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RTD-B SECS-S/06 @UNIMI
by Giovanni Puccetti 30 Jan '20

30 Jan '20

Alla pagina web https://www.unimi.it/it/ateneo/lavora-con-noi/reclutamento-ricercatori/sele… <https://www.unimi.it/it/ateneo-lavora-con-noi-reclutamento-ricercatori-sele…> è consultabile il bando per la selezione pubblica per un posto di ricercatore a tempo determinato ai sensi dell’art. 24, comma 3, lett. b), nel settore 13/D4 (SECS-S/06), presso il Dipartimento di Economia, Management e Metodi Quantitativi dell’Università degli Studi di Milano.

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PhD lectures by G. Peccati in Pisa
by Dario Trevisan 29 Jan '20

29 Jan '20

Dear all, this is to inform you that the second part of the PhD lectures on Stein-Malliavin Method, given by G. Peccati, will begin next week and are scheduled as follows: *Poisson part *(G. Peccati) February 3: 3-6 PM February 4: 2-5 PM They will take place in Sala Seminari, first floor, Dipartimento di Matematica, Università degli studi di Pisa. Regards, Dario -- Dario Trevisan, Università degli Studi di Pisa, Dipartimento di Matematica, Largo Bruno Pontecorvo 5, 56127 - Pisa (PI) Italy telephone: (+39) 050 2213832 mobile: (+39) 331 2899761 Skype: dario-trevisan e-mail: dario.trevisan AT unipi.it webpage: http://people.dm.unipi.it/trevisan/

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ECSO - CMS 2020 second Call for Papers
by Martina Nardon 28 Jan '20

28 Jan '20

* Apologies for cross-posting Second Announcement and Call for Papers Joint EUROPEAN CONFERENCE ON STOCHASTIC OPTIMIZATION and COMPUTATIONAL MANAGEMENT SCIENCE Conference Venice 1-3 July 2020 We invite you to participate and submit your contribution to the joint conference ECSO - CMS 2020. Venue: Department of Economics, Ca’ Foscari University of Venice San Giobbe Campus – Cannaregio 873, 30121 Venice, Italy Webpage: www.unive.it/ecsocms2020 IMPORTANT DATES Abstract submission: March 1, 2020 Notification of acceptance: April 1, 2020 Early registration: April 15, 2020 ECSO - CMS 2020 is jointly organized by the Department of Economics of Ca’ Foscari University of Venice, the CMS Journal and the EURO Working Group on Stochastic Optimization. ECSO 2020 is the 3rd edition of a stream of conferences organized by the EURO Working Group on Stochastic Optimization (EWGSO). The previous editions were held in Paris (2014) and Rome (2017). The scope of the conference is to bring together researchers and professionals in Stochastic Optimization and its applications in different fields spacing from economics and finance to supply chain, logistics, etc. CMS 2020 is the 17th edition of an annual meeting associated with the journal of Computational Management Science published by Springer. The aim of the conference is to provide a forum for theoreticians and practitioners from academia and industry to exchange knowledge, ideas and results in a broad range of topics relevant to the theory and practice of computational methods in management science. This joint event will provide a forum for fruitful discussions and interactions among researchers and professionals from industry and institutional sectors on decision making under uncertainty in a complex world. The conference will be within the scopes of both CMS and EWGSO and, in particular, it will focus on models, methods and computational tools in stochastic, robust and distributionally robust optimization and on computational aspects of management science with emphasis on risk management, valuation problems, measurement applications. Traditional fields of application, such as finance, energy, water management, logistics, supply chain management, and emerging ones, such as healthcare, climate risk and sustainable development, will be included. A Best Student Paper Prize of 600 euro will be awarded. Papers should be nominated via e-mail by the students’ supervisors (ecsocms2020(a)unive.it) Deadline for the submissions to the prize is May 15. The program will include a devoted session for presenting the best papers to compete for the prize, such that the jury could make the final choice. The paper does not have to be published. The papers should be principally authored by the student, but co-authors are permitted as long as their contributions are clarified. Only registered participants’ papers will be considered for the prize. Jury for the Student Best Paper Prize: Stein-Erik Fleten (NTNU Norwegian University of Science and Technology), Milos Kopa (Charles University of Prague), Francesca Maggioni (University of Bergamo), Ruediger Schultz (University Duisburg-Essen). PLENARY SPEAKERS DARINKA DENTCHEVA, Stevens Institute of Technology (USA) DAVID MORTON, Northwestern University (USA) GAH-YI BAN, London Business School (UK) DANIEL KUHN, École polytechnique fédérale de Lausanne (CH) GIORGIO CONSIGLI, Università di Bergamo (I) WARREN POWELL, Princeton University (USA) Conference Secretariat: ecsocms2020(a)unive.it Conference hashtag: #ecsocms2020 Best Regards, Diana Barro, Stein-Erik Fleten and Martina Nardon Organizing and Program Committee Chairs -------------------------------------- Dr. Martina Nardon Dipartimento di Economia Università Ca' Foscari Venezia San Giobbe - Cannaregio, 873 30121 Venezia, Italy tel. +39 041 234 7413 --------------------------------------

