Random January 2018

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Marie Sklodowska-Curie Ph.D. studentship in Statistical Sciences at the University of Padova (Italy) - Deadline April 15, 2018 at 5PM CET
by Patrizia Piacentini - PhD 29 Jan '18

29 Jan '18

As a partner of the Marie Skłodowska-Curie European Innovative Training Network (ITN) named "/International Training Network of Statistics for High Energy Physics and Society/" (*INSIGHTS*), the INFN (Italian National Institute for Nuclear Physics) offers a *Ph. D. scholarship in Statistical Sciences at the University of Padova*. The early-stage researcher (ESR) recipient of the scholarship will be hired by INFN and enrolled in the three-year Ph. D. program offered by the Department of Statistical Sciences of the University of Padova. The ESR will conduct his or her research at the Padova section of INFN; the research will focus on statistical methods targeting the analysis of data from proton-proton collisions collected by the CMS experiment at the Large Hadron Collider operating at the CERN laboratory in Geneva, Switzerland, aiming at the detection of new physics phenomena. The research and training plan includes the participation to international doctoral schools, workshops, and conferences in Physics and Statistics, as well as month-long visiting periods to CERN and to other European institutions belonging to the Network, plus a three-month internship at a non-academic institution, for a stage centered on industry applications of Machine Learning tools. The trainee will work in close connection with a dozen ESR colleagues hired by the partners of the INSIGHTS network. The network vows to provide outstanding, interdisciplinary training and to provide the trainees with excellent employability, both within and outside the academic world. At the end of the three-year program the ESR will obtain a Ph. D. title from the University of Padova. * ELIGIBILITY CRITERIA *Candidates should have an at least four year full time university education degree in Statistics, Mathematics, Physics or related fields, *formally enabling them to embark in a doctorate program in the country where the degree was obtained*; in any case they should possess a strong background in Mathematics, Statistics and Statistical Learning. Additional favorable traits include good computing skills and an interest in the application of statistical methods to fundamental research. *The application of females is encouraged as INSIGHTS applies affirmative-action measures to ensure gender neutrality in the recruitment process*. In addition to the above, at the time of recruitment by INFN eligible candidates*must NOT have resided or carried out their main activity (work, studies, etc.) in Italy *for more than 12 months in the three years immediately preceding the recruitment date (short stays such as holidays are not taken into account). Eligible candidates must *NOT have been awarded a doctoral degree* and also be, at the time of recruitment, *in the first four years* (full-time equivalent) of their research careers. This is measured from the date when they obtained the degree which would formally entitle them to embark on a doctorate, either in the country in which the degree was obtained or in Italy. * CONDITIONS *The gross scholarship amounts to euro *3,318.37*/month; in addition to it, a gross mobility allowance of euro *600.00*/month is provided for, as well as a gross family allowance of euro *500.00*/month if applicable. The cost of enrolment in the Ph. D. school and of the doctoral courses, as well as all expenses related to travel to schools, workshops, and network-organized events and internships will be sustained by the network. * HOW TO APPLY*Applications shall be sent by e-mail to the address insights(a)pd.infn.it <mailto:insights@pd.infn.it> until the deadline, set to *April 15^th 2018 at 5PM CET*. Eligible applications shall be entirely written in English, and have as e-mail subject the text “/INSIGHTS application -/” followed by last name and first name of the applicant; in case of memory limitations, applicants may send the material in more than one e-mail by adding to the subject a proper numbering ("/part 1/", "/part 2/", etc.). E.g., “/INSIGHTS application – Doe, John (part 1)” /for the first e-mail, and/“INSIGHTS application – Doe, John (Part 2)/” for the second. The e-mail(s) shall include as attachments: -a properly filled *application form,* which can be downloaded at this link: http://www.pd.infn.it/%7Edorigo/INSIGHTS.docx -an exhaustive *curriculum vitae*; -scans of the original certificates for all titles (university degree, scholarships, etc.) claimed by the applicant in the application form; -a readable *passport scan*. Applications will be considered valid if *at least one, and no more than two reference letters* supporting the applicant are received before the above deadline by the already mentioned e-mail address. The subject of e-mails containing reference letters should be of the form “/Reference letter for INSIGHTS application of /” followed by the candidate’s last and first name.** * SELECTION PROCESS *After a preselection, the most promising candidates will be invited to a one-hour colloquium by video-conference with the selection committee in early May 2018; non-preselected candidates will be notified by e-mail of the result of the preselection. The selection committee will be formed by INFN and Padova University personnel. During the colloquia candidates will be asked to introduce themselves and shortly describe their past research experience. The outcome of the selection process will be notified to preselected candidates within two weeks. *The research activities and scholarship will start in the month of September 2018*, and the Ph. D. program courses are expected to start at the beginning of October 2018. The hired candidate is required to _take residence in the province of Padova_ for the full duration of the program. Further information on the position and on the program of the INSIGHTS training network can be obtained by visiting the network’s web site at https://www.insights-itn.euor by contacting by e-mail the ESR supervisor Prof. Bruno Scarpa at scarpa(a)stat.unipd.it <mailto:scarpa@stat.unipd.it>or the INFN PI dr. Tommaso Dorigo at dorigo(a)pd.infn.it <mailto:dorigo@pd.infn.it> *INSIGHTS ITN - Call for applications* https://lhcb.web.cern.ch/lhcb/lhcb_page/collaboration/jobs/INSIGHTS%20call%…

