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SPDEvent
by Lorenzo Zambotti 02 Jun '22

02 Jun '22

---------------------------------------------- Dear colleagues, We are happy to announce the establishment of the SpdePostdocDocEvent (SPDEvent) that will be held in presence at the University of Bielefeld, Germany, September 7-9, 2022. The SPDEvent will provide a platform to young researchers working on stochastic partial differential equations and broadly related fields, allowing them to network, exchange ideas, present their own research and initiate collaborations. The event is meant exclusively for Phd students and Postdocs. All details are provided on the conference web page https://www.uni-bielefeld.de/fakultaeten/mathematik/ag/hofmanova/conference… Limited travel and hotel funding is available and will be allocated on a "first come first serve" basis. We explicitly encourage female researchers to apply. We would appreciate if you would forward this message to anybody who might be interested in attending and are looking forward to welcoming you in Bielefeld, The organizers, Florian Bechtold Stefanie Berkemeier Theresa Lange -- Lorenzo Zambotti Postal Address: Sorbonne Universite', LPSM - Boite courrier 158 4, place Jussieu - 75252 Paris cedex 05, France Bureau n. 22, 2eme etage, tours 16/26, Jussieu E-mail: lorenzo.zambotti(a)upmc.fr https://www.lpsm.paris/users/zambotti/

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Seminar in Padova by Prof. Umut Cetin (in presence and online)
by Giorgia Callegaro 01 Jun '22

01 Jun '22

Dear all, you're invited to the next seminar in Probability and Finance that will take place next Monday, at 4 pm, in hybrid mode. All the details follow: * Speaker: Prof. Umut Cetin (LSE) * Date and time: Monday 6th June 2022, 4pm * Room (Torre Archimede): 1BC45 * Zoom link: please find it here https://www.math.unipd.it/~bianchi/seminari/ * Title: POWER LAWS IN MARKET MICROSTRUCTURE * Abstract: We develop an equilibrium model for market impact of trades when investors with private signals execute via a trading desk. Fat tails in the signal distribution lead to a power law for price impact, while the impact is logarithmic for lighter tails. Moreover, the tail distribution of the equilibrium trade volume obeys a power law. The spread decreases with the degree of noise trading and increases with the number of insiders. In case of a monopolistic insider, the last slice traded against the limit order book is priced at the fundamental value of the asset reminiscent of Kyle (1985). However, competition among insiders leads to aggressive trading, hence vanishing profit in the limit. The model also predicts that the order book flattens as the amount of noise trading increases converging to a model with proportional transactions costs with non-vanishing spread. See you soon, Giorgia -- 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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Seminario S Castruccio - Politecnico di Milano
by Laura Maria Sangalli 31 May '22

31 May '22

Si avvisa che in data 07-06-2022, alle ore 15:30 precise presso il Politecnico di Milano, Dipartimento di Matematica, Aula Saleri sesto piano (Edificio 14 - La Nave), nell’ambito delle attività del MOX, si svolgerà il seguente seminario: Stefano Castruccio, University of Notre Dame Titolo: Physics-Informed, Data-Driven and Hybrid Approaches to Space-Time Systems Abstract: In this talk I will discuss two different approaches to characterize space-time systems. This first one is model-driven and loosely inspired by physics, assumes that the system is locally diffusive through a stochastic partial differential equation, and can be efficiently approximated with a Gaussian Markov random field. This approximation will be used to produce a stochastic generator of simulated multi-decadal global temperature, thereby offering a fast alternative to the generation of large climate model ensembles. The second approach is instead data-driven, and relies on (deep) neural networks in time. Instead of traditional machine learning methods aimed at inferring an extremely large parameter space, we instead rely on an alternative fast, sparse and computationally efficient echo state network dynamics on an appropriately dimensionally reduced spatial field. The additional computational time is then used to produce an ensemble and probabilistically calibrate the forecast. The approach will be used to produce air pollution forecasts from a citizen science network in San Francisco and forecasting wind energy in Saudi Arabia. Towards the end of the presentation, I will discuss how these two broad frameworks could be used in synergy to allow for improved predictability and understanding of space-time systems whose physical understanding is currently limited and/or largely influenced by parametrizations. Link: https://mox.polimi.it/mox-seminars/?id_evento=2169 Il link per seguire il seminario online sarà reso disponibile su Link zoom: https://polimi-it.zoom.us/j/91015435557 L’evento è patrocinato da GRASPA https://graspa.org Tutti gli interessati sono cordialmente invitati a partecipare, Laura Sangalli —— Laura Maria Sangalli MOX - Dipartimento di Matematica Politecnico di Milano Piazza Leonardo da Vinci 32 20133 Milano - Italy tel: +39 02 2399 4554 fax: +39 02 2399 4568 email: laura.sangalli(a)polimi.it<mailto:laura.sangalli@polimi.it> url: http://mox.polimi.it/~sangalli

