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BAYSM 2018 announcement: early bird deadline closing on 7st May 2018
by Raffaele Argiento 03 May '18

03 May '18

The Early Bird registration deadline for BAYSM 2018 is the 7th of May 2018. Register now (https://warwick.ac.uk/baysm) to receive the discounted registration cost for this exciting event. As part of the registration process you can also book your accommodation in en-suite rooms on campus at Conference Park. BAYSM2018 is the 4rd edition of the Bayesian Young Statisticians Meeting and will take place at University of Warwick, Coventry, UK (2-3 July 2018), as a satellite to the ISBA 2018 world meeting. BAYSM is dedicated to Ph.D. Students, M.S. Students, Post-Docs, Young and Junior Researchers working in the field of Bayesian statistics, providing an opportunity to connect with the Bayesian community at large. Senior discussants will be present at each session, providing participants with advise and comments to their work. Recognised figures of the Bayesian community will also participate as keynote speakers, making an altogether exciting program. The event will be hosted by the Department of Statistics of the University of Warwick (https://warwick.ac.uk/statistics/) It will include social events, providing the opportunity to get to know other junior Bayesians. Keynote speakers: Kerrie Mengersen (Queensland University of Technology) Igor Prünster (Bocconi University) Judith Rousseau (University of Oxford) Stephen Senn (University of Glasgow) Yee Whye Teh (University of Oxford) Discussants: Deborah Ashby (Imperial College) Bärbel Finkenstädt Rand (University of Warwick) Jim Griffin (University of Kent) Michele Guindani (University of California, Irvine) Amy Herring (Duke University) Jim Smith (University of Warwick) Mark Steel (University of Warwick) Sebastian Vollmer (University of Warwick) While the meeting is organized for and by junior Bayesians, attendance is open to anyone who may be interested. For more information, please visit the conference website: https://warwick.ac.uk/baysm On behalf of the BAYSM2018 organizing committee (https://warwick.ac.uk/baysm/organiserssponsors/) -- Dr. Raffaele Argiento University of Torino and Collegio Carlo Alberto www.raffaeleargiento.it

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Call for tenure-track at the University of Oslo
by Giulia Di Nunno 03 May '18

03 May '18

Dear Colleagues, The Department of Mathematics of the University of Oslo (Section for Stochastic analysis, finance, insurance and risk) is announcing a tenure-track position in insurance mathematics and probability theory. The call is now open. Deadline for application is May 20th, 2018. Please, bring this to the attention of interested people and help us to spread the ad: https://www.jobbnorge.no/en/available-jobs/job/151890/tenure-track-position… Best regards, Giulia Di Nunno

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Seminari SOYER e POLSON al CNR IMATI - Milano - 3 Maggio
by antonio.pievatolo＠cnr.it 02 May '18

02 May '18

Ricordo i seguenti seminari che si svolgeranno presso CNR IMATI, via Alfonso Corti 12, Milano, Aula A Giovedì 3 maggio 2018, ore 15:00 - 16:30 [notare il cambio di aula; gentilmente scrivere a simona(a)mi.imati.cnr.it se si intende partecipare] 1) Refik Soyer, School of Business, George Washington University ore 15:00-15:45 BAYESIAN MODELING OF NON GAUSSIAN MULTIVARIATE TIME SERIES Abstract: Modeling of multivariate non Gaussian time series of correlated observations is considered. In so doing, we focus on time series from multivariate counts and durations. Dependence among series arises as a result of sharing a common dynamic environment. We discuss characteristics of the resulting multivariate time series models and develop Bayesian inference for them using particle filtering and Markov chain Monte Carlo methods. We illustrate application of the proposed approach using conditionally multivariate Poisson and gamma time series. Joint work with Tevfik Aktekin, University of New Hampshire and Nicholas Polson, University of Chicago 2) Nicholas Polson, Booth School of Business, University of Chicago ore 15:45-16:30 DEEP LEARNING: A BAYESIAN PERSPECTIVE Deep learning is a form of machine learning for nonlinear high dimensional pattern matching and prediction. By taking a Bayesian probabilistic perspective, we provide a number of insights into more efficient algorithms for optimisation and hyper-parameter tuning. Traditional high-dimensional data reduction techniques, such as principal component analysis (PCA), partial least squares (PLS), reduced rank regression (RRR), projection pursuit regression (PPR) are all shown to be shallow learners. Their deep learning counterparts exploit multiple deep layers of data reduction which provide predictive performance gains. Stochastic gradient descent (SGD) training optimisation and Dropout (DO) regularization provide estimation and variable selection. Bayesian regularization is central to finding weights and connections in networks to optimize the predictive bias-variance trade-off. To illustrate our methodology, we provide an analysis of international bookings on Airbnb. Finally, we conclude with directions for future research. Joint work with Vladimir Sokolov, Sistems Engineering and Operations Research, George Mason University -- Dr Antonio Pievatolo IMATI-CNR http://www.imati.cnr.it/joomla/index.php/people?layout=edit&id=101