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corso di B. Zegarlinski a Pavia - Disuguaglianze funzionali
by Carbone Raffaella 28 Jan '20

28 Jan '20

Cari colleghi, vi annuncio che il prof. Boguslaw Zegarlinski (Imperial College, London) terrà un corso di Dottorato dal titolo ''Introduction to coercive inequalities with applications in analysis and probability theory'' presso il Dipartimento di Matematica dell'Università di Pavia. Il corso si svolgerà nel periodo 22 marzo - 24 aprile 2020, si prevedono 6 ore settimanali tenute (orario provvisorio) il martedì, mercoledì e giovedì mattina. Il corso è finanziato dal Progetto Dipartimenti di Eccellenza del MIUR (2018–2022) - Dipartimento di Matematica “F. Casorati", Università di Pavia. Informazioni più dettagliate seguiranno a breve. Il corso è aperto a tutti ma chiederò di segnalare l'iscrizione tramite mail per motivi organizzativi. Cordiali saluti, Raffaella Carbone -- Raffaella Carbone, PhD Probabilità e Statistica Matematica Dipartimento di Matematica dell'Università degli Studi di Pavia

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Polimi Finance Seminars Paolo Di Tella (TU-Dresden)
by Carlo Sgarra 27 Jan '20

27 Jan '20

On Tuesday, February 11, at 10:30 in the Seminar Room at the third floor of the Department of Mathematics (Politecnico di Milano), in the framework of the quantitative finance seminars, Paolo Di Tella (TU-Dresden) will give a talk with title: * Semistatic and sparse variance-optimal hedging. ABSTRACT We consider the problem of hedging a contingent claim with a “semistatic” strategy composed of a dynamic position in one asset and static (buy‐and‐hold) positions in other assets. We give general representations of the optimal strategy and the hedging error under the criterion of variance optimality and provide tractable formulas using Fourier integration in case of the Heston model. We also consider the problem of optimally selecting a sparse semistatic hedging strategy, i.e., a strategy that only uses a small subset of available hedging assets and discuss parallels to the variable‐selection problem in linear regression. The methods developed are illustrated in an extended numerical example where we compute a sparse semistatic hedge for a variance swap using European options as static hedging assets. (joint work with M. Haubold, M. Keller-Ressel). All people interested are kindly invited to attend the talk. Carlo Sgarra

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PhD in Statistics & Computer Science, Università Bocconi
by Antonio Lijoi 26 Jan '20

26 Jan '20

Cari tutti, ricordo la scadenza del *3 febbraio* per la presentazione delle domande di ammissione al dottorato di ricerca in Statistics and Computer Science presso l'Università Bocconi (a.a. 2020-2021). Vi sarei grato se voleste portare all'attenzione dei vostri studenti interessati la "call for applications", riportata di seguito. Saluti, AL **************************************************** PhD in Statistics and Computer Science 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 3 February, 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. The Faculty includes internationally acknowledged top researchers in Statistics, Computer Science, Decision Theory, Statistical Physics and Machine Learning. The program also benefits from contributions of authoritative visiting professors who deliver short monographic courses. Highly qualified and motivated students with M.Sc. degrees in 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, PhD program director (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

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2020 Bocconi Summer School in Advanced Statistics and Probability
by Giacomo Zanella 23 Jan '20

