Random March 2022

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41 participants
52 discussions

2-year postdoctoral position at ENSAI (Rennes, France)
by Simone Padoan 22 Mar '22

22 Mar '22

Dear all Please find attached an advertisement for a postdoctoral position at ENSAI (Rennes, France) on a 2-year project at the intersection between extreme value analysis and machine learning. For any information please enquire at gilles.stupfler(a)ensai.fr<mailto:gilles.stupfler@ensai.fr>. Best wishes Gilles Stupfler and Simone Padoan

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3rd Spring Colloquium on Probability and Finance - Padova, 28-29 April 2022
by Claudio Fontana 22 Mar '22

22 Mar '22

Dear all, We are glad to announce the 3rd edition of the Spring Colloquium on Probability and Finance, held at the University of Padova, on 28-29 April 2022. The Colloquium will bring together researchers in stochastic analysis and mathematical finance, featuring invited plenary talks by leading scholars in the field as well as rising talents. This edition of the Colloquium is dedicated to Professor Wolfgang J. Runggaldier, on the occasion of his 80th birthday. Several talks will highlight recent advances on topics on which Wolfgang made fundamental contributions over the course of his intense career. Website: https://events.math.unipd.it/SpringColloquium3 <https://events.math.unipd.it/SpringColloquium3> Attendance is free but registration is required (on the conference website). Invited plenary speakers: Claudia CECI (University of Chieti-Pescara, IT) Christa CUCHIERO (University of Vienna, AT) Paolo DAI PRA (University of Verona, IT) Rüdiger FREY (Vienna University of Economics and Business, AT) Zorana GRBAC (University of Paris, FR) Monique JEANBLANC (University of Evry Val d'Essonne, FR) Yuri KABANOV (University of Besançon, FR) Andrea PASCUCCI (University of Bologna, IT) Eckhard PLATEN (University of Technology Sydney, AU) Thorsten SCHMIDT (University of Freiburg, DE) Martin SCHWEIZER (ETH Zurich, CH) Invited junior speakers: Matteo BRACHETTA (Politecnico di Milano, IT) Alessandro CALVIA (LUISS University, IT) Alekos CECCHIN (University of Padova, IT) Sara SVALUTO-FERRO (University of Verona, IT) We hope to see you in Padova! Best wishes, Giorgia Callegaro and Claudio Fontana

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Seminar Botond Szabo @ unimib
by Federico Camerlenghi 21 Mar '22

21 Mar '22

Dear all, we are glad to announce the next DEMS seminar: Thursday the 24th of March at 12:00 pm The seminar will be held *in presence* at the DEMS seminar room 2104 (building U7 Civitas, 2nd floor, University of Milano Bicocca). The speaker is Botond Szabo <https://botondszabo.com/> (Bocconi University) The seminar title is "Product vs mixture of experts: On distributed Gaussian Process regression", an abstract is attached. You are all very welcome! Best regards, Federico Camerlenghi

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special issue "Stochastic Modeling in Biological System"
by abundo 21 Mar '22

21 Mar '22

APOLOGIES FOR CROSS-POSTING Dear Colleagues, The Journal Fractal and Fractional (ISSN 2504-3110) will publish the special issue "Stochastic Modeling in Biological System" https://www.mdpi.com/journal/fractalfract/special_issues/biological_system of which I am guest editor. The deadline for manuscript submissions is 15 November 2022. The aim of this Special Issue is to publish original research articles covering advances in the theory of stochastic modeling in biology. In this framework, continuous and discrete time stochastic processes will be discussed, as well as stochastic differential equations, fractional differential equations, correlated first-passage-time problems, stochastic optimal controls, parameter estimation, and simulation techniques. All the above topics are intended to be treated in the spirit of modeling the evolution of stochastic systems of interest in biology. Potential topics include but are not limited to the following: -Stochastic processes for neuronal activity; -Jump-diffusion processes; -First-passage-time problems; -Markov and semi-Markov processes; -Time-changed processes; -Markov chains; -Fractional processes; -Fractional Brownian motion. I hope that you will consider this special issue as an interesting and useful forum for publishing your latest research work in stochastic modeling in Biology. I would be glad if you will submit a paper to this special issue. Your submission should be made at the web site: https://www.mdpi.com/journal/fractalfract/special_issues/biological_system The deadline for manuscript submissions is 15 November 2022. Best Regards, Mario Abundo -- ================================== Mario Abundo Dipartimento di Matematica Universita' di Roma "Tor Vergata" via della Ricerca Scientifica 00133 Roma, Italy e-mail: abundo(a)mat.uniroma2.it http://www.mat.uniroma2.it/~abundo tel: +39 06 7259 4627 fax: +39 06 7259 4699 ==================================

