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Bocconi summer school on "Graphical Models"
by Antonio Lijoi 23 Jan '18

23 Jan '18

** CALL FOR APPLICATIONS ** Bocconi Summer School in Advanced Statistics and Probability: “Graphical Models” July 9-20, 2018 http://asps.lakecomoschool.org We are pleased to announce that the 2018 edition of the Bocconi Summer School in Advanced Statistics and Probability, on "GRAPHICAL MODELS", will take place on July 9-20, 2018, at Villa del Grumello, on the shores of the Lake of Como, Italy. PROGRAM Graphical models yield a rich framework for encoding probability distributions over complex domains, involving large numbers of random variables that interact with each other. These representations rely on concepts from probability theory, graph algorithms, statistics, computer science and more. They are the basis for revolutionary methods in a wide variety of applications, such as medical diagnosis, image understanding, forensic genetics, speech recognition, natural language processing, machine learning problems, and much more. The course will present the fundamental theory and methodology, illustrated with applications and case studies. INSTRUCTORS Steffen Lauritzen (Department of Mathematical Sciences, University of Copenhagen) Robin Evans (Department of Statistics, University of Oxford, UK) Tutorials: Søren Wengel Mogensens (Department of Mathematical Sciences, University of Copenhagen) The Bocconi Summer School in Statistics and Probability is offered by Bocconi University, Milano, and is hosted by the Lake Como School of Advanced Studies. The aim of the School is to establish a track of high level courses on cutting-edge topics in Statistics and Probability. The school offers lectures delivered by internationally leading scholars on the specific designated topic, and supervised tutorials. The summer school is open to all interested scholars, but is especially addressed to PhD students, and possibly to brilliant MSc graduates/students interested in pursuing doctoral studies in Statistics, Probability, Data Science, Computer Science and related fields. APPLICATIONS: In order to foster active interaction among students and instructors, the School is targeted for a class of at most 30 qualified and selected participants. Applications can be submitted by March 15, 2018. REGISTRATION and FEES. The registration fee (450 euro) covers all the school activities and course material; wi-fi connection; all work-days lunches; welcome cocktail; accommodation for the 2 weeks (July 8-July 21, 2018). Admitted participants should register by April 20, 2018. For more information, please visit the school website http://aspas.lakecomoschool.org or contact BBS.statistics(a)unibocconi.it

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Seminar at Scuola Normale Superiore, 15 February 2018, Luciano Campi
by Giulia 22 Jan '18

22 Jan '18

Dear all, On Thursday, 15 February 2018 — from 11:00 to 13:00 — at the Scuola Normale Superiore (Room: Mancini) Prof. Luciano Campi (London School of Economics) will hold the following Seminar: Title : Nonzero-sum stochastic differential games with impulse controls: a verification theorem with applications Abstract: We consider a general nonzero-sum impulse game with two players. The main mathematical contribution of the paper is a verification theorem which provides, under some regularity conditions, a suitable system of quasi-variational inequalities for the value functions and the optimal strategies of the two players. As an application, we study an impulse game with a one-dimensional state variable, following a real-valued scaled Brownian motion, and two players with linear and symmetric running payoffs. We fully characterize a Nash equilibrium and provide explicit expressions for the optimal strategies and the value functions. We also prove some asymptotic results with respect to the intervention costs. Finally, we consider two further non-symmetric examples where a Nash equilibrium is found numerically. Fill free to forward this announcement to your colleagues. Best Giulia Livieri Assegnista di ricerca Scuola Normale Superiore Piazza dei Cavalieri, 7, 56126 Pisa PI room 65

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Workshop “Stochastic Models in Ecology and Evolutionary Biology” - second announcement
by Marco Formentin 22 Jan '18

