Random November 2020

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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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