November 2020 - Random - Mailing list — Dipartimento di Matematica, UniPI

Concorso da RTDb di MAT/06 a Padova - scadenza 25/8/2016
by Marco Ferrante 25 Jun '24

25 Jun '24

Cari colleghi, vi segnalo che il Dipartimento di Matematica dell'Università di Padova ha bandito un posto di ricercatore di tipo B nel settore MAT/06. Il bando è disponibile alla pagina http://www.math.unipd.it/it/news/?id=1898 La scadenza per la presentazione delle domande è il 25 agosto 2016. Marco Ferrante

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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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Announcement: STAR Online seminar - Speaker: Rama Cont
by michele giordano 25 Jan '21

25 Jan '21

Dear all, This is a reminder for the: STAR Online Seminars. The seminar will be held Friday 13. November from 11:00-12:00 . You will recieve the link for the Zoom room by registering for the seminar with the link provided at the end of this mail. The lecture will last for 45 minutes + questions. This week's speaker is Rama Cont - University of Oxford, with the seminar: Excursion risk Abstract: A broad class of dynamic trading strategies may be characterized in terms of excursions of the market price of a portfolio away from a reference level. We propose a mathematical framework for the risk analysis of such strategies, based on a description in terms of price excursions, first in a pathwise setting, without probabilistic assumptions, then in a probabilistic setting, when the price is modelled as a Markov process. We introduce the notion of δ-excursion, defined as a path which deviates by δ from a reference level before returning to this level. We show that every continuous path has a unique decomposition into such δ-excursions, which turn out to be useful for the scenario analysis of dynamic trading strategies, leading to simple expressions for the number of trades, realized profit, maximum loss and drawdown. When the underlying asset follows a Markov process, we combine these results with Ito's excursion theory to obtain a tractable decomposition of the process as a concatenation of independent δ-excursions, whose distribution is described in terms of Ito's excursion measure. We provide analytical results for linear diffusions and give new examples of stochastic processes for flexible and tractable modeling of excursions. Finally, we describe a non-parametric scenario simulation method for generating paths whose excursions match those observed in a data set. This is joint work with: Anna Ananova and RenYuan Xu. After the end of the seminar, you are invited to bring a cup of coffee/tea and have a chat in our Coffee in the Stars here you will have the chance to talk and interact with the other persons that attended the seminar, and have a digital "coffee break". We are looking forward to see you, online! Best regards, We are looking forward to see you, online! Best regards, Michele Giordano Doctoral research fellow Department of Mathematics University of Oslo, Norway ------------------------------------------------------------------------- Register for the seminar: https://nettskjema.no/a/159180 Link for the seminar webpage: https://www.mn.uio.no/math/english/research/projects/storm/events/seminars/…

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LTI@UniTO seminar Wednesday November 25, 3pm, Albert Menkveld (VU Amsterdam)
by Luca Regis 09 Dec '20

09 Dec '20

|| || |Dear colleagues, | ||||||| LTI@UniTO (www.carloalberto.org/lti <www.carloalberto.org/lti>) and Collegio Carlo Alberto are pleased to invite you to the following webinar in Finance: | | “Equilibrium Bid-Price Dispersion” Speaker: Albert Menkveld (VU Amsterdam), _https://albertjmenkveld.com/about/ <https://albertjmenkveld.com/about/> _ Abstract: If bidding in a common-value auction is costly and if bidders do not know how many others are also bidding, all equilibria are in mixed strategies. Participation is probabilistic and bid prices are dispersed. The symmetric equilibrium is unique and yields simple analytic expressions. We use them to, for example, show that bid prices exhibit negative skewness. The expressions are further used to estimate the model based on bidding on an S&P500 security. We find that the number of bidders declined over time, making liquidity supply fragile. You can join the webinar via zoom at the following link: | https://us02web.zoom.us/j/81439851376?pwd=YUFsWXFvNldTaEMrTW55VE5kaXJiQT09 <https://us02web.zoom.us/j/81439851376?pwd=YUFsWXFvNldTaEMrTW55VE5kaXJiQT09> Meeting ID: 814 3985 1376 Passcode: 753282 Best regards, Luca Regis -- Luca Regis Associate Professor Department of Economics and Statistics (ESOMAS) University of Torino sites.google.com/view/lucaregis Office: +39 011 670 6065 www.carloalberto.org/lti ||

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seminar series on Mathematics of Reaction Networks
by Daniele Cappelletti 07 Dec '20

