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ECSO-CMS 2021 First Call for Papers
by Martina Nardon 01 Dec '21

01 Dec '21

_First Call for Papers_ *Joint EUROPEAN CONFERENCE ON STOCHASTIC OPTIMIZATION and COMPUTATIONAL MANAGEMENT SCIENCE Conference * *7-9 July 2021, Venice, Italy* The organizers are delighted to invite you to ECSO – CMS 2021 that will be held in Venice, Italy, 7-9 July 2021, at the Department of Economics - Ca’ Foscari University of Venice, in the San Giobbe Economics Campus. /This is the rescheduled event for the Conference ECSO – CMS 2020, suspended due to the COVID -19 pandemic emergency. We are planning to organize the conference in presence in 2021./ ECSO - CMS 2021 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 2021 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 2021 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. VENUE: Department of Economics, Ca’ Foscari University of Venice San Giobbe Campus – Cannaregio 873, 30121 Venice, Italy Webpage: www.unive.it/ecsocms2021 <http://www.unive.it/ecsocms2021> Conference Secretariat: ecsocms2021(a)unive.it Conference hashtag: #ecsocms2021 IMPORTANT DATES Abstract submission: *March 31, 2021* Notification of acceptance: *April 20, 2021* Early registration: *April 30, 2021* Conference: J*uly 7-9, 2021* CONFIRMED INVITED SPEAKERS DARINKA DENTCHEVA, Stevens Institute of Technology (USA) DAVID MORTON, Northwestern University (USA) GAH-YI BAN, University of Maryland (USA) DANIEL KUHN, École polytechnique fédérale de Lausanne (CH) GIORGIO CONSIGLI, Università di Bergamo (I) A *prize for the student best paper* will be awarded. Papers should be nominated via e-mail by the students’ supervisors (ecsocms2021(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). We are looking forward to seeing you in Venice. 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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Ph.D Positions at Ulm University in Mathematical Statistics, Mathematical Finance and Data Science
by Imma Curato 01 Dec '21

01 Dec '21

Dear all, a call for Ph.D. positions (Akademische Mitarbeiter) is open at Ulm University in the area of Mathematical Statistics, Mathematical Finance, and Data Science. During the Ph.D. studies is possible to take part in the project "PAC Bayesian bounds for light cone, neighborhood, and trajectories data”, a new investigation on the generalization performance of linear regression applied to spatio-temporal data sets, led by PD Dr. Imma Curato, or to work within the research group of Prof. Dr. Stelzer. The deadline is December 19th. For more information on the position and how to apply see the flyer attached, or please write to imma.curato(a)uni-ulm.de Thanks for sharing the announcement and best wishes to all. Imma Curato

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Webinars PRISMA
by c.ceci＠unich.it 30 Nov '21

30 Nov '21

Buon pomeriggio a tutti, abbiamo il piacere di annunciare il prossimo webinar promosso dal Gruppo UMI PRISMA: - Lunedi’ 6 dicembre 2021 ore 16-18 - ore 16, Giulia Di Nunno Titolo: On time changed Lévy noises in modelling, dynamics and control Abstract: The study of time change lays at the intersection of probability and statistics and have interesting potential in the modelling of different phenomena. These models are appealing, since they seem quite close to classical Lévy structures, often easy to simulate, though they are still statistically very different, as they may loose important properties, such as independent increments and Markovianity. It clearly all depends on the time change applied! When it comes to stochastic calculus, stochastic dynamics, and control, we shall see how the use of the interplay of partial information techniques and enlargement of filtrations can help dealing with such dynamics. - ore 17, Alessandra Cretarola Titolo: Optimal reinsurance and investment under common shock dependence between the financial and the actuarial market Abstract: We study the optimal proportional reinsurance and investment strategy for an insurance company which experiences both ordinary and catastrophic claims and wishes to maximize the expected exponential utility of its terminal wealth. We propose a model where the insurance framework is affected by environmental factors, and aggregate claims and stock prices are subject to common shocks, i.e. drastic events such as earthquakes, extreme weather conditions, or even pandemics, that have an immediate impact on the financial market and simultaneously induce insurance claims. Using the classical stochastic control approach based on the Hamilton-Jacobi- Bellman equation, we provide a verification result for the value function via classical solutions to two backward partial differential equations and characterize the optimal strategy. Finally, we discuss the effect of the common shock dependence via a comparison analysis. Collegamento Teams: https://teams.microsoft.com/l/meetup-join/19%3ad685b25ed15f4821ac5168e63cf9… Tutte le informazioni sui webinars sono pubblicate alla pagina web: http://www.umi-prisma.polito.it/webinars.html Grazie per l’attenzione, Claudia Ceci e Domenico Marinucci