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seminario Marco Patacca in Bicocca
by fabio bellini 02 May '18

02 May '18

Il giorno venerdì 11 maggio alle ore 14.30 presso la Aula Seminari 4026 del DISMEQ al IV piano dell'edificio U7, il dott. Marco Patacca della Università di Perugia terrà un seminario su "Bitcoin prices and market attention" Abstract In this work we measure market attention by applying several filters on time series for the trading volume or the SVI Google searches index. We analyze relative impact of these measures either on the mean or on the variance of Bitcoin returns by fitting non linear econometric models to historical data from January 1, 2012 to December 31, 2017; two non-overlapping subsamples are also considered. Outcomes confirm our conjecture that market attention has an impact on Bitcoin returns. Specifically, trading volume related measures affect both the mean and the conditional variance of Bitcoin returns while internet searches volume mainly affects the conditional variance of returns. Motivated by these evidences we propose a continuous time model for Bitcoin price, we obtain an approximate formula for the likelihood and we fit the model to historical data (joint work with Gianna Figà-Talamanca). Tutti gli interessati sono invitati a partecipare. -- Prof. Fabio Bellini Department of Statistics and Quantitative Methods University of Milano-Bicocca Via Bicocca degli Arcimboldi 8, 20126 Milano 0039-2-64483119 http://scholar.google.it/citations?user=P61L8P4AAAAJ&hl=it

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PhD position in Bern
by fabio bellini 02 May '18

02 May '18

A message from Johanna Ziegel and Riccardo Gatto: UNIVERSITY OF BERN (INSTITUTE OF MATHEMATICAL STATISTICS AND ACTUARIAL SCIENCE) PhD POSITION in STATISTICS Funding is available for a PhD student (3 years) to work on a project in one of the following areas: Statistical forecasting including elicitability and related topics, stochastic simulation, large deviations and related computational techniques. The student will be supervised by Prof. Johanna Ziegel or Prof. Riccardo Gatto depending on the choice of topic. The prospective PhD student should have a solid background in mathematics, mathematical statistics and/or probability theory. The salary will be at the level foreseen by the SNF for PhD students, see http://www.snf.ch/SiteCollectionDocuments/allg_doktorierende_d.pdf. There might be a possibility to complement the salary by taking up teaching and statistical consulting duties. The starting date is 1 September 2018 or by mutual agreement. Applications (cover letter, CV, and transcripts from the studies) giving the name and address (postal and e-mail) of an academic referee should be e-mailed as a single file to Prof. Johanna Ziegel johanna.ziegel(a)stat.unibe.ch and Prof. Riccardo Gatto riccardo.gatto(a)stat.unibe.ch All applications received before 10 June 2018 will be considered. Later applications will be considered until the position is filled. Informal e-mail enquiries are welcome. http://www.imsv.unibe.ch

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Three Days in Quantum Mechanics, Genoa, June 6-8
by Alberto Barchielli 01 May '18

01 May '18

Dear Collegues, We are pleased to announce the workshop "Three Days in Quantum Mechanics", which will take place on June 6-8, 2018 in Genoa - Italy. The workshop will be focused on the the mathematical aspects of Quantum Information and Quantum Incompatibility, with a particular reference to - quantum tomography; - quantum uncertainty relations and information-disturbance tradeoff; - quantum entanglement; - open quantum systems. The purpose of the workshop is to take stock of most recent significant advances and insights on the above topics, and enable the participants to jointly explore future directions and forge new collaborations. You can find some more information and an updated list of speakers at the following link: https://www.ge.infn.it/~toigo/ Looking forward to seeing you in Genoa! With best regards, The Organizing Committee Claudio Carmeli, Paolo Solinas, Alessandro Toigo, Bassano Vacchini, Nino Zanghi'. -- Prof. Alberto Barchielli Politecnico di Milano, Dipartimento di Matematica, Piazza Leonardo da Vinci 32, I-20133 Milano, Italy tel +39 0223994559 fax +39 0223994513 http://www.mate.polimi.it/qp/ http://www.springer.com/978-3-642-01297-6

