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[owps] OWPS, October 21st: B. Derrida and Z. Shi on "Renormalisation and disorder: a simple toy-model" (fwd)
by Michele Gianfelice 08 Oct '21

08 Oct '21

Salve, ricevo ed inoltro p.c.. Cordialmente, m.gianfelice ---------- Forwarded message ---------- Date: Thu, 7 Oct 2021 19:16:53 +0200 From: One World Probability <ow.probability(a)gmail.com> To: owps(a)lists.bath.ac.uk Subject: [owps] OWPS, October 21st: B. Derrida and Z. Shi on "Renormalisation and disorder: a simple toy-model" Dear probabilists, We wish to thank you for participating in this OWPS session. The next session will be two weeks from now, on October 21sh, from 14:00 to 15:45 UTC. Bernard Derrida and Zhan Shi will talk about a simple toy-model for renormalization and disorder. Titles, abstracts and the Zoom link are below the signature, and can be found on the website https://www.owprobability.org/one-world-probability-seminar. Please feel free to circulate this email, the information for getting on the mailing list can be found there https://www.owprobability.org/mailing-list. Probabilistically yours, Bastien Mallein and Sébastien Martinea --------- Renormalisation and disorder: a simple toy model (I) Bernard Derrida (Collège de France) LPSM is inviting you to a scheduled Zoom meeting. Topic: OWPS Seminar October 21st Bernard Derrida & Zhan Shi Time: Oct 21, 2021 03:45 PM Paris Renormalisation and disorder: a simple toy model (II) Zhan Shi (AMSS, Chinese Academy of Sciences) After a short review of our understanding of how a weak disorder or a low density of impurities affect the universality class of a phase transition, we will discuss a simple tree-like toy model for which one can prove that, due to disorder, the depinning transition becomes an infinite order transition of the Berezinski-Kosterlitz-Thouless type. This toy model was introduced to understand the depinning transition of a line from a random substrate, one of the simplest problems in the theory of disordered systems. This depinning transition has a long history among physicists and mathematicians. Still the nature of the transition, one of the central questions of the problem, remains unsolved. Joint work with Xinxing Chen, Victor Dagard, Yueyun Hu and Mikhail Lifshits. Zoom-link: https://us02web.zoom.us/j/87978274605?pwd=NXFkc1JyTTNOWjJ2U1ZNYVBEMG16UT09 Meeting ID: 879 7827 4605 Passcode: 771185 If you are having trouble with zoom, or if the capacity of the zoom room gets exceeded, you can also access to the Youtube live stream at the channel of the seminar: https://www.youtube.com/channel/UCiLiEQGTp6bZEhuHDM-WNWQ

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Seminar in Statistics BAS KLEIJN
by Pierpaolo De Blasi 08 Oct '21

08 Oct '21

SEMINARS IN STATISTICS @ COLLEGIO CARLO ALBERTO <https://www.carloalberto.org/events/category/seminars/seminars-in-statistic…> Venerdi 15 Ottobre 2021, alle ore 12.00, presso il Collegio Carlo Alberto, in Piazza Arbarello 8, Torino, si terrà il seguente seminario: ------------------------------------------------ Speaker: *Bas Kleijn *(University of Amsterdam) Title: *Confidence sets in a sparse stochastic block model with two * *communities of unknown sizes* Abstract: In a sparse stochastic block model with two communities of unequal sizes we derive two posterior concentration inequalities, that imply (1) posterior (almost-)exact recovery of the community structure under sparsity bounds comparable to well-known sharp bounds in the planted bi-section model; (2) a construction of confidence sets for the community assignment from credible sets, with finite graph sizes. The latter enables exact frequentist uncertain quantification with Bayesian credible sets at non-asymptotic graph sizes, where posteriors can be simulated well. There turns out to be no proportionality between credible and confidence levels: for given edge probabilities and a desired confidence level, there exists a critical graph size where the required credible level drops sharply from close to one to close to zero. At such graph sizes the frequentist decides to include not most of the posterior support for the construction of his confidence set, but only a small subset of community assignments containing the highest amounts of posterior probability (like the maximum-a-posteriori estimator). It is argued that for the proposed construction of confidence sets, a form of early stopping applies to MCMC sampling of the posterior, which would enable the computation of confidence sets at larger graph sizes. Paper available at: https://arxiv.org/abs/2108.07078 ------------------------------------------------ In ottemperanza alle norme anti Covid, per partecipare in presenza è necessario prenotarsi tramite il seguente form online: https://forms.gle/ZpaUtXCEPeei98yE8 Sarà possibile seguire il seminario anche in streaming: Join Zoom Meeting <https://us02web.zoom.us/j/85083283178?pwd=WUV4ZlUxc1c4NDJqbkpYNWw1eENSdz09> Meeting ID: 850 8328 3178 Passcode: 046282 Il seminario è organizzato dalla "de Castro" Statistics Initiative www.carloalberto.org/stats Cordiali saluti, Pierpaolo De Blasi --- University of Torino & Collegio Carlo Alberto carloalberto.org/pdeblasi <https://sites.google.com/a/carloalberto.org/pdeblasi/>