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Corso FREQUENTIST LIMITS FROM BAYESIAN STATISTICS
by Matteo Ruggiero 30 Nov '21

30 Nov '21

Cari colleghi, nell’ambito del programma di Visiting Professors della Laurea Magistrale in Stochastics and Data Science dell’Università di Torino (alla pagina https://www.master-sds.unito.it/go/visiting <https://www.master-sds.unito.it/go/visiting> il programma completo per il presente a.a.), con piacere annunciamo il seguente corso: -------------------------------------- Bas KLEIJN (University of Amsterdam) FREQUENTIST LIMITS FROM BAYESIAN STATISTICS We look at the role that the posterior can play in frequentist statistics, with special attention for large-sample limits. There exists an intimate relationship between hypothesis testing and concentration of posterior measure, which combines with a notion called remote contiguity to obtain frequentist convergence results from sequences of Bayesian posterior measures. We shall cover frequentist forms of posterior consistent estimation, rates of posterior convergence, as well as asymptotic uncertainty quantification by enlargement of credible sets and hypothesis testing/model selection with Bayes factors. Plan of the course: eight lectures of 45 minutes each: Lec I - Bayesian Basics (Frequentist/Bayesian formalisms, estimation, coverage, testing) Lec II - The Bernstein-von Mises theorem (Limit shape in smooth parametric models, semi-parametrics) Lec III - Bayes and the Infinite (Consistency, Doob’s theorem, Schwartz’s theorem) Lec IV - Posterior contraction (Barron, Walker, Ghosh-Ghosal-van der Vaart theorems) Lec V - Tests and posteriors (Testing and posterior concentration, Doob’s theorem) Lec VI - Frequentist validity of Bayesian limits (Remote contiguity and frequentist limits) Lec VII - Posterior uncertainty quantification (How confidence sets arise from credible sets) Lec VIII - Uniform and pointwise tests (Which hypotheses are asymptotically testable and which are not?) Time permitting, we shall also consider Lec IX - Bayesian tests and posterior model selection (Model selection with posteriors, some examples) -------------------------------------- L'iniziativa è rivolta agli studenti del secondo anno della Laurea Magistrale ma la partecipazione è aperta a tutti gli interessati. Il corso si svolgerà in presenza nell’aula 30, terzo piano, C.so Unione Sovietica 218/bis, 10134, Torino (qui https://www.unito.it/ateneo/gli-speciali/coronavirus-aggiornamenti-la-comun… <https://www.unito.it/ateneo/gli-speciali/coronavirus-aggiornamenti-la-comun…> i requisiti per l’accesso come ingressi occasionali) secondo il seguente calendario: - mar 30 Novembre, h.14-16 - mer 1 Dicembre, h.14-16 - mar 7 Dicembre, h.14-16 - gio 9 Dicembre, h.11.15-13 e sarà trasmesso in diretta streaming (senza registrazione) tramite la seguente riunione Webex, valida per tutte le lezioni: https://unito.webex.com/unito/j.php?MTID=m508322b370362bfd0618d768e4772ac0 <https://unito.webex.com/unito/j.php?MTID=m508322b370362bfd0618d768e4772ac0> Numero riunione: 2733 233 8719 Password: 9ahN5DGFRU3 Cordiali saluti, Matteo Ruggiero --- Matteo Ruggiero University of Torino and Collegio Carlo Alberto www.matteoruggiero.it <http://www.matteoruggiero.it/>

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one-world-probability-seminar
by Franco Flandoli 30 Nov '21

30 Nov '21

Segnalo i due seminari di questa settimana: Alessandra Caraceni and Alexandre Stauffer,* Edge flip Markov chains on triangulations and random planar maps* Date: 2021-12-02 Time: 14:00-16:00 UTC <https://www.google.com/url?q=https%3A%2F%2Fwww.timeanddate.com%2Fworldclock…> https://www.owprobability.org/one-world-probability-seminar/future-seminars