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Seminario Giacomo Aletti @ UniTo
by Elvira Di Nardo 19 Mar '22

19 Mar '22

********************************************************************* SEMINARI DI PROBABILITA' E STATISTICA MATEMATICA DIPARTIMENTO DI MATEMATICA "G. PEANO" UNIVERSITA' DEGLI STUDI DI TORINO *con il supporto della fondazione CRT* ********************************************************************* https://sites.google.com/view/torinostochastics/seminar-series-on-data-scie… Nell'ambito delle attività seminariali del Dottorato in Modeling and Data Science, *Giovedì 24 Marzo 2022 alle ore 17:00* in Aula Magna presso il Dipartimento di Matematica "G. Peano" dell'Università degli Studi di Torino, Via Carlo Alberto 10, il Prof. *Giacomo Aletti* (Dipartimento di Scienze e Politiche Ambientali, Università degli studi di Milano) terrà un seminario dal titolo *Mathematical, numerical and statistical problems in the analysis of probabilistic counting of distinct elements* Abstract: Data streams are sequences of objects that cannot be available for random access but must be analyzed sequentially when they arrive and immediately discharged. One of the main applications in streaming algorithms concerns the problem of counting the number F0 of distinct elements in a stream, when the information that can be stored is of the order of the logarithm of the quantity of interest F0. In this seminar, the Flajolet-Martin class of probabilistic algorithms is analyzed from a probabilistic point of view, thus opening several computational, statistical, and mathematical problems. Connections with some consolidated theories will be shown. The results presented may be found in Aletti G. Analytical Confidence Intervals for the Number of Different Objects in Data Streams. Big Data Research, Volume 25, 2021 . Tutti gli interessati sono invitati a partecipare. E' possibile seguire il seminario on line su piattaforma WebEx. *Chi fosse interessato, può mandarmi una email e provvederò a inviare l'invito (con il link)* Cordiali saluti -- %------------------------------------------------------- Elvira Di Nardo Dept. Mathematics "G. Peano" University of Torino Via Carlo Alberto 10 10123 Torino, Italia tel. +39 0116702862 fax +39 0116702878 http://www.elviradinardo.it %-------------------------------------------------------

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Post-doc a Firenze: deadline approaching
by Luisa Andreis 18 Mar '22

18 Mar '22

Cari colleghi e colleghe, vi mandiamo un secondo annuncio per l'assegno di ricerca di 1 anno rinnovabile per almeno 1 anno al Dipartimento di Matematica e Informatica “Ulisse Dini” dell’Università di Firenze. Il bando ha scadenza 22 Marzo 2022. La ricerca verterà sullo studio e sull'uso di tecniche probabilistiche (limiti di scala, fluttuazioni, grandi deviazioni) nell'ambito di sistemi stocastici interagenti di vario tipo, con una particolare attenzione agli aspetti geometrici di essi. Trovate i dettagli del bando al fondo di questa email. Per ulteriori informazioni rivolgersi a luisa.andreis(a)unifi.it <mailto:luisa.andreis@unifi.it> Webpage del gruppo di probabilità: https://sites.google.com/unifi.it/florence-probability-group/home?authuser=1 <https://sites.google.com/unifi.it/florence-probability-group/home?authuser=1> Vi preghiamo di diffondere con chiunque pensiate possa essere interessata/o. Cordiali saluti, Luisa Andreis, Gianmarco Bet e Daniele Angella ENGLISH VERSION ----------------------------------------------- Dear colleagues, We send you a remainder for a call for a 1 year post-doc position (with possibility of extension to a second year) open at the Mathematics Department in Florence, with deadline March 22, 2022. The project aims to study and use probabilistic techniques (scaling limits, fluctuations, large deviations) in the framework of interacting random systems, with a particular focus on their geometrical aspects. You find the details of the call at the bottom of this email. For any further information, please feel free to contact: luisa.andreis(a)unifi.it <mailto:luisa.andreis@unifi.it> Probability group webpage: https://sites.google.com/unifi.it/florence-probability-group/home?authuser=1 <https://sites.google.com/unifi.it/florence-probability-group/home?authuser=1> Please, feel free to forward this announcement to whoever you think might be interested. Best regards, Luisa Andreis, Gianmarco Bet e Daniele Angella DETAILS OF THE CALL ------------------------------------------------------------------------------------------------ Official call (English below): https://www.google.com/url?q=https://titulus.unifi.it/albo/viewer?view%3Dfi… <https://www.google.com/url?q=https://titulus.unifi.it/albo/viewer?view%3Dfi…> Title of the project: "Probabilistic aspects and geometrical properties of interacting random systems” Principal Investigators: Luisa Andreis, Gianmarco Bet, Daniele Angella (University of Florence) Luisa Andreis ------------------------------------------------------- RTD-A Dipartimento di Matematica e Informatica “Ulisse Dini" Università degli Studi di Firenze Viale Morgagni 65, 50134, Firenze, IT Personal webpage: https://sites.google.com/view/luisaandreis/home <https://sites.google.com/view/luisaandreis/home> Email: luisa.andreis(a)unifi.it <mailto:luisa.andreis@unifi.it>