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Call for Expression of Interest - Politecnico di Torino
by TRIVELLATO BARBARA 29 Apr '18

29 Apr '18

The Department of Mathematical Sciences of the Politecnico di Torino (DISMA) opens a call for expression of interest for a tenured Associate Professor position in the field of discrete or computational mathematics. The position is supported by a research grant obtained by DISMA as Dipartimento di Eccellenza 2018-2022. Full details and contacts can be found at http://www.polito.it/disma-excellence/EoIAssociateProfessor.html Saluti, Barbara Trivellato Dipartimento di Scienze Matematiche Politecnico di Torino Corso Duca degli Abruzzi, 24 10129 Torino, ITALY Tel: +39 011 564 7550 Fax: +39 011 564 7599 barbara.trivellato(a)polito.it

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Extended deadline - Advanced School on complexity and emergence
by elisa mastrogiacomo 29 Apr '18

29 Apr '18

This is the final* announcement* of the upcoming *Advanced School on complexity and emergence: ideas, methods, with a special attention to economics and finance (CEIM)* The School will be held in the magnificent Villa del Grumello, Como (Italy) along the Lake Como shore on July 22-27, 2018. The main courses will be given by L. Boi (EHESS – Paris), I. Capelli (Università dell’Insubria), I. Ekeland (Ceremade - Universitè Paris-Dauphine), F. Guerra (Sapienza Università di Roma), J. Jost (Max Planck Institute for Mathematics in the Sciences - Leipzig), Florent McIsaac, (Agence Française pour le Développement), F. Patras (Université de Nice Sophia-Antipolis), F. Riedel (Center for Mathematical Economics, Bielefeld University), F. Semboloni (Università degli studi di Firenze), R. Seri (Università dell’Insubria). The potential participants of the School are primarily master and doctorate students of mathematics, information sciences, theoretical physics, and economics, as well as research workers in those areas, who want to enlarge their spectrum of knowledge towards the area of complexity. The aim of the School is to provide these researchers useful instruments from the theory of complex systems, both on the theoretical level and the methodological ones, bridging the present disciplinary gap, and profiting from knowledge and insights from both communities. The School may have some (limited number of) financial supports. Details about the registration, the program and the application for financial support are available at the website http://ceim.lakecomoschool.org/. *Deadline for application: 14th May. * We would be grateful if you could circulate this announcement among your PhD students, postdocs and colleagues. With our best regards, Sergio Albeverio Elisa Mastrogiacomo Fabio Minazzi Emanuela Rosazza Gianin Stefania Ugolini

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A Winter Day in Probability and Statistical Physics
by Francesca Romana Nardi 27 Apr '18