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Fw:I: 23rd Workshop on Quantitative Finance - Rome 27-28 January 2022 - second call for papers (fwd)
by Tiziano Vargiolu 29 Nov '21

29 Nov '21

Da: Davide Pirino <davide.pirino(a)gmail.com> Inviato: venerd? 26 novembre 2021 16:09 Apologies for cross-posting Dear colleagues, This is a gentle reminder on the Call for Papers of the XXIII Workshop on Quantitative Finance, which will be held in Rome (in presence) on January 27-28, 2022. The deadline for submitting extended abstracts is next Tuesday, 30th November, 2021 (the call for paper and all deadlines can be found in the attached document). Abstract must be submitted through an online procedure at the following webpage: https://qfw2022.it/registration/ Registration - XXII Workshop on Quantitative Finance qfw2022.it The Annual meeting whose purpose is to stimulate discussion on theoretical and practical aspects of Quantitative Finance Information on the workshop is available here: https://qfw2022.it/en/ XXII Workshop on Quantitative Finance qfw2022.it The Annual meeting whose purpose is to stimulate discussion on theoretical and practical aspects of Quantitative Finance On behalf of the organizing committee.

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23rd Workshop on Quantitative Finance - Rome 27-28 January 2022 - second call for papers
by Davide Pirino 26 Nov '21

26 Nov '21

Apologies for cross-posting Dear colleagues, This is a gentle reminder on the Call for Papers of the XXIII Workshop on Quantitative Finance, which will be held in Rome (in presence) on January 27-28, 2022. The deadline for submitting extended abstracts is next Tuesday, 30th November, 2021 (the call for paper and all deadlines can be found in the attached document). Abstract must be submitted through an online procedure at the following webpage: https://qfw2022.it/registration/ Information on the workshop is available here: https://qfw2022.it/en/ On behalf of the organizing committee.

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Data Science and biology
by Enrico Scalas 26 Nov '21

26 Nov '21

Care colleghe e colleghi, Con preghiera di diffusione, Vi segnalo questa posizione di dottorato all'Universita' del Sussex: https://southcoastbiosciencesdtp.ac.uk/project/using-ai-and-big-data-to-ide… Le persone interessate possono mettersi in contatto con Frances Pearl: https://profiles.sussex.ac.uk/p140897-frances-pearl Cordiali saluti, Enrico Scalas

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Bando RTDB 13/D1 Politecnico di Milano
by Laura Maria Sangalli 26 Nov '21

26 Nov '21

Si comunica che alla pagina https://www.polimi.it/it/docenti-e-staff/bandi-e-concorsi/bandi-e-concorsi-… è pubblicato il bando per una posizione RTDB nel Settore Concorsuale 13/D1 - STATISTICA. Cordialmente, Laura Sangalli —— Laura Maria Sangalli MOX - Dipartimento di Matematica Politecnico di Milano Piazza Leonardo da Vinci 32 20133 Milano - Italy tel: +39 02 2399 4554 fax: +39 02 2399 4568 email: laura.sangalli(a)polimi.it<mailto:laura.sangalli@polimi.it> url: http://mox.polimi.it/~sangalli

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New Post-Doc position at SNS: "Mean Field Games aspects of training residual networks".
by Giulia Livieri 25 Nov '21

25 Nov '21

Dear all, A call for a 12 month research contract is open at the Scuola Normale Superiore, Pisa (Italy). I would like to stress that - differently from the previous call - the Ph.D is not required in order to apply for the position. The topic of the research is “Mean Field Games aspects of training deep neural networks and the use of deep neural networks for solving Mean Field Games” and it is part of the project “Mean Field Games aspects of training residual networks”. In particular, the research will be focused on the study of the training of deep neural network via the Mean Field Games approach and/or on the use of deep neural network to solve Mean Fields Games problems. A special emphasis will be put on the mathematical aspects of the two approaches. The research will be developed under the direction of the scientific director Dr. Giulia Livieri. Duration of the contract: 1 year, Annual gross remuneration, inclusive of all taxes: € 29,000 The details of the call (in Italian and English) are available at https://amministrazionetrasparente.sns.it/scuola/opportunità-offerte-dalla-… The deadline is December 23, 2021. In case you need more information, please contact Giulia Livieri (*giulia.livieri(a)sns.it* <giulia.livieri(a)sns.it>) Thanks and all the best, Giulia Livieri

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