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Fwd: Premio Cuozzo
by Lucia Caramellino 08 Oct '21

08 Oct '21

Buongiorno. Inoltro volentieri l’avviso del bando del premio Cuozzo 2021 (premio di dottorato in Matematica, bandito annualmente dal dipartimento di Matematica a Tor Vergata). Cari saluti, Lucia +++++++++++++++++++++++++++++++++ Lucia Caramellino Dipartimento di Matematica Università di Roma “Tor Vergata” Web: http://www.mat.uniroma2.it/~caramell <http://www.mat.uniroma2.it/~caramell> > Inizio messaggio inoltrato: > > Da: Filippo Bracci <fbracci(a)mat.uniroma2.it> > Oggetto: Premio Cuozzo > Data: 7 ottobre 2021 15:38:48 CEST > A: Filippo Bracci <fbracci(a)mat.uniroma2.it> > > Carissimi, > > vi informo che è uscito il bando del premio Cuozzo: > > https://www.mat.uniroma2.it/Docs_avvisi/Bando-cuozzo-2021 <https://www.mat.uniroma2.it/Docs_avvisi/Bando-cuozzo-2021> > > Il premio, di Euro 3000, giunto alla XIV edizione, è dedicato alla memoria di Michele Cuozzo: http://www.mat.uniroma2.it/~dott/cuozzo.html <http://www.mat.uniroma2.it/~dott/cuozzo.html> . > > Possono far domanda tutti coloro che hanno conseguito il titolo di Dottore di Ricerca in Matematica presso una Università o Istituzione Italiana nei 12 mesi precedenti alla scadenza del bando. La scadenza del bando è il 5 Novembre p.v. ore 12:00. > > Vi prego di dare diffusione della notizia tra gli interessati, > > grazie > > cari saluti > > Filippo Bracci > -- > ************************ > Prof. Filippo Bracci > Direttore > Dipartimento di Matematica > Universita' di Roma "Tor Vergata" > Via della Ricerca Scientifica 1 > 00133 Roma - ITALIA > Tel: (+39-)06-7259 4643/4105 > Fax: (+39-)06-7259 4699 > E-mail: fbracci(a)mat.uniroma2.it <mailto:fbracci@mat.uniroma2.it> > Web-page: www.mat.uniroma2.it/~fbracci <http://www.mat.uniroma2.it/~fbracci>

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Mini-course about Rough Volatility by Jim Gatheral CUNY
by Giacomo Bormetti 08 Oct '21

08 Oct '21

Dear all, in collaboration with Jim Gatheral from City University of New York we organize a mini-course about Rough Volatility. The course will take place only in presence in Bologna at the Department of Mathematics (Piazza di Porta San Donato 5). Below all the details. All interested people are kindly invited. Sincerely Giacomo Bormetti and Fabrizio Lillo Gio 14 Ottobre, 4:00-7:00 PM CET Aula Tonelli Jim Gatheral, Baruch College CUNY, New York Titolo: Rough volatility I Rough volatility connects the microstructure of financial markets with the large-scale behavior of volatility. This approach results in parsimonious models that are consistent across different time-scales and show remarkable agreement with econometric data. In this first lecture of two, we will focus on the econometric motivation of rough volatility and explore its consequences for pricing, focusing on the rough Bergomi model. As an application, we will show how to forecast realized variance and the forward variance curve. Gio 21 Ottobre, 4:00-7:00 PM CET Aula Tonelli Jim Gatheral, Baruch College CUNY, New York Titolo: Rough volatility II In this second lecture, we will present the microstructural foundation for rough volatility models. This leads to the class of affine forward variance (AFV models) and more recently to so-called super Heston models, a special case of which is the quadratic rough Heston model. We give a brief overview of recent developments, including numerical solution techniques. Numerical experiments are performed to give intuition for the effect of changing model parameters. Both lectures will be in the form of Jupyter notebooks that will be made available afterwards, including code to reproduce most of the computations.