22 Jan '18

Dear colleagues, we are glad to announce the workshop “Stochastic Models in Ecology and Evolutionary Biology” that will be held in Venice, 5-7 April 2018, at the Istituto Veneto di Scienze, Lettere ed Arti. Aim of the workshop is to bring together scientists with different background - people from biology, physics and mathematics - interested in stochastic models in ecology and evolutionary biology, to discuss issues and exchange methods and ideas. A partial list of topics includes: stochastic population dynamics, branching processes, robustness and adaptability of ecosystems, resilience and criticality of ecological systems, models and prediction of biodiversity, molecular evolution, and microbial community dynamics. Invited Speakers (in alphabetical order -*tbc): J.-F. Arnoldi, E. Baake, Otto X. Cordero, J. Dalmau, J. Friedman, J. Gore*, A. Lambert, M. Loreau, P. Metha, , T. Parsons*, A. Sanchez, B. Trubenova*. The cost for workshop attendance will be 90 Euro, which includes coffee breaks and workshop material. There are TWO registration free waivers for Ph.Ds / young Post-docs. Look in the website for instructions. We will also have contributed talks and posters sessions. The call of abstracts will close on March 2, 2018. For abstracts submission, information on accommodation and programme, please check http://www.pd.infn.it/~maritan/veniceworkshop/veniceworkshop.html Please help us to promote this meeting by forwarding this email to anyone you know might be interested, and especially bring this announcement to the attention of your students or post-docs, who are those most likely not to be on our mailing lists. Apologies for cross-posting. The organizers, Paolo Dai Pra Amos Maritan Marco Formentin Samir Suweis

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Reminder - mini-workshop on "Machine Learning and Big Data Analytics with MATLAB" at Roma Tre University
by Francesco Cesarone 19 Jan '18

19 Jan '18

Dear Colleagues, on 23 January 2018 from 14:00 to 17:00 (Computer Lab, ground floor, Department of Business Studies-Roma Tre University, Via Silvio D'Amico, 77 -00145, Roma), Dr. Francesca Perino, Application Engineer at MathWorks, will hold a mini-workshop on "Machine Learning and Big Data Analytics with MATLAB". The attendance of the course is free, but for organizational reasons it is necessary to register to register on the following web page: https://it.mathworks.com/company/events/seminars/ml-da- with-matlab-2373496.html. *Overview* *At the heart of many financial applications are machine learning techniques used for risk classification, economic analysis, credit scoring, time series forecasting, estimating default probabilities, and data mining. Big data represents an opportunity for quantitative analysts and data scientists alike to impact the way organizations make informed business decisions. By building machine learning models that harness big data, a greater level of insight and confidence can be achieved.* *However, implementing and comparing machine learning techniques to choose the best method can be challenging. Furthermore, there is no single approach to solving the many challenges arising from working with big data. MATLAB minimizes these challenges by providing you with a number of built-in functions and tools for quick prototyping, integration, and scaling, to take you from initial prototype all the way to business-critical production system.* *In this session, we will introduce ways of working with big data systems, the different types of machine learning techniques in MATLAB, how to determine the best techniques for your problem by evaluating model performance, and rapidly deploying your machine learning models into production. We will cover several new workflows and data types in MATLAB and the toolboxes that have been designed to address the most common challenges with big data analytics and machine learning.* *Highlights* *Data management and integration with databases, live market data, and big data environments* *Efficient workflows for heterogenous time-series data using new data management capabilities* *Parallel Computing techniques to speed up long-running computations and deal with out-of-memory data* *Predictive modeling and using supervised machine learning techniques to build a credit rating engine* We look forward to meeting you in Roma Tre! Best regards, Francesco Cesarone -- http://disa.uniroma3.it/qfw2018/ -- Francesco Cesarone - Ph.D. Ricercatore - Assistant Professor Facoltà di Economia Dipartimento di Studi Aziendali Università Roma Tre Via Silvio D'Amico, 77 00145 - Roma tel: +39 06 57335744 Skype: francesco.cesarone email: francesco.cesarone(a)uniroma3.it Studio n. 20 piano V WWW: http://host.uniroma3.it/docenti/cesarone/

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Reminder - ARPM mini-workshop on "Advanced statistical techniques across disparate asset classes" at Roma Tre University
by Francesco Cesarone 19 Jan '18