07 Dec '20

Dear colleagues, This mail is to announce a new online seminar series on the “Mathematics of Reaction Networks” (MoRN). Reaction networks are mathematical models mainly used in biochemistry, with the scope of describing the dynamics of particles of different kinds that interact in a homogeneous environment. The mathematics used to study these models sits at the interface of stochastic process theory, algebra, graph theory, analysis. The seminar will take place twice a month over zoom (Thursday on the 2nd and 4th week of the month, 17.00 Rome time), and consist of two 25-minute long talks followed by longer discussions. The exciting program for the first three sessions is available on the seminar page: https://researchseminars.org/seminar/MoRN The first two talks will be given on Thursday November 12 by David Anderson from the University of Wisconsin-Madison (he will talk about connections between neural networks and the modeling regime of reaction networks) and Lea Popovic from Concordia University (she will introduce a multiscale stochastic model for interacting particles in a heterogeneous environment, and study its fluid limit). More details are given in the seminar webpage. New talks will appear on the seminar webpage, as well as the zoom link. If the speaker agrees, talks will be recorded and added to youtube with a private link, and the link will be shared on the seminar webpage. On the webpage you can subscribe to a mailing list, and you can add the seminar into your calendar. We will send a reminder two days before each talk to subscribed people. Best wishes, Daniele Cappelletti (co-organizing the seminar series with Elisenda Feliu and Stefan Mueller)

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Fwd: Annuncio seminario presso la Universitá Carlos III di Madrid
by Antonio DI CRESCENZO 30 Nov '20

30 Nov '20

---------- Forwarded message --------- Da: BERNARDO D AURIA . <bdauria(a)est-econ.uc3m.es> Date: lun 30 nov 2020 alle ore 09:24 Subject: Annuncio seminario presso la Universitá Carlos III di Madrid Good morning to everybody, I would like to inform you of an online Research Seminar scheduled for this Friday at the Department of Statistics of the Madrid University Carlos III: *Date*: Friday, December 4 *Time*: 1:00 p.m. *Speaker*: Tiziano de Angelis (Università di Torino) *Title*: *An analytical study of participating policies with minimum guaranteed and surrender option* The link to attend through the BB Collaborate platform is: https://eu.bbcollab.com/guest/b1b6ef4d6f734be7bc233c49ceefe5f8 For more information on this and other Department seminars please look at: http://www.est.uc3m.es/seminarios/ Regards Bernardo D'Auria Associate Professor Madrid University Carlos III de Madrid http://www.est.uc3m.es/bdauria 📞 +34 91 624 8804 📠 +34 91 624 8749

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new deadline- Special Issue "Stochastic Optimization Methods in Economics, Finance and Insurance"
by c.ceci＠unich.it 27 Nov '20

27 Nov '20

Dear all, we are glad to inform you that submissions for the Special Issue "Stochastic Optimization Methods in Economics, Finance and Insurance" on Mathematics (https://www.mdpi.com/journal/mathematics) are open. The following is the official website: https://www.mdpi.com/journal/mathematics/sections/financial_mathematics Research articles, reviews, communications and concept papers will be considered. The deadline is now postponed to 30 April 2021. Since Mathematics is an open access journal, there is a fee (1200 CHF) to be paid at acceptance. Short description of the Special Issue: Stochastic optimization finds numerous and various applications in economics, finance and insurance. Among these, we may cite optimal portfolio selection, optimal reinsurance and investment problems, utility maximization and application to valuation of financial and insurance derivatives, optimal management of pension fund and public debt, risk measures. This Special Issue aims at collecting original research papers or comprehensive reviews on the theory and applications of dynamic stochastic optimization in economics, finance and insurance. Advanced mathematical tools have been employed to handle with these problems including viscosity solutions approach, martingale methods, backward stochastic differential equations (BSDEs), partial differential equations (PDEs), convex duality, filtering techniques and various numerical methods. Applications different from stochastic optimization will be possibly considered. If you have any questions, please do not hesitate to contact us. Please apologize for cross-posting. Guest Editor: Prof. Claudia Ceci Co-Guest Editor: Dr. Matteo Brachetta

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Tenure-track position at the Assistant Professor level in Stochastics at Berkeley
by Ferrari, Giorgio 26 Nov '20

