be interested. Best regards, The organizing committee Christophe Bahadoran, Hacène Djellout, Arnaud Guillin ------------------------------------------------- Laboratoire de Mathématiques Blaise Pascal, CNRS UMR 6620 Université Clermont-Auvergne, Campus des Cézeaux 3, place Vasarely TSA 60026 CS 60026 63178 Aubière cedex, France Tel: +33 (0)4 73 40 70 50 Fax: +33 (0)4 73 40 54 50 mailto:stflour@math.univ-bpclermont.fr

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CIME course on Mean Field Games
by Carlo Orrieri 17 Dec '18

17 Dec '18

Ricevo e inoltro --------------- Dear all, this is to announce the CIME course on Mean Field Games, which will be held in Cetraro on June 10-14, 2019. The program will include short courses given Y. Achdou, P. Cardaliaguet, F. Delarue, A. Porretta and F. Santambrogio, dealing with different aspects of Mean Field Games theory: modeling, numerics, PDEs, variational and probabilistic approaches. The Course is mainly intended for PhD students and post-doc young researchers, but open to every interested colleague. Registration is free, but compulsory for organisatorial purposes. As usual with CIME courses, any information as well as the registration are given through the web page http://web.math.unifi.it/users/cime/ <http://web.math.unifi.it/users/cime/> Limited funds are available to offer financial support to some selected students and young researchers (post-docs). The deadline for application is 30th April 2019. P.Cardaliaguet A.Porretta

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Postdoc position in Geometric Methods for Machine Learning and Deep Learning at RIST
by Luigi Malagò 14 Dec '18

14 Dec '18

=========================================================== *Subject*: Postdoc position in Machine Learning (1 year, renewable up to 2 years) *Institution*: RIST - Romanian Institute of Science and Technology, Cluj-Napoca *Keywords*: Geometry of Latent Spaces, Optimization over Manifolds, Information Geometry, Natural Gradient, Riemannian Geometry *Application deadline*: 10 October 2018 (applicants are encouraged to apply earlier) *Salary*: around 2200 euro net *Official announcement*: http://rist.ro/en/details/news/postdoc-positions-in-deep-learning-and-machi… =========================================================== Dear colleagues, the Romanian Institute of Science and Technology (RIST) has an opening for a postdoc position, in the context of the DeepRiemann project “Riemannian Optimization Methods for Deep Learning”, funded by European structural funds through the Competitiveness Operational Program (POC 2014-2020). The appointments will be for 1 year, with possible extensions up to 2 years. The DeepRiemann project aims at the design and analysis of novel training algorithms for Neural Networks in Deep Learning, by applying notions of Riemannian optimization and differential geometry. The task of the training a Neural Network is studied by employing tools from Optimization over Manifolds and Information Geometry, by casting the learning process to an optimization problem defined over a statistical manifold, i.e., a set of probability distributions. The project is highly interdisciplinary, with competences spanning from Machine Learning to Optimization, Deep Learning, Statistics, and Differential Geometry. The objectives of the project are multiple and include both theoretical and applied research, together with industrial activities oriented to transfer knowledge, from the institute to a startup or spin-off of the research group. The positions will be part of the new Machine Learning and Optimization group https://rist.ro/en/teams.html, which performs research at the intersection of Machine Learning, Stochastic Optimization, Deep Learning, and Optimization over Manifolds, using geometric methods based on Information Geometry. The group is one of two newly-formed groups in Machine Learning at RIST. The official job announcement can be seen here: http://rist.ro/en/details/news/postdoc-positions-in-deep-learning-and-machi… Informal inquiries can be sent to Dr. Luigi Malagò <malago(a)rist.ro>, principal investigator of the DeepRiemann project. Application deadline: 10 October 2018 (applicants are encouraged to apply earlier) best regards, Luigi Malagò

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Seminario di Davide Bignamini a Pavia
by Carbone Raffaella 13 Dec '18

13 Dec '18

Cari colleghi, vi annuncio che giovedì 20 dicembre, alle ore 12, nell'aula Beltrami del Dipartimento di Matematica dell'Universita' di Pavia, il Dott. Davide Bignamini (Università di Parma) terrà un seminario dal titolo Enclosures and structure of invariant states for quantum channels di cui segue il sunto. Distinti saluti, Raffaella Carbone Abstract: In my talk I will present some probability properties for quantum channels, and I will show some similarities with the theory of classical Markov chains. At first I will introduce the concepts of reducibility, invariant state and enclosure. After that I will discuss the structure of invariant states related to the possible decompositions in enclosures of the positive recurrent subspace. Finally I will reconsider this result for a particular case of homogeneous open quantum random walks. This talk is based on the contents of my Master's thesis (Tesi di Laurea Magistrale).

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Seminario SESIA
by Matteo Ruggiero 13 Dec '18

13 Dec '18

STATISTICS SEMINARS @ COLLEGIO CARLO ALBERTO Mercoledì 19 Dicembre 2018, alle ore 11:00, presso il nuovo edificio del Collegio Carlo Alberto, in Piazza Arbarello 8, Torino, si terrà il seguente seminario: ------------------------------------------------ Matteo SESIA (Stanford University) NEW TOOLS FOR REPRODUCIBLE VARIABLE SELECTION WITH KNOCKOFFS Model-X knockoffs [1] is a new statistical framework that allows the scientist to investigate the relationship between a response of interest and hundreds or thousands of explanatory variables. In particular, model-X knockoffs can be used to identify a subset of important variables from a larger pool that could potentially explain a phenomenon under study while rigorously controlling the false discovery rate [2] in very complex statistical models. In this talk we will briefly review the fundamentals of knockoffs and their use in two different scenarios. First, we will discuss about how knockoffs can be used to exploit prior knowledge of genetic variation to obtain a powerful tool for genome-wide association studies [3]. Then, we will see how the information contained in large unsupervised datasets can be harnessed to perform effectively "model-free" variable selection [4]. [1] E. J. Candès, Y. Fan, L. Janson, and J. Lv, "Panning for gold: "model-X" knockoffs for high dimensional controlled variable selection". Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2018. [2] Y. Benjamini and Y. Hochberg, "Controlling the false discovery rate: a practical and powerful approach to multiple testing". Journal of the Royal Statistical Society: Series B (Statistical Methodology), 1995. [3] M. Sesia, C. Sabatti, and E. J. Candès, "Gene hunting with hidden Markov model knockoffs". Biometrika, 2018. [4] Yaniv Romano, Matteo Sesia and Emmanuel Candès, "Deep Knockoffs". arXiv:1811.06687, 2018. ------------------------------------------------ Tutti gli interessati sono invitati a partecipare. Il seminario è organizzato dalla "de Castro" Statistics Initiative (www.carloalberto.org/stats) in collaborazione con il Collegio Carlo Alberto. Cordiali saluti, Matteo Ruggiero --- Matteo Ruggiero University of Torino and Collegio Carlo Alberto www.matteoruggiero.it

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