23 Jan '20

Dear all, we are happy to announce the 2020 edition of the Bocconi Summer School in Advanced Statistics and Probability on the topic of "Reproducibility in Data Science". The main instructor of the course will be Chiara Sabatti, more information below. Please feel free to forward to any potentially interested student. Best regards, Giacomo Zanella ------------------------------------------- The Bocconi Summer School in Advanced Statistics and Probability, on "Reproducibility in Data Science", will take place on July 6-17, 2020, at Villa del Grumello, Lake of Como, Italy. The 2020 Edition of the school is organized by Bocconi University, Milan, in collaboration with the University of Oxford and Imperial College London. Instructors: Chiara Sabatti (Stanford University, USA) Tutorials Stephen Bates (Stanford University, USA) Matteo Sesia (Stanford University, USA) The 2-weeks summer school is open to all interested researchers, but is especially designed for PhD students and possibly briliant master graduates/final year students interested in doctoral studies. The deadline for applications is April 7, 2020. For more information: http://bocconi2020.lakecomoschool.org or contact BBS.statistics(a)unibocconi.it, or sonia.petrone(a)unibocconi.it --------------

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Topics in Game Theory_Prof. Renault (TSE) at PhD EF Tor Vergata
by Davide Erminio Pirino 23 Jan '20

23 Jan '20

Dear all, on behalf of Professor Attar I am pleased to inform you that the PhD program in Economics and Finance <https://economia.uniroma2.it/phd/ef/> of the University of Rome Tor Vergata will host a course in “Topics in Game Theory”, taught by Professor Jérôme <https://www.tse-fr.eu/people/jerome-renault> <https://www.tse-fr.eu/people/jerome-renault>Renault <https://www.tse-fr.eu/people/jerome-renault> (Toulouse School of Economics). The course will be held next February. Professor Jérôme Renault is one of the best renowned mathematician of Game Theory of his generation. Lectures are scheduled in room A (1st floor, Bldg B) of the School of Economics <http://en.uniroma2.it/academics/schools-and-departments/school-of-economics/> as follows: - Mon. February 3, at 2.00 – 5.00 pm; - Tue. February 4, 2.00 – 4.00 pm; - Wed. February 5, 2.00-4.00pm; - Thu. February 6, 10.00 am – 1.00 pm; - Fri. February 7, 9.00 -11.00 am. Please find the Syllabus enclosed. Everybody is welcome to attend. Feel free to spread this information to potentially interested students and researchers. Best regards DP

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Workshop on Stochastic Analysis
by Stefania Ugolini 23 Jan '20

23 Jan '20

Geometry and Algebra in Stochastic Dynamics Department of Mathematics, Milano, 27-29 January 2020 http://users.mat.unimi.it/users/ugolini/workshop2020/ <signaturebeforequotedtext></signaturebeforequotedtext><signatureafterquotedtext></signatureafterquotedtext>

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Probability Seminar: Alessandra Cipriani (TU Delft) [Padova 31/01, 11.30]
by alessandra bianchi 21 Jan '20

21 Jan '20

Dear Colleagues, we would like to invite you to the following Probability seminar that will take place at the Department of Mathematics of Padova, on January 31. ________________________________________________________ Speaker: Alessandra Cipriani (TU Delft) Title: Dynamical fitness models: evidence of universality classes for preferential attachment 31 JANUARY (Friday), 11:30; ROOM 1BC45, Dipartimento di Matematica “Tullio Levi-Civita”, Via Trieste 63, Padova Abstract: In this talk we study different variations of a particular class of random graphs called preferential attachment models with fitness. These are dynamic graphs in which, at every time step, a new node attaches itself to an older one with probability proportional to the degree and a random factor associated to the node, called the fitness. Motivated by learning mechanisms of real-life networks, we assume the fitness to be a Moving Average process MA(q) with positive increments. We study different properties of such models, for example the degree distribution, the attachment probability and the phenomenon of Bose-Einstein condensation. Finally we provide evidence that, tuning the parameters of the fitness process, we fall into two universality classes represented by the well-known Albert-Barabàsi model and Bianconi-Barabàsi model. This implies the robustness of heavy tails in the degree distribution under random perturbations of the attachment rule. All of you are very welcome. Best regards, Alessandra Bianchi -- Alessandra Bianchi Dip. di Matematica Università di Padova Via Trieste, 63 - 35121 Padova, Italy phone: +39 049 827 14 06 fax: +39 049 827 14 28 e-mail: bianchi(a)math.unipd.it http://www.math.unipd.it/~bianchi/

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