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Call for 3 postdoctoral positions in MERC at the School for Advanced Studies of Naples
by Tiziano De Angelis 07 Oct '21

07 Oct '21

Dear All, There are 3 postdoctoral positions available in the MERC programme (Modelling and Engineering Risk and Complexity) at the School for Advanced Studies in Naples (Scuola Superiore Meridionale). The School is highly multidisciplinary and these posts could be of interest for candidates with a background in applied probability and stochastics (both theoretical and applied). Here is the link to the job advert http://www.ssm.unina.it/en/postdoctoral-fellowships-call-for-application-no… The deadline for applications is set for 1st December 2021. Please feel free to distribute the advert to your network. I would be happy to receive enquiries from potential candidates from the applied probability/stochastics area. Best wishes Tiziano

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Hooke Research Fellowships at the University of Oxford
by Marco Alessandro Fuhrman 07 Oct '21

07 Oct '21

A tutti gli interessati. Desidero comunicare questo avviso per posizioni presso l'Università di Oxford. Cordiali saluti a tutti. Marco Fuhrman ------------------- Hooke Research Fellowships Mathematical Institute, University of Oxford(https://www.maths.ox.ac.uk/ ) (https://www.maths.ox.ac.uk/node/39999 ) https://www.maths.ox.ac.uk/node/39999 Deadline: November 3, 2021 The Oxford Mathematical & Computational Finance Group(https://www.maths.ox.ac.uk/groups/mathematical-finance ) invite applications from talented researchers with interests in Stochastic analysis, Mathematical Finance or Data Science for a Hooke Research Fellowship(https://www.maths.ox.ac.uk/node/33994 ) starting September 2022. These prestigious Fellowships at the University of Oxford are full-time, fixed term up to 36 months starting September 2022 and provide an ideal opportunity for candidates to pursue an independent research programme. Successful applicants will be free to conduct their own research programme. To aid the development of their academic profile, Fellows will be required to contribute up to three hours of departmental teaching per week for the 24 weeks of each academic year, averaged over the period of the Fellowship to allow for extended visits elsewhere. Candidates will have, or be close to completing, a PhD in mathematics or a related discipline. They must show evidence of independence and the ability to undertake research of the highest academic standard, hold an outstanding record of papers published in major international journals (commensurate with career stage), and have a relevant research plan which would enhance the Mathematical Institute’s research profile. Additional information about the post, and a full list of selection criteria, are available here: https://www.maths.ox.ac.uk/node/39999 Please direct informal enquiries to the Recruitment Administrator (email: vacancies(a)maths.ox.ac.uk) quoting vacancy reference 153585. Applicants should read the job description before writing their application. You will be required to upload a supporting letter setting out how you meet the selection criteria, a curriculum vitae including full list of publications with top three papers starred, a statement of research interests including a plan for research during the Fellowship, and the names and contact details of two referees as part of your online application. NOTE: Applicants are responsible for contacting their referees and making sure that their letters are received by the closing date. Applications for this vacancy are to be made online. To apply for this post and for further details, including a job description and selection criteria, please click on the link below: https://my.corehr.com/pls/uoxrecruit/erq_jobspec_details_form.jobspec?p_id=… Only applications received before 12:00 noon UK time on 3 November 2021 can be considered. Committed to equality and valuing diversity. Vacancy Reference: 153585 Appointment Term: 3 years Closing Date: Friday, November 3, 2021 - 12:00 UK time

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Seminar by Francesca Biagini in Verona (Virtual)
by Alessandro Gnoatto 07 Oct '21

07 Oct '21

Prof. Francesca Biagini (LMU Munich) will give a virtual talk at our Department seminar. Date: 13 October 12:00 CEST. Title: "Reduced-form setting under model uncertainty with non-linear affine intensities" If you would like to attend via Zoom, please register at the following link, we will send you the details: https://docs.google.com/forms/d/e/1FAIpQLSe6_5W5PbKr9R3fufAahV1D4js4-6AAcEn… Abstract: In this talk we present a market model including financial assets and life insurance liabilities within a reduced-form framework under model uncertainty by following [1]. In particular we extend this framework to include mortality intensities following an affine process under parameter uncertainty, as defined in [2]. This allows both to introduce the definition of a longevity bond under model uncertainty in a consistent way with the classical case under one prior, as well as to compute it by explicit formulas or by numerical methods. We also study conditions to guarantee the existence of a càdlàg modification for the longevity bond’s value process. Furthermore, we show how the resulting market model extended with the longevity bond is arbitrage-free and study arbitrage-free pricing of contingent claims or life insurance liabilities in this setting. This talk is based on: [1] Francesca Biagini and Yinglin Zhang. Reduced-form framework under model uncertainty. The Annals of Applied Probability, 29(4):2481–2522, 2019. [2] Francesca Biagini and Katharina Oberpriller. Reduced-form framework under model uncertainty. accepted on Probability, Uncertainty and Quantitative Risk, 2021. [3] Tolulope Fadina, Ariel Neufeld, and Thorsten Schmidt. Affine processes under parameter uncertainty. Probability, Uncertainty and Quantitative Risk [link.springer.com] volume 4 (5), 2019. -- Prof Alessandro Gnoatto, PhD Dipartimento di Scienze Economiche Università degli Studi di Verona Via Cantarane 24 37129, Verona, Italy Room 1.05 Tel: +39 045 802 8537 Homepage: www.alessandrognoatto.com E-mail: alessandro.gnoatto(a)univr.it -------------------------------------------------- View my research on my SSRN Author page: http://ssrn.com/author=1615989 --------------------------------------------------

