- Random - Mailing list — Dipartimento di Matematica, UniPI

Fwd: CRM-PIMS summer 2024 school in probability
by Faggionato, Alessandra 14 Nov '23

14 Nov '23

Buongiorno, Ricevo e con piacere inoltro. Saluti Alessandra ---------- Forwarded message --------- Da: Omer Angel <angel(a)math.ubc.ca> Date: gio 9 nov 2023, 23:47 Subject: CRM-PIMS summer 2024 school in probability To: Alessandra Faggionato <faggiona(a)mat.uniroma1.it> Dear Alessandra, This is an announcement of the 2024 Summer School in Probability which will take place at CRM, Montreal QC, Canada, on July 1-26 2024. Please share the following with anyone who may be interested in taking part. There will be two 4-week courses: * Elliot Paquette: Random matrix theory of high-dimensional optimization * Perla Sousi: Random walks and branching random walks: old and new perspectives There will also be 3 short (3 lecture) courses by * Ellen Powell: Characterisations of random geometric objects * Jacopo Borgo: Permutations in random geometry * Igor Kortchemski: Funding for local expenses will be provided for some participants who are able to attend the entire summer school. This will largely consist of housing in Montreal for the duration of the school. Application for financial support will be accepted on mathjobs with a deadline of January 10, 2024: https://www.mathjobs.org/jobs/list/23694. All information about the summer school can be found at http://www.math.ubc.ca/Links/ssprob24/. The school is intended primarily for graduate students and postdoctoral fellows in Probability. All inquiries may be directed to the organizers: Louigi Addario-Berry <louigi.addario(a)mcgill.ca> Omer Angel <angel(a)math.ubc.ca> Mathav Murugan <mathav(a)math.ubc.ca> Gordon Slade <slade(a)math.ubc.ca>

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RTDa SECS-S/06 presso il Dip.to di Matematica, Università di Padova
by Giorgia Callegaro 13 Nov '23

13 Nov '23

Carissimi, segnalo agli/alle interessati/interessate il bando per un RTDa in "Metodi matematici dell'economia e delle scienze attuariali e finanziarie" (settore SECS-S/06), presso il Dipartimento di Matematica dell'Università di Padova. La scadenza per la presentazione della domanda è il 22 novembre 2023 alle ore 13. Tutti i dettagli sono al seguente link: https://www.unipd.it/procedura-2023RUA06 Cari saluti a tutti/e, Giorgia Callegaro (e tutto il settore SECS-S/06 del Dipartimento) -- 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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cambio email
by Laura Maria Morato 13 Nov '23

13 Nov '23

cari tutti il mio indirizzo email e' cambiato. Il nuovo e' morato.lauramaria(a)gmail.com

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new email address
by Laura Maria Morato 13 Nov '23

13 Nov '23

cari tutti il mio indirizzo email e' cambiato. Il nuovo e' morato.lauramaria(a)gmail.com

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Seminar in Statistics - SVEN WANG
by Pierpaolo De Blasi 13 Nov '23

13 Nov '23

SEMINARS IN STATISTICS @ COLLEGIO CARLO ALBERTO <https://www.carloalberto.org/events/category/seminars/seminars-in-statistic…> Venerdi 17 Novembre 2023, alle ore 12.00, presso il Collegio Carlo Alberto, in Piazza Arbarello 8, Torino, si terrà il seguente seminario: ------------------------------------------------ Speaker: Sven Wang (Humboldt University Berlin, Germany) Title: *Statistical convergence rates for transport- and ODE-based generative models* Abstract: Measure transport provides a powerful toolbox for estimation and generative modelling of complicated probability distributions. The common principle is to learn a transport map which couples a tractable (e.g. uniform or normal) reference distribution to some complicated target distribution, e.g. by maximizing a likelihood objective. In this talk, we discuss recent advances in statistical convergence guarantees for such methods. While a general theory is developed, we will primarily treat (1) triangular maps which are the building blocks for ’autoregressive normalizing flows’ and (2) ODE-based maps, defined through an ODE flow. The latter encompasses NeuralODEs, a popular method for generative modeling. Our results imply that transport methods achieve minimax-optimal convergence rates for non-parametric density estimation over Hölder classes on the unit cube. Based on the papers arXiv:2207.10231 and arXiv:2309.01043, joint with Youssef Marzouk (MIT, United States), Robert Ren (MIT, United States) and Jakob Zech (U Heidelberg, Germany). ------------------------------------------------ Sarà possibile seguire il seminario anche in streaming: Join Zoom Meeting <https://us02web.zoom.us/j/84606225203?pwd=aFhFa2RKaWtVd2V6R2Rpc05hRGNodz09> Il seminario è organizzato dalla "de Castro" Statistics Initiative www.carloalberto.org/stats -- Pierpaolo De Blasi University of Torino & Collegio Carlo Alberto carloalberto.org/pdeblasi <https://sites.google.com/a/carloalberto.org/pdeblasi/>