27 Apr '18

Carissimi, stiamo preparando la prossima giornata di seminari del 16 Marzo 2018 (terzo incontro della serie di giornate sulla probabilita` e le sue applicazioni alla Fisica, Biologia e Scienze sociali). Ricordo che ciascuno oratore fara` una lezione introduttiva e divulgativa di 45 minuti pensata proprio per i non esperti, seguita da altri 45 minuti di tipo seminario (vedi programma). Per maggiori informazioni e aggiornamenti sulle giornate passate e future abbiamo istituito una pagina web che vi invitiamo a visitare periodicamente. http://web.math.unifi.it/users/fnardi/seminari/ A WINTER DAY IN PROBABILITY AND STATISTICAL PHYSICS University of Florence Friday 16 March 2018 Lecturers: Frank den Hollander (Leiden) and Giovanni Peccati (Luxenbourg) Location: Aula Magna di Via S. Gallo 10, Firenze Prof. Frank den Hollander (Leiden University) Title: Large deviations for the Wiener sausage Abstract: The Wiener sausage is the 1-environment of Brownian motion. It is an important mathematical object because it is one of the simplest non-Markovian functionals of Brownian motion. The Wiener sausage has been studied intensively since the 1970's. It plays a key role in the study of various stochastic phenomena, including heat conduction, trapping in random media, spectral properties of random Schrödinger operators, and Bose-Einstein condensation. In these lectures we look at two specific quantities: the volume and the capacity. After an introduction to the Wiener sausage, we show that both the volume and the capacity satisfy a downward large deviation principle. We identify the rate and the rate function, and analyse the properties of the rate function. We also explain how the large deviation principles are proved with the help of the skeleton approach. Joint work with Michiel van den Berg (Bristol) and Erwin Bolthausen (Zurich). Giovanni Peccati (University of Luxembourg) Title: Stein's method and stochastic geometry Abstract: The so-called 'Stein's method' for probabilistic approximations is a collection of powerful analytical techniques, allowing one to explicitly assess the distance between the distributions of two random objects, by using caracterizing differential operators. Originally developed by Ch. Stein at the end of the sixties for dealing with one-dimensional normal approximations under weak dependence assumptions, Stein's method has rapidly become a crucial tool in many areas of modern stochastic analysis, ranging from random matrix theory and random graphs, to mathematical physics, geometry, combinatorics and statistics. In the first part of my talk, I will provide a self-contained introduction to Stein's method for normal approximations, by focussing on some connection with generalised integration by parts formulae, both in a continuous and discrete setting. In the second part of my talk, I will present some recent applications of Stein's method in stochastic geometry, with specific emphasis on the geometry of random fields, and on random geometric graphs. Program: 11.00-11.45 Introductory lecture: den Hollander 11.45-12.00 Break 12.00-12.45 Seminar: den Hollander 13.00-14.30 Lunch 14.30-15.15 Introductory lecture: Peccati 15.15-15.30 Break 15.30-16.15 Seminar: Peccati Organizers: F. Caravenna, N. Cancrini, E.N.M. Cirillo, P. Dai Pra, A. De Masi, D. Fanelli, F. Flandoli C. Giardina`, R. Livi, D. Marinucci, F. Martinelli, I.G. Minelli, F.R. Nardi, E. Presutti, B. Scoppola, E. Scoppola Note pratiche: 1) E` importante prenotare il biglietto del treno il piu` presto possibile per poter usufruire di sconti!!!! 2) Stiamo prenotando un ristorante con un paio di menu fissi (di cui uno vegerariano) che possa ospitarci, ma ho bisogno del numero di persone che vogliono mangiare insieme. A coloro che fossero interessati chiedo di mandare un email a francescaromana.nardi(a)unifi.it Resta fermo il fatto che saremo in pieno centro di Firenze, quindi ci sono moltissime altre possibilita` per mangiare se preferite regolarvi indipendentemente. Vi aspettiamo numerosi Francesca R. Nardi Dipartimento di Matematica e Informatica Università degli Studi di Firenze Viale Morgagni 67, Firenze, Italy

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[Polimi] From Blockchain&Bitcoin to Distributed Ledger Technologies, Smart Contracts and Cryptocurrencies in Finance
by Daniele Marazzina 27 Apr '18

27 Apr '18

Il Nicola Bruti Liberati Quantitative Finance Lab del Dipartimento di Matematica del Politecnico di Milano organizza nei giorni 9-10 maggio 2018 la conferenza >From Blockchain&Bitcoin to Distributed Ledger Technologies, Smart Contracts and Cryptocurrencies in Finance La conferenza si svolge nell’ambito dell'iniziativa Polimi Fintech Journey grazie al supporto di Deloitte Consulting. Allego il programma in pdf. La conferenza si rivolge al mondo accademico e a quello dell’industria finanziaria con l’intenzione di fare il punto attorno a tre temi: aspetti tecnologici legati al mondo DLT e degli smart contracts, i risvolti economici e finanziari di questi strumenti, le potenziali applicazioni al mondo della finanza. La conferenza ha un taglio multidisciplinare con l’intervento di esperti informatici e del mondo della finanza, esponenti dell’industria finanziaria e delle autorità di regolazione, La conferenza sarà preceduta da un tutorial che intende fornire un’introduzione sulla tecnologia di questi strumenti. Per dettagli sul programma e per la registrazione si prega di consultare il sito https://www.mate.polimi.it/fintech/.

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