26 Nov '20

Dear All, please find below an advertisement for a tenure-track position at the Assistant Professor level in Stochastics at The DEPARTMENT OF INDUSTRIAL ENGINEERING & OPERATIONS RESEARCH (IEOR) at the University of California, Berkeley. All the best wishes, Giorgio Ferrari %%%%%%%%%%%%%%%%%%%%%%% *Advertisement 8/31/20* The DEPARTMENT OF INDUSTRIAL ENGINEERING & OPERATIONS RESEARCH (IEOR) at the University of California, Berkeley, welcomes applications from qualified researchers for a position in the broad area of stochastics, with research interests in topics such as probability, machine learning, stochastics modeling, financial engineering and technology, and data science, for a *tenure-track faculty position at the Assistant Professor level* with an expected start date of July 1, 2021. Applicants are encouraged to apply by October 15, 2020, as the department intends to invite some applicants for initial remote/videoconference interviews on a rolling basis before the final deadline of December 1, 2020. *All applications received by December 1 will receive full consideration.* The UC Berkeley Industrial Engineering and Operations Research Department is at the forefront of research and teaching of stochastics, optimization, production, and applying these fundamentals to industrial applications in areas such as healthcare, logistics, energy, security, finance, and e- commerce. The IEOR Department has strong ties with other departments in the UC Berkeley College of Engineering and enjoys close relationships with the faculties of Statistics, Mathematics, and Economics, as well as with the Haas School of Business. Our interdisciplinary program also offers outstanding opportunities for collaboration with technologists and companies in the greater Bay Area. The IEOR department offers BA, BS, MS, MEng, and PhD degrees. To learn more about our department please visit https://ieor.berkeley.edu. This exceptional environment for teaching and research will provide the successful candidate with unique opportunities for intellectual and technological leadership. Diversity, equity, and inclusion are core values at UC Berkeley and IEOR. Our excellence can only be fully realized by faculty, students, and staff who share our commitment to these values. Successful candidates for our faculty positions will demonstrate evidence of a commitment to advancing equity and inclusion. Financial and in-kind resources are available to pursue activities that help accelerate our efforts to achieve our equity and inclusion goals, with the full backing of the College. Examples of ongoing programming at the College are available at https://engineering.berkeley.edu/diversity. _Candidates with the following qualifications are encouraged to apply_: - Excellent original research in relevant topics - Clear vision for future original research in relevant topics - Ability and enthusiasm for teaching relevant courses - Excellent communication skills and enthusiasm for advancing diversity and collaboration. At the time application, applicants must have completed or, be in the process of completing a PhD or an equivalent international degree. The ideal candidate will have a record of excellent original research in relevant areas and experience with state-of-the-art methods, tools, and software. The ideal candidate will also be able to make a convincing case for his or her vision for future innovations in research and teaching, as well as have the enthusiasm and ability to work with industry and colleagues to raise funds to support such research. *Qualified candidates may apply using the following link:* https://aprecruit.berkeley.edu/JPF02652. All recommendation letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC statement on confidentiality (http://apo.berkeley.edu/evalltr.html) prior to submitting their letters. *The deadline for applications is December 1, 2020. * Candidates will be reviewed on an ongoing basis, and early application is recommended. _For questions regarding this position, please contact IEOR manager:_ Rebecca Pauling, rpauling(a)berkeley.edu The University is committed to addressing the family needs of faculty members, including dual career couples and single parents. For information about potential relocation to Berkeley, or career needs of accompanying partners and spouses, please visit: http://ofew.berkeley.edu/new-faculty. The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age or protected veteran status. For the complete University of California nondiscrimination and affirmative action policy see: http://policy.ucop.edu/doc/4000376/NondiscrimAffirmAct (link is external).

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1-year postdoc positions at Leeds
by Antonio DI CRESCENZO 25 Nov '20

25 Nov '20

---------- Forwarded message --------- Da: Martin Lopez Garcia <M.LopezGarcia(a)leeds.ac.uk> Subject: 1-year postdoc positions at Leeds Dear colleagues, Hope you are all well. We are looking for two postdoctoral fellows at Leeds to do some modelling of COVID-19 infection transmission, using Quantitative Microbial Risk Assessment approaches. More information about these projects/positions can be found at https://jobs.leeds.ac.uk/vacancy.aspx?ref=EPSCV1024 I would appreciate if you could circulate this around, or share with potential candidates you may think of. Thanks very much, Best wishes, Martin ----------------------------------------------------------------------------------------------------- Dr Martin Lopez-Garcia Lecturer & School Academic Lead for Inclusive Practice Department of Applied Mathematics (Office 10.18d), School of Mathematics, University of Leeds Leeds LS2 9JT, U.K. Phone: +44 (0)113-343-8951 Email: M.LopezGarcia(a)leeds.ac.uk Web: https://matml.github.io/ Google Scholar: https://scholar.google.com/citations?user=U4VkcxYAAAAJ&hl=es Research Gate: https://www.researchgate.net/profile/Martin_Lopez-Garcia2 Have a look at the video games "Hospital Infections" https://matml.github.io/#videogames

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Invitation letter EFI6 (fwd)
by Tiziano Vargiolu 25 Nov '20

25 Nov '20

---------- Forwarded message ---------- Date: Tue, 24 Nov 2020 21:39:58 +0100 From: Paolo Falbo <paolo.falbo(a)unibs.it> Dear All, we are glad to announce the sixth edition of Energy Finance Italia. The conference will be organized by the Department of Economics and Management of the University of Brescia and will take place on February 22-23, 2021. Due to the COVID-19 pandemic, at the moment we still cannot decide the format of the conference, whether fully online or hybrid. In any case, we will ta ke that decision in due time, and we will communicate it by means of our web site and our newsletter. The deadline for the submission of a long abstract (max two pages) is January 18, 2021. Notification of acceptance: January 28, 2021. Registration and payment of fees: February 8, 2021. All the information at the link http://energyfinanceitalia.unicam.it/index.php/energy-finance-italia-6-work… Best regards, Paolo Falbo on behalf of the Organizing Committee