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quantitative finance at Rome-Tor Vergata
by Stefano Herzel 18 Mar '22

18 Mar '22

On March 31st and April 1st the 22nd Workshop on Quantitative Finance will be hosted (in presence!) at the University of Rome-Tor Vergata To see the program and the details please visit https://qfw2022.it <https://qfw2022.it/> Attendance is free of charge, but it is requested to be registered in andvance through the conference website Stefano Herzel Professor of Mathematical Finance University of Rome “Tor Vergata” Tel. +39-06 7259 5946

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PhD course by Antoine Jacquier (Imperial College) in Padova
by Giorgia Callegaro 17 Mar '22

17 Mar '22

Dear all, it's a pleasure to invite you to follow (in presence, room 2BC30 in Torre Archimede, Padova or online, via Zoom) the lectures given by Antoine Jacquier in Padova. He will give a 16h PhD course entitled : "*A smooth tour around rough models in finance (From data to stochastics to machine learning)*", starting the 30th March 2022 and ending the 21st April. Each lecture will last 90 minutes. More details on the program can be found here: https://www.math.unipd.it/~dottmath/corsi2022/Jacquier.pdf and the schedule is here: https://dottorato.math.unipd.it/calendar/202203 Please send me an email in case you're interested in receiving the Zoom link. I remain at your disposal for any further information. See you soon, Giorgia Callegaro -- Giorgia Callegaro Associate Professor Department of Mathematics - University of Padova Via Trieste 63 , I-35121 Padova - ITALY Tel: +39-0498271481 Fax: +39-0498271499 E-Mail: gcallega(a)math.unipd.it <https://webmail.math.unipd.it/horde3/imp/message.php?mailbox=Sent&index=598#> Personal web-page: https://sites.google.com/site/giogiocallegaro/Home

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PostDoc in Rome
by Lorenzo Taggi 16 Mar '22

16 Mar '22

A PostDoc position in Probability and Statistical Mechanics is open at University of Rome Sapienza. Research topics include interacting random walks, random loop models, spin systems, Bose-Einstein condensation. The position is funded by the German Research Foundation (DFG). The research program will be carried on under the supervision of the principal investigator Lorenzo Taggi. The research program offers the opportunity to interact with the research partners of the DFG priority program “Random Geometric Systems” and with the probability and mathematical physics communities of the three universities in Rome. Deadline: 14th of April 2022 Net salary: approximately 2350 euro monthly Starting period: not later than 1st of September 2022 Time length: 24 months This is the second of two PostDoc positions which are funded through the same grant. How to apply <https://sites.google.com/site/lorenzotaggiswebpage2/open-positions> For questions please send an email to the principal investigator Lorenzo Taggi: lorenzo.taggi(a)uniroma1.it.

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Seminar in Pisa: Langxuan Su
by Francesco Grotto 16 Mar '22

16 Mar '22

Dear Colleagues, we would like to invite you to the following seminar by Langxuan Su (Duke University) to be held next Wednesday in Pisa and online via Google Meets. The organizers, A. Agazzi and F. Grotto ------------------------------------------------------- Location: Sala Seminari, Dipartimento di Matematica, Pisa Google Meet Link: https://meet.google.com/gji-phwo-vbg Time: March 23, 2022, 15:00 CET Speaker: Langxuan Su (Duke University) Title: A Large Deviation Approach to Posterior Consistency in Dynamical Systems Abstract: We provide asymptotic results concerning (generalized) Bayesian inference for certain dynamical systems based on a large deviation approach. Given a sequence of observations, a class of parametrized model processes and a loss function, we specify the generalized posterior distribution. We state conditions on the model family and the loss function such that the posterior distribution converges. The two conditions we require are: (1) a conditional large deviation behavior for a single model process, and (2) an exponential continuity condition over the model family for the map from the parameter to the loss incurred between a model process and the observations. The proposed framework is quite general, we apply it to two very different classes of dynamical systems: continuous time hypermixing processes and Gibbs processes on shifts of finite type. We also show that the generalized posterior distribution concentrates asymptotically on those parameters that minimize the expected loss and a divergence term, hence proving posterior consistency.

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