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Posizione RTDA in MAT06 Sapienza Roma
by Alessandro Degregorio 31 May '22

31 May '22

Cari tutti, in data odierna è stato pubblicato il Bando n. RTDA/03/2022 PROT. N. 805/2022 della procedura selettiva, per titoli e colloquio, per il reclutamento di* n. 1 ricercatore con rapporto di lavoro a tempo determinato di tipologia “A”*, per l’esecuzione del programma di ricerca relativo al seguente progetto: “Teoria dei processi aleatori” - Settore concorsuale 01/A3, *Settore scientifico-disciplinare **MAT/06*, presso il Dipartimento di Scienze Statistiche, Università di Roma "La Sapienza". Il bando è visionabile sul sito della trasparenza Sapienza al seguente link: https://web.uniroma1.it/trasparenza/bando/191351_rtda/03/2022 Si prega di dare la massima diffusione del presente avviso presso tutti gli interessati. Cordiali saluti, Alessandro De Gregorio

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avviso di seminari
by Barbara Martinucci 30 May '22

30 May '22

UNIVERSITA' DI SALERNO Dipartimento di Matematica AVVISO DI SEMINARI Mercoledì 1 giugno 2022, nella sala del consiglio del Dipartimento di Matematica, edificio F2, livello 1, si terranno i seguenti seminari in presenza e online (su Teams): 1) ore 15:00-15:45 - Prof. Enrico Scalas (University of Sussex, Brighton, UK) Limit theorems for prices of options written on semi-Markov processes link: https://teams.microsoft.com/l/meetup-join/19%3ameeting_ZmRiNmFjZmUtNmFlMS00… We consider plain vanilla European options written on an underlying asset that follows a continuous time semi-Markov multiplicative process. We derive a formula and a renewal type equation for the martingale option price. In the case in which intertrade times follow the Mittag-Leffler distribution, under appropriate scaling, we prove that these option prices converge to the price of an option written on geometric Brownian motion time-changed with the inverse stable subordinator. For geometric Brownian motion time changed with an inverse subordinator, in the more general case when the subordinator's Laplace exponent is a special Bernstein function, we derive a time-fractional generalization of the equation of Black and Scholes. This is joint work with Bruno Toaldo 2) ore 16:00-16:45 - Dott. Giacomo Ascione (Scuola Superiore Meridionale, Napoli) Bulk behaviour of ground states for relativistic Schrödinger operators with spherical potential well link: https://teams.microsoft.com/l/meetup-join/19%3ameeting_OTMzYTBmYTAtZDFiYS00… In this talk, we show a probabilistic representation of the ground state of a massive or massless Schrödinger operator with a spherical potential well. Such a representation will lead to a two-sided approximation with different behaviours depending on the fact that we are inside or outside the well. Both of them rely on some functionals of the first exit time of a subordinated Brownian motion from a suitable open set (the well or its complement). We also develop a moving planes-type argument to prove the radial monotonicity of the ground state, which is one of the main tools of the two-sided bounds. This is joint work with József Lőrinczi. Gli interessati sono cordialmente invitati a partecipare, Cordiali saluti, Barbara Martinucci

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5 Luglio (online): La Statistica al CNR al servizio del Paese
by Fabrizio Ruggeri 30 May '22