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Workshop “One day in Stochastic Analysis” [Verona - Dept. Comp. Science]
by Luca di persio 28 Jan '18

28 Jan '18

Dear all, this is to announce the workshop "One day in Stochastic Analysis", that will take place the next 5th of February, within the Verona Paris Stochastic Modeling Semester: vpsms2018.org Invited speakers and their contributions are: Sergio Albeverio ( Bonn University ) *S(P)DEs,asymptotics,singularities: emerging structures* Robert Dalang ( Ecole Polytechnique Fédérale de Lausanne ) *Hitting probabilities for systems of stochastic partial differential equations* Francesco Russo ( ENSTA ParisTech ) *Bsdes, Martingale problems, associated deterministic equations and applications* You can find more details here: vpsms2018.org/event/workshop-one-day-in-stochastic-analysis Do not hesitate to contact me if you need further info. LuCa __ Luca Di Persio - PhD Probability and Mathematical Finance Dept. Informatics University of Verona strada le Grazie 15 - 37134 Verona - Italy Tel : +39 045 802 7968 <+39%20045%20802%207968> Head of R&D info(a)hpa8.com | www.hpa8.com

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Fwd: Workshop "Interplay of Random Media and Stochastic Interface Models"
by Francesco Caravenna 26 Jan '18

26 Jan '18

Ricevo e inoltro. > Inizio messaggio inoltrato: > > Da: Sebastian Andres <sa836(a)cam.ac.uk> > Oggetto: Workshop "Interplay of Random Media and Stochastic Interface Models" > > Dear friends and colleagues, > > On the occasion of Jean-Dominique Deuschel’s 60th birthday we are organising the workshop "Interplay of Random Media and Stochastic Interface Models" taking place at TU Berlin on June 25-27, 2018. You can find more details and a list of speakers on the conference website > > http://www3.math.tu-berlin.de/stoch/RMSI2018/ <http://www3.math.tu-berlin.de/stoch/RMSI2018/> > > The registration will be opened in the upcoming days. On behalf of Jean-Dominique we most warmly invite you to participate in the event. We would also be most grateful if you could help us advertising the workshop by displaying the attached poster in your department. > > With best regards, > Sebastian Andres, Wolfgang König, Martin Slowik

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Seminario LEISEN
by Matteo Ruggiero 26 Jan '18

26 Jan '18

STATISTICS SEMINARS @ COLLEGIO CARLO ALBERTO Venerdì 2 Febbraio 2018, alle ore 12:00, presso il nuovo edificio del Collegio Carlo Alberto, in Piazza Arbarello 8, Torino, si terra' il seguente seminario: ------------------------------------------------ Fabrizio LEISEN (University of Kent) COMPOUND RANDOM MEASURES Compound Random Measures (CoRM's) have been recently introduced by Griffin and Leisen (2017) and represent a general and tractable class of vectors of Completely Random Measures. This talk aims to provide an overview about CoRM's by illustrating some recent developments about their use in Bayesian nonparametrics. ------------------------------------------------ Tutti gli interessati sono invitati a partecipare. Il seminario e' 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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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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