19 Jan '18

Dear Colleagues, on 24 January 2018 from 9:30 to 13:00 (Aula 8, Department of Business Studies-Roma Tre University, Via Silvio D'Amico, 77 -00145, Roma ), Dr. Angela Loregian, senior researcher at ARPM <https://www.arpm.co/>, will hold a min-workshop on "Advanced statistical techniques across disparate asset classes" ( http://disa.uniroma3.it/wp-content/uploads/2017/03/ARPM-mini-workshop-A3.pdf ). The attendance of the course is free, but for organizational reasons it is necessary to register by sending an email to francesco.cesarone(a)uniroma3.it with the following subjects: Name Surname - ARPM mini-workshop. *About the Program.* *We introduce the concept of "risk driver" and **"invariant“, illustrating:* *- the asset-specific art of building risk drivers across the financial markets* *- the asset-agnostic science of applying statistics (econometrics and **machine learning) to extract the invariants and estimate their joint * *distribution. **Then, we translate the above statistical analysis into the asset-specific **joint distribution of instrument returns.* We look forward to meeting you in Roma Tre! Best regards, Francesco Cesarone -- http://disa.uniroma3.it/qfw2018/ -- Francesco Cesarone - Ph.D. Ricercatore - Assistant Professor Facoltà di Economia Dipartimento di Studi Aziendali Università Roma Tre Via Silvio D'Amico, 77 00145 - Roma tel: +39 06 57335744 Skype: francesco.cesarone email: francesco.cesarone(a)uniroma3.it Studio n. 20 piano V WWW: http://host.uniroma3.it/docenti/cesarone/

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Seminario a RM1
by Faggionato, Alessandra 18 Jan '18

18 Jan '18

Seminario di Probabilita' Aula di Consiglio, Dipartimento di Matematica, La Sapienza Lunedi' 22 Gennaio, ore 16.00 Speaker: A. Chiarini (ETH Zurigo) Title: Invariance principle for the degenerate dynamic random conductance model. Abstract: After the brilliant result of Papanicolau and Varadhan (1979) in the case of bounded stationary and ergodic environments, there has been a recent upsurge in the research of quenched homogenization in random media. In particular, to identify the optimal conditions that a general stationary and ergodic environment must satisfy in order to obtain the convergence to a non-degenerate Brownian motion, is still an open problem. In this talk, we study a continuous-time random walk on Z^d in an environment of dynamic random conductances. We assume that the law of the conductances is ergodic and stationary with respect to space-time shifts. We prove a quenched invariance principle for the random walk under some moment conditions on the environment. The key result on the sublinearity of the corrector is obtained by the celebrated Moser’s iteration scheme. This is joint work with S. Andres, J-D. Deuschel and M. Slowik. ************************************************* Prof. Alessandra Faggionato http://www1.mat.uniroma1.it/~faggionato/ Department of Mathematics University "La Sapienza" Piazzale Aldo Moro, 5 00185 - Rome Office 5, Phone (0039) 06 49913252 *************************************************

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1st international conference on " Quantitative Finance and Financial Econometrics ", sponsored by SoFiE - Marseille - May 2018
by Monica Billio 17 Jan '18

17 Jan '18

-------- Messaggio Inoltrato -------- Oggetto: 1st international conference on " Quantitative Finance and Financial Econometrics ", sponsored by SoFiE - Marseille - May 2018 Data: Wed, 17 Jan 2018 21:14:38 +0100 Mittente: Sébastien Laurent <sebastien.laurent(a)univ-amu.fr> Rispondi-a: qffe2018(a)amse-aixmarseille.fr A: qffe2018(a)amse-aixmarseille.fr Dear colleagues, I am pleased to announce the organisation of the first conference on " Quantitative Finance and Financial Econometrics " (QFFE) that will be held in Marseille (France) from May 30^th to June 1^st , 2018. This conference received a scientific sponsorship from the Society for Financial Econometrics (SoFiE). Our guest speakers are *Andrew J. PATTON (*Duke University) and *Dick van DIJK (*Erasmus University Rotterdam). Prior to this conference we also organise a summer school made up by two courses delivered from May 28^th to May 30^th , 2018 by *Sébastien LAURENT* (Aix-Marseille University), on /Forecasting Risk with Intra-Day Data/ and *Andrew J. PATTON (*Duke University) on /Forecasting Risk with Intra-Day Data/ For more information (on submission, registration, accommodations, etc), see the attached call for papers and the conference website https://qffe2018.sciencesconf.org/ _Important dates:_ Submissions of a complete paper : February 28th, 2018 Decision : March 20th, 2018 Registration deadline for the conference and/or summer school: May 2nd, 2018 _Submissions on the following topics are welcome:_ • Big-data in finance • Empirical finance • High-frequency data • New methods in quantitative finance • Time series forecasting • Volatility and risk modeling On behalve of the conference chairs and the scientific committee, Best Regards Sébastien Laurent -- Nota automatica aggiunta dal sistema di posta.