30 May '22

Vi segnalo che la sede milanese dell'IMATI CNR ha organizzato un evento online il 5 luglio in cui 12 ricercatori CNR, di diversi istituti e diversa formazione, presenteranno loro lavori. L'iniziativa, in collaborazione con la Societa' Italiana di Statistica e nell'ambito delle iniziative verso il Festival della Statistica e della Demografia (Treviso, 16-18 Settembre), intende mostrare alla comunita' statistica nazionale cio' che si fa al CNR (e non e' praticamente conosciuto da questa) e anche favorire interazioni fra ricercatori CNR che spesso operano senza sapere che ci sono altri colleghi che utilizzano e sviluppano metodi e modelli stocastici. Il sito web e' https://sis.mi.imati.cnr.it/index.html E' possibile registrarsi entro il 26 giugno. Nei giorni successivi verranno inviate ai registrati le indicazioni sulla piattaforma online che verra' utilizzata. Cordiali saluti Fabrizio Ruggeri -- Fabrizio Ruggeri fabrizio AT mi.imati.cnr.it CNR IMATI tel +39 0223699532 Via Alfonso Corti 12 fax +39 0223699538 I-20133 Milano (Italy) www.mi.imati.cnr.it/fabrizio

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teaching assistants
by Marco Scarsini 29 May '22

29 May '22

We are looking for teaching assistants for various mathematical courses in the fall semester. Some of these courses are taught in English and some in Italian. In particular, we need TAs for a master course in Probability (taught in English). ******************************************************* Marco Scarsini Dipartimento di Economia e Finanza Luiss University Viale Romania 32 00197 Roma, ITALY URL: http://docenti.luiss.it/scarsini/

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Probability Seminar in Sapienza
by Lorenzo Taggi 26 May '22

26 May '22

Dear All, next Tuesday Nicolas Forien (Sapienza Università di Roma) will give a seminar talk on particle systems and interacting random walks. Please find the title and the abstract below. Best regards, Lorenzo Taggi Tuesday 31st of May, 16.15, Dipartimento di Matematica Università Sapienza, Aula Consiglio *Title:* On the phase transition of activated random walks *Abstract:* The Activated Random Walk model consists of particles which perform independent random walks on a graph and fall asleep with a certain rate. Sleeping particles stop moving and are awaken when another particle arrives on the same site. The model on Z^d presents a phase transition: depending on the density of particles (initially all active) and on the sleep rate, either almost surely each particle eventually falls asleep forever (fixating phase), or almost surely no particle falls asleep forever (active phase). In this talk, I will present a joint work with Alexandre Gaudillière (arxiv.org/abs/2203.02476) showing the existence of an active phase on Z^2: for every positive initial density of particles, for a sufficiently low sleep rate, almost surely no particle falls asleep forever.

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Digital ICMNS 20202 - Minisymposia announcement, and call for submissions
by Massimiliano ... 25 May '22