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[owps] One world probability seminar on Thursday 16 November
by Ilya Chevyrev 13 Nov '23

13 Nov '23

Dear all. The next session of the One World Probability Seminar will be next week on Thursday (November 16) from 14:00 to 16:00 UTC time. The speakers of this session are Elisabetta Candellero (Universita Roma Tre) and Thomas Finn (Durham University). Title, abstract and the zoom link are below the signature and can be also found on the website https://www.owprobability.org/one-world-probability-seminar. Kind regards, Ilya Chevyrev and Julio Backhoff. Title: Coexistence in competing first-passage percolation Abstract: Consider the following random competition model on a given graph G that is driven by two first-passage percolation processes FPP_1 and FPP_\lambda. Initially, FPP_1 occupies a single site and FPP_\lambda is dormant in seeds that are placed on the sites of G as a product of Bernoulli measures of parameter p. Then, FPP_1 spreads through the edges of G at rate 1 and FPP_\lambda spreads from seeds at rate \lambda when that seed is attempted to be occupied by either FPP_1 or FPP_\lambda. Once a site is occupied by either process it remains occupied by that process henceforth. This model is known as first-passage percolation in a hostile environment (FPPHE) and was first introduced by Sidoravicius and Stauffer ’19. In the first talk, we establish that FPPHE is non-monotone in the sense that increasing p or \lambda may increase the probability that FPP_1 occupies infinitely many sites through constructing a quasi-transitive graph where such behaviour holds. The non-monotonicity of FPPHE makes understanding the phase transitions of the model extremely challenging. We prove that a regime of coexistence exists on hyperbolic and non-amenable vertex transitive graphs where both FPP_1 and FPP_\lambda concurrently occupy infinite connected components with positive probability. In the second talk, we prove that a regime of coexistence also holds on Z^d for d>2 through the introduction of a refined multi-scale analysis that can handle non-equilibrium and non-monotone processes. We relate this proof to recent work on multi-particle diffusion limited aggregation by Sidoravicius and Stauffer ’19 and the SIR model by Dauvergne and Sly ’22 where FPPHE is a crucial analytical tool in understanding non-equilibrium particle systems. Based on joint work with Alexandre Stauffer. Speaker 1 (14:00-15:00 UTC): Elisabetta Candellero (Universita Roma Tre). Speaker 2 (15:00-16:00 UTC): Thomas Finn (Durham University). Zoom-link: https://univienna.zoom.us/j/69711117344?pwd=Y3cwMEI3VkZKSTh5RVZRSGhRN3lUdz09 Meeting ID: 697 1111 7344 Passcode: 305805

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seminario di eugenio regazzini a bologna
by Pietro Rigo 12 Nov '23

12 Nov '23

Giovedi' 16 novembre 2023, alle ore 16, nell'aula III del dipartimento di scienze statistiche di Bologna, Eugenio Regazzini terra' un seminario dal titolo: On the number of elements beyond the ones effectively observed Oltre che in presenza, e' possibile assistere al seminario collegandosi alla piattaforma Microsoft Teams: Fai clic qui per partecipare alla riunione<https://teams.microsoft.com/l/meetup-join/19%3ameeting_ZGRhYmVhZjAtYWFiZS00…>

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EFI9 - Call for Papers (fwd)
by Tiziano Vargiolu 11 Nov '23