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New Perspectives in Analysis, Probability and Applications
by Enrico Scalas 16 Jan '18

16 Jan '18

Dear Colleagues, On January 24-26 there will be a 3 day workshop at Sussex funded by the London Mathematical Society on New Perspectives in Analysis, Probability and Applications January 24: "Mathematics in Materials Science" (speakers: John Ball, Lucia Scardia and Konstantinos Koumatos) January 25: "Diffusions: Theory and Applications” (speakers: Michela Ottobre, Grigorios Pavliotis and Andrew Duncan) January 26: “Markov Chains” (speakers: Dmitry Korshunov, Denis Denisov and Vladislav Vysotsky) The venue is Room Pevensey 1A6 at the Falmer Campus and all details can be found here http://www.sussex.ac.uk/maths/research/perspectives Please do come along (coffee will be provided) and, if you know of anyone else who may be interested to attend, feel free to circulate this email. Kind regards, Enrico Scalas

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Bayesian Young Statisticians Meeting (BAYSM2018)
by Raffaele Argiento 16 Jan '18

16 Jan '18

The 4rd Bayesian Young Statisticians Meeting, BAYSM2018, 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 Reseachers 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. Recognized figures of the Bayesian community will also participate as keynote speakers, making an altogether exciting program. Registration is now open (https://warwick.ac.uk/baysm) and will be available with an early bird discount until April 30. 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. Young researchers interested in giving a talk or presenting a poster are invited to submit an abstract. The call for submissions is now open and closes March 26 (https://warwick.ac.uk/baysm/calldates/). Thanks to generous support of ISBA, a number of travel awards are available to support young researchers. 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/) Raffaele Argiento -- Dr. Raffaele Argiento University of Torino and Collegio Carlo Alberto www.raffaeleargiento.it

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Seminari prof. Berger
by Brunero Liseo 16 Jan '18

16 Jan '18

A completamento dell'annuncio sul ciclo di seminari che il prof. James O. Berger terrà presso la facoltà di Economia Sapienza Università di Roma secondo il calendario seguente Bayesian Model Selection Aula 6B, piano terra F acoltà di Economia, Via del Castro Laurenziano, 9, Lunedì 22 gennaio ore 11-13 Martedì 23 gennaio ore 16.30-18 Mercoledì 24 gennaio 11.30-13 Mercoledì 24 gennaio 14.30-16 si allega abstract dei singoli seminari Abstract: These lectures address the Bayesian approach to hypothesis testing and model uncertainty, with extensive comparisons to the classical approaches to these subjects. The first lecture, "Introduction to Bayesian Hypothesis Testing," begins with a brief introduction to Bayesian analysis, for students who have not been exposed to the subject. The lecture then goes on to highlight the main issues, through a discussion of p-values (the classical approach to hypothesis testing) versus Bayes factors (the Bayesian approach), primarily done through pedagogical examples. The first lecture (after a break) will go on to present the formalism of Bayesian hypothesis testing, with examples. The second lecture "Interfaces Between Testing Paradigms," will take a step back to the historical development of statistics, and describe how the classical and Bayesian approaches of hypothesis testing developed, and show that there is currently methodology that is completely compatible with both perspectives. The third lecture "Essentials of Bayesian Model Uncertainty," extends the first two lectures to the subject of dealing with many possible statistical models. Interestingly, none of the basic methodology changes - it just becomes more difficult to implement. The final lecture focuses on "Variable Selection in the Linear Model," arguably the most important statistical problem, and discusses Bayesian resolutions that have amazing properties, as well as software that implements the methodology. -- ============================================ Brunero Liseo *Dip. di metodi e modelli per il territorio, l'economia e la finanza * *Sapienza Università di Roma* *Viale Castro Laurenziano, 9 Roma I-00161 *Tel. +39 06 49766973 Fax +39 06 4957606 *https://sites.google.com/a/uniroma1.it/bruneroliseo/ <https://sites.google.com/a/uniroma1.it/bruneroliseo/>* ============================================

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