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[MLfF] Call for contributions : MACHINE LEARNING FOR FINANCE, 3rd One-Day International Remote Workshop
by Marco Corazza 07 Oct '21

07 Oct '21

*3rd One-Day International Remote Workshop on* *MACHINE LEARNING FOR FINANCE* It is open the *call for contributions* for the *3rd One-Day International Remote Workshop on MACHINE LEARNING FOR FINANCE* *Workshop* - Date: December 17th, 2021 - Mode: Streaming via the Zoom platform offered by the Department of Economics of the Ca’ Foscari University of Venice - Attendance free of charge *Topics* Artificial Intelligence, Machine Learning and Soft Computing for Finance, Insurance and Actuarial Disciplines *Submission* - Proposal: Title, author(s) and abstract of about 200 words - Deadline: December 10th, 2021 - Send to: corazza(a)unive.it *Publications* Facultative submission of papers to the international journal *Mathematical Methods in Economics and Finance* (https://unive.it/m2ef) included in the MathSciNet list of journals and in the Italian National Agency for the Evaluation of Universities and Research Institutes one *Past editions* - One-Day International Remote Workshop on MACHINE LEARNING FOR FINANCE - October 3rd, 2019: https://www.unive.it/data/agenda/3/32112 - 2nd One-Day International Remote Workshop on MACHINE LEARNING FOR FINANCE - December 18th, 2020: https://www.unive.it/data/agenda/3/45054 Best regards, Marco Corazza P.S. - We apologize for possible multiple copies of this email. -- Marco Corazza, Ph.D. Department of Economics - Ca' Foscari University of Venice San Giobbe, Cannaregio 873 - 30121 Venezia, Italy Mobile: (+39) 366 602-9134 Phone: (+39) 041 234-6921 Fax: (+39) 041 234-7444 E-mail: corazza(a)unive.it Editor-in-Chief: Mathematical Methods in Economics and Finance - www.unive.it/m2ef

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(PMS)^2 online talk: Carlo Bellingeri, Monday October 11 at 17.30
by Carlo Orrieri 07 Oct '21

07 Oct '21

Dear colleagues, We are happy to announce the following online talk: Speaker: Carlo Bellingeri (TU Berlin) Title: Signatures and non commutative probability. Abstract: Given a smooth path X, the signature of a path is the infinite sequence of the iterated integral of X with itself. If X is a stochastic process with an integration structure (e.g. semimartingale), the corresponding signature is the key-object to understand the "lack of continuity" between the solution of a SDE driven by X and the process itself. In this talk, we will review the main properties of the signature and introduce the new notion of "non-commutative signature", which we tailored to study a new class of rough/stochastic differential equations arising in the context of non-commutative probability. Joint paper with Nicolas Gilliers (Université de Toulouse) and Yannick Vargas (Postdam Universität) Date and time: Monday October 11, 17:30-18:30 (Rome time zone) Zoom link: https://us02web.zoom.us/j/5772228296 <https://us02web.zoom.us/j/5772228296> This talk is the second of the (PMS)^2: Pavia-Milano Seminar series on Probability and Mathematical Statistics organized jointly by the universities Milano-Bicocca, Pavia, Milano-Politecnico and Milano-Statale. Participation is free and welcome! (though limited to 100 participants for technical reasons) Best regards The organizers (Mario Maurelli, Carlo Orrieri, Maurizia Rossi, Margherita Zanella)

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Postdoc position at the Scuola Normale Superiore on the project "Mean Field Games aspects of training residual networks”.
by Giulia Livieri 06 Oct '21

06 Oct '21

Dear all, A call for a 12 month research contract is open at the Scuola Normale Superiore, Pisa (Italy). 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 (estimated starting: November 2021) 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/sites/default/files/bandi/assegni… The deadline is November 5, 2021. In case you need more information, please contact Giulia Livieri (giulia.livieri(a)sns.it) Thanks and all the best, Giulia Livieri

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