11 Nov '23

Apologies for cross-posting --------------------------------------------------------------------------- Second Call for Papers: Energy Finance Italia 9 Conference (EFI9) University of Bari, February 12-14, 2024 Deadline for submission of organized sessions: November 27, 2023 Deadline for extended abstracts/papers: December 4, 2023 Web: https://events.math.unipd.it/EFI9 Contact: efi9(a)uniba.it The Conference puts together researchers and practitioners working in all areas of Energy-Finance & Climate-Change related research in economics, finance, engineering, data science and mathematics. Participants are encouraged to submit their papers or proposals of organized sessions on a wide range of theoretical and applied topics in these two research fields, such as (but not limited to): Energy and climate data science, Energy forecasting, Energy innovations, Energy markets, Energy analytics, Energy mix and carbon emission trading, Energy supply chain, ESG, Green finance & financing energy infrastructure, Climate policy and risk, Climate change & market efficiency, Climate change & pricing uncertainty, Regulation and regulatory risk, Renewable sources, Risk measurement and management, Storage devices, Sustainable finance. Keynote speaker: Ruediger Kiesel Award: Best EFI9 Paper, reserved to the presenters born after January 1st, 1994 Special issue of Energy Economics associated with this conference We are looking forward to welcoming you in Bari. for the organizing committee Viviana Fanelli and Tiziano Vargiolu

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6-year university assistant position in Probability in Vienna
by Prof. Fabio Toninelli 10 Nov '23

10 Nov '23

Dear friends and colleagues, the Technical University of Vienna is advertising a *6-year university assistant (postdoc) position in probability theory, *within the Mathematical Stochastics research group (https://www.tuwien.at/en/mg/mstoch) <https://www.tuwien.at/en/mg/mstoch>*/ <https://www.tuwien.at/en/mg/mstoch> /* Deadline for applications: *January 4th, 2024*. Starting date: *October 2024* For the official announcement, the link to the application portal and details on the position, see here: https://jobs.tuwien.ac.at/Job/220480 Please forward this to potentially interested candidates Best wishes Fabio Toninelli and Marcin Lis -- Prof. Dr. Fabio Toninelli Technical University of Vienna Institut für Stochastik und Wirtschaftsmathematik Wiedner Hauptstrasse 8-10, 1040 Wien, Austria Office: 6th floor, green area. tel: +43-1-58801-10570 https://sites.google.com/view/fabio-toninelli/home

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Post-doctoral position at the University of Torino
by Matteo Ruggiero 09 Nov '23

09 Nov '23

2-year post-doctoral position at the University of Torino DESCRIPTION Project title: Statistical inference for continuous-state hidden Markov models Project supervisor: Matteo Ruggiero - www.matteoruggiero.it The project will focus on the development of statistical methodologies and computational strategies for signal retrieval and parameter inference in the setting of continuous-state hidden Markov models, with envisioned applications in Bayesian inference and population dynamics. The research activity can be adapted to the profile and interests of the successful candidate regarding both the specific topic and the research approach. The successful candidate will also be part of the research group at the "de Castro" Statistics Initiative (https://www.carloalberto.org/stats) based at Collegio Carlo Alberto. FURTHER DETAILS - Gross salary: EUR 40,000 per year. Travel funds will also be made available. - Planned starting date: Jan 1st, 2024 (with some flexibility on postponement) - Contract: 24 months, subject to positive evaluation of the research activity after the first year. - Requirements: * Degree: already holding a PhD title is preferential but not mandatory. * Required background: solid knowledge of stochastic processes and provable coding skills. * Preferential background: familiarity with hidden Markov models and/or Bayesian inference and/or stochastic population dynamics. - Link to call: https://webapps.unito.it/albo_ateneo/ (Numero di repertorio: 5412) - Link to apply: https://pica.cineca.it/unito/ - Deadline: November 23rd, 2023. Further enquiries can be directed at matteo.ruggiero(a)unito.it. Best regards, Matteo Ruggiero --- Matteo Ruggiero University of Torino and Collegio Carlo Alberto www.matteoruggiero.it

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