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call for papers - special issue
by Roy Cerqueti 23 Nov '20

23 Nov '20

Dear all, please, circulate this call for papers, that can be of interest for some colleagues. Sorry for cross-posting. Thanks, yours sincerely Roy %%% Dear Colleagues, We are glad to announce a “Stats” Special Issue on “Benford's Law(s) and Applications”. We are inviting manuscripts on Benford's Law(s) theory, testing, and applications in widely different scientific contexts. Suitable manuscripts may include but are not limited to the Benford's Law(s) for fraud detection and assessment of data quality and reliability; conformance tests; applications in and outside accounting; theoretical foundations. The purpose of this Special Issue is to collect in a single source, for better visibility, recent theoretical and applied advancements in a still progressing field. Keywords • Benford's Law(s) • Theoretical foundations of Benford's Law(s) • Fraud detection • Data quality and reliability • Conformance tests • Forensic accounting The deadline is October 30th, 2021. For details, see https://www.mdpi.com/journal/stats/special_issues/benford_law We look forward to receiving your submissions. Prof. Dr. Claudio Lupi Prof. Dr. Roy Cerqueti Prof. Dr. Marcel Ausloos Guest Editors -- ________________________________________________________ Le informazioni contenute in questo messaggio di posta elettronica sono strettamente riservate e indirizzate esclusivamente al destinatario. Si prega di non leggere, fare copia, inoltrare a terzi o conservare tale messaggio se non si è il legittimo destinatario dello stesso. Qualora tale messaggio sia stato ricevuto per errore, si prega di restituirlo al mittente e di cancellarlo permanentemente dal proprio computer. The information contained in this e mail message is strictly confidential and intended for the use of the addressee only. If you are not the intended recipient, please do not read, copy, forward or store it on your computer. If you have received the message in error, please forward it back to the sender and delete it permanently from your computer system. --

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Online seminar Francesca Parise
by Marco Scarsini 20 Nov '20

20 Nov '20

Thursday 26 November, h 17:00 *Francesca Parise,* Cornell University Analysis and Interventions in Large Network Games: Graphon Games and Graphon Contagion Discussants: Giacomo Como, Daniel Cooney, Mathieu Lauriere. Click here to access the Virtual Room <http://mailsender.luiss.it/lists/lt.php?id=cRpRCgYHSAUHAAFOVgFdBQs> The papers can be found here: https://arxiv.org/abs/1802.00080 https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3674691 Information about future seminars can be found here: https://economiaefinanza.luiss.it/seminari/prossimi-seminari ******************************************************* Marco Scarsini Dipartimento di Economia e Finanza Luiss Viale Romania 32 00197 Roma, ITALY URL: http://docenti.luiss.it/scarsini/

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(Corrected) Pisa Online Seminars - Alessandra Cipriani and Trishen Gunaratnam (Tuesday, Nov. 24 at 14:00 and 15:00)
by Giacomo Filippo Di Gesu 19 Nov '20

19 Nov '20

I mistakenly sent you twice the same abstract yesterday. Please find below the correct version. Best, Giacomo **************** Dear colleagues, I would like to announce the following online seminar organized by the Probability group of the University of Pisa. The talks will be accessible under the link Click here to join the meeting<https://teams.microsoft.com/l/meetup-join/19%3a17115d7f6ef44c5e91974362906c…> Tuesday, Nov. 24, 14:00 Speaker: Alessandra Cipriani (TU Delft) Title: Some properties of the discrete membrane model Abstract: The discrete membrane model (MM) is a random interface model for separating surfaces that tend to preserve curvature. It is a very close relative of the discrete Gaussian free field (DGFF), for which instead the most likely interfaces are those preserving the mean height. However working with the two models presents some key differences, in that in the MM the shape is driven by the biharmonic operator, while the DGFF is essentially a Gaussian perturbation of harmonic functions. In particular, a lot of tools (electrical networks, random walk representation of the covariance) are available for the DGFF and lack in the MM. In this talk we will review some basic properties of the MM, and we will investigate a random walk representation for the covariances of the MM and what it can bring forth in terms of scaling limits of its extremes. This talk is based on joint works, partly ongoing, with Biltu Dan, Rajat Subhra Hazra (ISI Kolkata) and Rounak Ray (TU/e). Tuesday, Nov. 24, 15:00 Speaker: Trishen Gunaratnam (Université de Genève) Title: Phase transitions for $\phi^4_3$ Abstract: In this talk I will discuss recent results obtained in joint work with Ajay Chandra (Imperial) and Hendrik Weber (Bath) about the large-scale behaviour of the $\phi^4_3$ Euclidean field theory. In particular, I will discuss a surface order large deviations estimate for the average magnetisation at sufficiently low temperatures in large but finite volumes. This is a manifestation of phase transition, which is well-known for this model. As a byproduct of this, one can quantify a breakdown of ergodicity for the Glauber dynamics of this model - given by the dynamical $\phi^4_3$ singular SPDE - for sufficiently low temperatures in the infinite volume limit.