25 May '22

Dear all, We are delighted to announce a tentative programme of the 8th International Conference on Mathematical Neuroscience (ICMNS 2022) which will take place in a virtual format, via Zoom, on July 6-8, 2022, between 14:00 and 18:00 (GMT+2). Attendance is free but requires registration via our website https://www.danieleavitabile.com/icmns2022digital We would like to remind you that the call for micro-talk submissions is open until the 31st of May. Micro-talk sessions are one-hour sessions consisting of a sequence of very short introductions (2 minutes, 1 slide) by the presenters to their research, followed by an opportunity to chat with individual presenters about their research in breakout rooms. You can submit micro-talks using this link https://tinyurl.com/3e3fu8wv It is our pleasure to confirm that this year's plenary speakers will be * Dani S. Bassett (University of Pennsylvania, USA) * Sue Ann Campbell (University of Waterloo, Canada) * Thomas Serre (Brown University, USA) In addition, there will be 6 minisymposium sessions: MS1: Learning (and compressing) stochastic sequences of events, organised by Antonio Galves (Universidade de São Paulo, Brasil). Speakers: Aline Duarte, Noslen Hernández, Marcela Swarc, Claudia Vargas. MS2: Patterns and Rhythms in Balanced Neural Networks, organised by James MacLaurin (New Jersey Institute of Technology, USA). Speakers: Mark Goldman Olivia Gozel Robert Rosenbaum, Moshe Silverstein. MS3: Nonlinear PDEs in neuroscience, organised by Pierre Jules Abel Roux (University of Oxford, UK) and Susanne Solem (Norwegian University of Life Sciences, Norway). Speakers: Alain Blaustein, Xu’an Dou, Delphine Salort. MS4: Metastable dynamics in neural circuits, organised by Tilo Schwalger (Technische Universität Berlin, Germany). Speakers: Daniel Levenstein, Maurizio Matti, Luca Mazzucato, Bastian Pietras. MS5: Dynamical systems for neurological disorders, Organised by Christoffer Alexandersen (University of Oxford, UK) and Louisiane Lemaire (Humboldt-Universität zu Berlin, Germany). Speakers: Georgia Brennan, Damien Depannemaecker, Efstathios Pavlidis, Heike Stein, MS6 Stochastic models for neuronal activity, organised by Laura Sacerdote (University of Turin, Italy). Speakers: Giuseppe D'Onofrio, Ryota Kobayashi, Tomar Rimjhim, Ohla Shchur. We look forward to seeing you at ICMNS2022. The Organising Committee Daniele Avitabile Áine Byrne Massimiliano Tamborrino Etienne Tanré ------ Dr. Massimiliano Tamborrino Assistant Professor Department of Statistics University of Warwick https://warwick.ac.uk/tamborrino

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One World ABC Seminar - Harita Dellaporta - May 25 - 11.30am UK time
by Massimiliano ... 24 May '22

24 May '22

Dear all, I forward you an invitation for an incoming talk at the One World ABC seminar series on Wednesday May 25, 11.30am UK time. Title, abstract and link to join are reported below. Best, Massimiliano ------ Dr. Massimiliano Tamborrino Assistant Professor Department of Statistics University of Warwick https://warwick.ac.uk/tamborrino<https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwarwick.a…> --------------------------------------------------------------------- Dear all, our next One WorldABC Seminar<https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwarwick.a…> on May 25 is quickly approaching! Our next speaker will be Harita Dellaporta<https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwarwick.a…>, who will talk about "Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap", on Wednesday May 25, at 11.30am UK time, with an abstract reported below. Please note the different time and date! The Zoom link to join the talk is https://univ-grenoble-alpes-fr.zoom.us/j/99914483254?pwd=UzhjYWJFSndHdEN2Rk…<https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Funiv-gren…> Password: 601768 We look forward to seeing you on Wednesday! Best wishes, Massimiliano on the behalf of the One World ABC Seminar Organisers. When: Wednesday May 25, 11.30am UK time Speaker: Harita Dellaporta<https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwarwick.a…> (University of Warwick) Title: Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap Abstract: Simulator-based models are models for which the likelihood is intractable but simulation of synthetic data is possible. They are often used to describe complex real-world phenomena, and as such can often be misspecified in practice. In this talk, I will present a novel algorithm based on the posterior bootstrap and maximum mean discrepancy estimators. This leads to a highly-parallelisable Bayesian inference algorithm with strong robustness properties. This is demonstrated through an in-depth theoretical study which includes generalisation bounds and proofs of frequentist consistency and robustness of our posterior. The approach is then assessed on a range of examples including a g-and-k distribution and a toggle-switch model. ------ Dr. Massimiliano Tamborrino Assistant Professor Department of Statistics University of Warwick https://warwick.ac.uk/tamborrino<https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwarwick.a…> -- You received this message because you are subscribed to the Google Groups "sis-news" group. To unsubscribe from this group and stop receiving emails from it, send an email to sis-news+unsubscribe(a)googlegroups.com<mailto:sis-news+unsubscribe@googlegroups.com>. To view this discussion on the web visit https://groups.google.com/d/msgid/sis-news/AM7PR01MB6547EEF0B2A018D4D68F60A…<https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fgroups.go…>.

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