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Pisa Online Seminars - Alessandra Cipriani and Trishen Gunaratnam (Tuesday, Nov. 24 at 14:00 and 15:00)
by Giacomo Filippo Di Gesu 18 Nov '20

18 Nov '20

Dear colleagues, I would like to announce the following online seminar organized by the Probability group of the University of Pisa. The talks will be accessible under the link Click here to join the meeting<https://teams.microsoft.com/l/meetup-join/19%3a17115d7f6ef44c5e91974362906c…> Best regards, Giacomo Tuesday, Nov. 24, 14:00 Speaker: Alessandra Cipriani (TU Delft) Title: Some properties of the discrete membrane model Abstract: In this talk I will discuss recent results obtained in joint work with Ajay Chandra (Imperial) and Hendrik Weber (Bath) about the large-scale behaviour of the $\phi^4_3$ Euclidean field theory. In particular, I will discuss a surface order large deviations estimate for the average magnetisation at sufficiently low temperatures in large but finite volumes. This is a manifestation of phase transition, which is well-known for this model. As a byproduct of this, one can quantify a breakdown of ergodicity for the Glauber dynamics of this model - given by the dynamical $\phi^4_3$ singular SPDE - for sufficiently low temperatures in the infinite volume limit. Tuesday, Nov. 24, 15:00 Speaker: Trishen Gunaratnam (Université de Genève) Title: Phase transitions for $\phi^4_3$ Abstract: In this talk I will discuss recent results obtained in joint work with Ajay Chandra (Imperial) and Hendrik Weber (Bath) about the large-scale behaviour of the $\phi^4_3$ Euclidean field theory. In particular, I will discuss a surface order large deviations estimate for the average magnetisation at sufficiently low temperatures in large but finite volumes. This is a manifestation of phase transition, which is well-known for this model. As a byproduct of this, one can quantify a breakdown of ergodicity for the Glauber dynamics of this model - given by the dynamical $\phi^4_3$ singular SPDE - for sufficiently low temperatures in the infinite volume limit.

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1.12.2020: Workshop dedicated to the memory of Professor Yuriy Kozachenko
by Luisa Beghin 18 Nov '20

18 Nov '20

Ricevo e inoltro Cordiali saluti. Luisa Beghin We would like to announce the International Workshop "Modern Trends in Probability Theory and Mathematical Statistics III" dedicated to the memory of Professor Yuriy Kozachenko (1.12.1940–5.05.2020). The Workshop will be held on 1 December 2020 from 14:00 to 19:00 Kyiv time (UTC/GMT + 2). The Workshop is organized by the Department of Probability, Statistics and Actuarial Mathematics of Taras Shevchenko National University of Kyiv. Invited Speakers: Giulia Di Nunno (Norway), Rita Giuliano-Antonini (Italy), Alexander Ivanov (Ukraine), Nikolai Leonenko (UK), Andriy Olenko (Australia), Enzo Orsingher (Italy), Vladimir Piterbarg (Russian Federation), Lyudmyla Sakhno (Ukraine), Tommi Sottinen (Finland), Andrei Volodin (Canada). The Workshop will be conducted virtually via Zoom meeting. We invite you to join the Workshop. Please find the program and connection details on the website http://probability.univ.kiev.ua/moderntrends3/ We kindly ask you to share this information among your colleagues, if you find this appropriate. Thank you. Best regards, organizers of the Workshop Prof. Yuliya Mishura Dr. Lyudmyla Sakhno -- Taras Shevchenko National University of Kyiv Department of Probability Theory, Statistics and Actuarial Mathematics 64/13, Volodymyrska St., 01601 Kyiv, Ukraine Tel/fax: (+380-44) 259-03-92 *************************************************************** Luisa Beghin Dipartimento di Scienze Statistiche Fac. Ingegneria dell'Informazione, Informatica e Statistica "SAPIENZA" Università di Roma Piazzale Aldo Moro 5, 00185 Roma T (+39) 06 49910543 F (+39) 06 4959241 https://sites.google.com/site/luisabeghin/ ***************************************************************** -- ________________________________________________________ Le informazioni contenute in questo messaggio di posta elettronica sono strettamente riservate e indirizzate esclusivamente al destinatario. Si prega di non leggere, fare copia, inoltrare a terzi o conservare tale messaggio se non si è il legittimo destinatario dello stesso. Qualora tale messaggio sia stato ricevuto per errore, si prega di restituirlo al mittente e di cancellarlo permanentemente dal proprio computer. The information contained in this e mail message is strictly confidential and intended for the use of the addressee only. If you are not the intended recipient, please do not read, copy, forward or store it on your computer. If you have received the message in error, please forward it back to the sender and delete it permanently from your computer system. --

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Tenure-Track Assistant Professor in Probability - TU Eindhoven
by Pietro Caputo 18 Nov '20

18 Nov '20

Ricevo e inoltro: ------------------- *Tenure-Track Assistant Professor in Probability* The Statistics, Probability and Operations Research (SPOR) cluster of the Department of Mathematics and Computer Science at Eindhoven University of Technology (TU/e) invites applications for a full-time tenure-track position in the area of Probability. For details, see https://jobs.tue.nl/en/vacancy/tenuretrack-assistant-professor-in-probabili…

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Padova Online Seminar by Alessandro Zocca (Vrije Universiteit Amsterdam) [Friday, Nov. 27 at 11.30]
by alessandra bianchi 17 Nov '20

17 Nov '20

Dear Colleagues, We would like to invite you to the following Probability seminar that will take place on November 27 at 11.30 by the zoom platform. ________________________________________________________ Speaker: Alessandro Zocca (Vrije Universiteit Amsterdam) Title: Power grids as stochastic networks: emergent failures and mitigation strategies 27 NOVEMBER (Friday) - 11:30 zoom link: TBA (available on the webpage https://www.math.unipd.it/~bianchi/seminari/ ) Abstract: Power grids are one of the most complex and critical networks in modern-day society, which we expect to function reliably at all times. The increasing adoption of renewable energy sources such as solar panels and wind turbines, introduces a massive amount of uncertainty into power grids, due to their intrinsically intermittent and highly variable nature. In this talk I will give an overview of my current research, which aims to develop new mathematical tools to analyze power grids and their performance in the presence of uncertainty. Stochastic fluctuations of the power injections affect line flows and phase angle frequencies, and, when amplified by correlations and network effects, they can cause failures and possibly blackouts. Large deviations techniques and ad-hoc MCMC methods allow us to better understand how these emergent failures occur and to estimate their likelihood. A peculiar feature of cascading failures in power grids is that they propagate nonlocally, making the control and mitigation of these failures extremely hard. I will illustrate a novel strategy we devise using tools from graph theory, spectral clustering, and optimization to mitigate the impact of line failures and their non-local propagation. -- 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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Six-year PhD position at TU Delft
by Elena Pulvirenti 16 Nov '20

16 Nov '20

Dear all, the Institute of Applied Mathematics at *TU Delft* invites applications for a *Six-year PhD position in Applied Probability and Mathematical Physics*. We are looking for a highly motivated candidate to work on the project *“Statistical mechanics problems on random graphs”* in a joint collaboration under the supervision of Dr. J.L.A. Dubbeldam, Associate professor in the *Mathematical Physics* group and Dr. E. Pulvirenti, Assistant professor in the *Applied Probability* group of Delft Institute of Applied Mathematics (DIAM). The research work for the future PhD candidate focuses on metastability for spins models on random graphs, both from the perspective of theoretical probability and numerical simulations. In addition to the research work, the student is expected to teach (40% of the work load). This position is meant for a candidate who also wants to acquire teaching skills and contribute to the educational program of TU Delft. Therefore the position is for 6 years. See https://www.tudelft.nl/over-tu-delft/werken-bij-tu-delft/vacatures/details/… for more details. For information about this vacancy, you can contact both J.L.A. Dubbeldam, email: JLADubbeldam(a)tudelft.nl, and E. Pulvirenti, email: E.Pulvirenti(a)tudelft.nl. To apply for this vacancy, please provide *before 12/12/2020*: - a detailed CV (optional: including papers you have submitted / published) - a list of courses taken and grades obtained - a copy of your Master's thesis (or a draft if not yet submitted) - contact information for 2-3 references - motivation letter (explaining why you would make an excellent candidate for this position) Best regards, Elena Pulvirenti

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I: Assegni di ricerca SNS
by Massimo Campanino 16 Nov '20

16 Nov '20

________________________________ Da: Giovanni Dore <giovanni.dore(a)unibo.it> Inviato: lunedì 16 novembre 2020 12:54 A: Dipartimento di Matematica — docenti di struttura e sottostrutture <mat.docenti.all(a)unibo.it> Oggetto: Assegni di ricerca SNS Cari colleghi, comunico che la Scuola Normale Superiore ha bandito 5 assegni di ricerca in ambito matematico. Il bando è disponibile all’indirizzo https://amministrazionetrasparente.sns.it/bando/assegni-di-ricerca-denomina… Cordiali saluti Giovanni Dore

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PhD in Statistics & Computer Science @Bocconi - call for applications
by Antonio Lijoi 16 Nov '20

16 Nov '20

******************* PhD in Statistics and Computer Science - a.y. 2021-2022 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 for detailed information. ** Applications are due by February 1, 2021 ** 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 and feel free to contact: Antonio Lijoi (antonio.lijoi(a)unibocconi.it) Angela Baldassarre, PhD administrative assistant (angela.baldassarre(a)unibocconi.it) ------ Antonio Lijoi Bocconi University http://mypage.unibocconi.eu/antoniolijoi/

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Fwd: 3 postdoctoral positions in Mathematics, Computer Science and interactions in Lyon & Saint-Étienne: 2021 campaign Labex Milyon
by Pietro Caputo 14 Nov '20

14 Nov '20

Ricevo e inoltro: ---------- Forwarded message --------- From: sabot(a)math.univ-lyon1.fr <sabot(a)math.univ-lyon1.fr> Date: Fri, Nov 13, 2020, 20:02 Subject: 3 postdoctoral positions in Mathematics, Computer Science and interactions in Lyon & Saint-Étienne: 2021 campaign Labex Milyon Dear Colleagues, Could you please forward this message to interested colleagues and potential candidates (sorry for the inconvenience if you already received it) Best regards, Christophe Sabot Responsible of the Labex Milyon ----------------------------------------------------------------------------------------------------------------------------- The Excellence Laboratory Milyon <https://milyon.universite-lyon.fr/labex-milyon-mathematics-and-theoretical-…> (Labex Milyon) opens the 2021 campaign of postdoctoral researchers in Lyon--Saint-Etienne in Mathematics, Computer Science and their interactions (including some aspects of theoretical physics). *Milyon offers three postdoctoral positions of two years* with no teaching load for the period 2021–2023. The application is open to all research areas of the labex Milyon (see here <https://milyon.universite-lyon.fr/about-research-126697.kjsp?RH=EN-MILYON-9…> ). More information on the link below: https://milyon.universite-lyon.fr/postdoctoral-positions-2021-2023--130160.… Deadline for applications: January 6th 2021

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Webinar of François Caron @ Unimib
by Federico Camerlenghi 13 Nov '20

13 Nov '20

Dear all, We are glad to announce the next DEMS webinar: Wednesday, 18th November 2020, time 13.00 (CET). link to attend: https://unimib.webex.com/unimib/onstage/g.php?MTID=eadc0aefcf2b20a4d5b65dfc… The speaker is *François Caron*, Department of Statistics, University of Oxford (UK). ******************************************************* *TITLE*. *A unified construction for series representations and finite approximations of completely random measures* *ABSTRACT*. Infinite-activity completely random measures (CRMs) have become important building blocks of complex Bayesian nonparametric models. They have been successfully used in various applications such as clustering, density estimation, latent feature models, survival analysis or network science. Popular infinite-activity CRMs include the (generalized) gamma process and the (stable) beta process. However, except in some specific cases, exact simulation or scalable inference with these models is challenging and finite-dimensional approximations are often considered. In this work, we propose a general and unified framework to derive both series representations and finite-dimensional approximations of CRMs. Our framework can be seen as a generalization of constructions based on size-biased sampling of Poisson point process [Perman et al., 1992]. It includes as special cases several known series representations and finite approximations as well as novel ones. In particular, we show that one can get novel series representations for the generalized gamma process and the stable beta process. We show how these constructions can be used to derive novel algorithms for posterior inference, including a generalization of the slice sampler for normalized CRMs mixture models introduced by Griffin and Walker [2011]. We also provide some analysis of the truncation error. Joint work with Juho Lee and Xenia Miscouridou https://arxiv.org/abs/1905.10733 *Details to attend the webinar.* Event number (access code): 174 366 0917 Event password: 18112020 Wednesday, November 18, 2020 1:00 pm, Europe Time (Rome, GMT+01:00) Event address for attendees: https://unimib.webex.com/unimib/onstage/g.php?MTID=eadc0aefcf2b20a4d5b65dfc… ******************************************************* The webinar is organized by the Department of Economics, Management and Statistics (DEMS) of the University of Milano - Bicocca. -- Federico Camerlenghi Assistant Professor RTDb Department of Economics, Management and Statistics University of Milano Bicocca, Milano, Italy. web-page: https://www.unimib.it/federico-camerlenghi

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BANDO RTDA Mat/06 - Dipartimento Scienze Statistiche - Sapienza Università di Roma
by Luisa Beghin 13 Nov '20

13 Nov '20

Cari tutti, è stato pubblicato il bando relativo ad una posizione di ricercatore a tempo determinato di tipo A, presso il Dipartimento di Scienze Statistiche della Sapienza di Roma (con scadenza 3-12-2020). Bando RTDA/03/2020 Prot. n. 1240/2020 del 3.11.2020 - G.U. n. 86 del 3.11.2020 al seguente link: https://web.uniroma1.it/trasparenza/dettaglio_bando/165882 Cordiali saluti. Luisa Beghin *************************************************************** Luisa Beghin Dipartimento di Scienze Statistiche Fac. Ingegneria dell'Informazione, Informatica e Statistica "SAPIENZA" Università di Roma Piazzale Aldo Moro 5, 00185 Roma T (+39) 06 49910543 F (+39) 06 4959241 https://sites.google.com/site/luisabeghin/ ***************************************************************** -- ________________________________________________________ Le informazioni contenute in questo messaggio di posta elettronica sono strettamente riservate e indirizzate esclusivamente al destinatario. Si prega di non leggere, fare copia, inoltrare a terzi o conservare tale messaggio se non si è il legittimo destinatario dello stesso. Qualora tale messaggio sia stato ricevuto per errore, si prega di restituirlo al mittente e di cancellarlo permanentemente dal proprio computer. The information contained in this e mail message is strictly confidential and intended for the use of the addressee only. If you are not the intended recipient, please do not read, copy, forward or store it on your computer. If you have received the message in error, please forward it back to the sender and delete it permanently from your computer system. --

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Webinar DIDONG LI
by Matteo Ruggiero 13 Nov '20

13 Nov '20

WEBINARS IN STATISTICS @ COLLEGIO CARLO ALBERTO <https://www.carloalberto.org/events/category/seminars/seminars-in-statistic…> Joint initiative with MIDAS COMPLEX MODELING RESEARCH NETWORK <http://midas.mat.uc.cl/network> Venerdi 20 Novembre 2020, alle ore 17:00, si terrà il seguente webinar: ------------------------------------------------ Speaker: Didong Li (Princeton and UCLA) Title: Learning & Exploiting Low-Dimensional Structure in High-Dimensional Data Abstract: Data lying in a high-dimensional ambient space are commonly thought to have a much lower intrinsic dimension. In particular, the data may be concentrated near a lower dimensional subspace or manifold. There is an immense literature focused on approximating the unknown subspace and the unknown density, and exploiting such approximations in clustering, data compression, and building of predictive models. Most of the literature relies on approximating subspaces and densities using a locally linear, and potentially multi-scale, dictionary with Gaussian kernels. In this talk, we propose a simple and general alternative, which instead uses pieces of spheres, or spherelets, to locally approximate the unknown subspace. I will also introduce a curved kernel called the the Fisher–Gaussian (FG) kernel which outperforms multivariate Gaussians in many cases. Theory is developed showing that spherelets can produce lower covering numbers and mean square errors for many manifolds, as well as the posterior consistency of the Dirichlet process mixture of FG kernels. Results relative to state-of-the-art competitors show gains in ability to accurately approximate the subspace and the density with fewer components and parameters. Time permitting, I will also present some applications of spherelets, including classification, geodesic distance estimation and clustering. ------------------------------------------------ Join Zoom Meeting https://us02web.zoom.us/j/81832398725?pwd=QUl5eXNIM0xFSXNjTG9IaFZkL0lCQT09 <https://www.google.com/url?q=https%3A%2F%2Fus02web.zoom.us%2Fj%2F8183239872…> Meeting ID: 818 3239 8725 Passcode: 768768 Il webinar è organizzato dalla "de Castro" Statistics Initiative www.carloalberto.org/stats <http://www.carloalberto.org/stats> nell’ambito del Complex Data Modeling Research Network midas.mat.uc.cl/network <http://midas.mat.uc.cl/network> 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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Royal Satistical Society's meeting: "Data analysis and stochastic control: where do statistics and applied probability come together?"
by Tiziano De Angelis 12 Nov '20

12 Nov '20

Dear All, As part of the activities of the Applied Probability Section of the Royal Statistical Society, we are pleased to announce an (online) afternoon on the topic: "Data analysis and stochastic control: where do statistics and applied probability come together?" on Wednesday 9 December from 1.30pm to 4.30pm (GMT, London time). Registration via the website https://rss.org.uk/training-events/events/events-2020/sections/data-analysi… is mandatory and it is free for those (non-RSS-members) registering *before 30 November*. After that a £10 registration fee will be charged to non-members for participation. The meeting will include four talks and a panel discussion. Our speakers and panellists are: Beatrice Acciaio (ETH Zurich) Sam Cohen (University of Oxford) Blanka Horvath (King's College, London) John Moriarty (Queen Mary University, London) who will present their recent work in the field of data-driven stochastic control and will share their views on what applied probability can bring to the analysis of data. We encourage the participation of a heterogeneous audience of mathematicians and statisticians to contribute to a lively interdisciplinary discussion. Schedule: Meeting starts 1.30pm, first session: talks by Sam Cohen and Beatrice Acciaio Second session starts 2.45: talks by Blanka Horvath and John Moriarty Panel discussion starts 3.30pm For further information please check the dedicated webpage: https://rss.org.uk/training-events/events/events-2020/sections/data-analysi… Best wishes Alexander Cox (University of Bath) Tiziano De Angelis (University of Turin) Kathrin Glau (Queen Mary University, London) Nic Freeman (University of Sheffield)

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