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Webinar PRISMA 6 febbraio 23 : Di Crescenzo-Cappelletti
by Claudia Ceci 01 Feb '23

01 Feb '23

Buongiorno a tutte/i, ho il piacere di annunciare il prossimo webinar del ciclo di seminari online promosso dal Gruppo UMI PRISMA ( http://www.umi-prisma.polito.it/index.html) *Lunedi’ 6 febbraio 2023* *ore 16-17 Antonio Di Crescenzo* *Titolo: *You can model so many things with birth-death processes *Abstract:* Birth-death processes constitute the continuous-time analog of random walks, and are largely adopted as a tool for stochastic modeling. Indeed, the richness of the birth and death rates allows modeling a variety of phenomena, ranging from evolutionary dynamics and neuronal modeling, to queueing and reliability theory, for instance. Various methods of analysis have been developed for determining quantities of interest, such as stationary distributions and first-passage-time distributions. The talk is aimed at providing a review of some recent results on growth-evolution models characterized by time-dependent growth rates and their stochastic counterpart described by birth-death processes. The analysis focuses on generalizations of the Gompertz and logistic growth models, and on the related birth-death processes having linear and quadratic rates. A diffusion approximation leading to a time-inhomogeneous geometric Brownian motion is also treated. We also present certain generalizations involving extended birth-death processes on a star-graph defined as a lattice formed by the integers of semiaxes joined at the origin. Specifically, we deal with (i) the analysis of the transient and asymptotic behavior of a multispecies birth-death-immigration process and of a continuous-time multi-type Ehrenfest model, (ii) the construction and the study of suitable diffusion approximations for the considered models, leading to two processes belonging to the class of Pearson diffusions on the spider. *ore 17-18* *Daniele Cappelletti* *Titolo: * Solving the chemical recurrence conjecture in two dimensions *Abstract:* Stochastic reaction networks are continuous-time Markov chains typically used in biology, epidemiology, and population dynamics. The goal is to keep track of the abundance of the different reactants over time. What makes them special from a mathematical point of view is the fact that their qualitative dynamics is described by a finite set of allowed transformation rules, referred to as "reaction graph". A long-standing conjecture is that models with a reaction graph composed by a union of strongly connected components are necessarily positive recurrent, meaning that each single state is positive recurrent. In my talk I will discuss why the conjecture makes intuitive sense and why it is difficult to prove it. I will then show how my collaborators and I adapted Forster-Lyapunov techniques to prove the conjecture in two dimensions. Joint work with: Andrea Agazzi, David Anderson, Jonathan Mattingly Qui di seguito il link per la partecipazione https://teams.microsoft.com/l/meetup-join/19%3ad685b25ed15f4821ac5168e63cf9… Cari saluti, Claudia Ceci *********************************************************************** Claudia Ceci Dipartimento di Metodi e Modelli per l’Economia, il Territorio e la Finanza (MEMOTEF) Università di Roma La Sapienza Via Del Castro Laurenziano 9 Roma 00161 Italy Email: claudia.ceci(a)uniroma1.it

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Distinct and well-recognizable notations for writings in Probability and Statistics
by Antonio DI CRESCENZO 30 Jan '23

30 Jan '23

Upon invitation of Wolfgang Runggaldier, Professor Emeritus at the University of Padua, I am pleased to send you the attached file, which contains interesting remarks by Jordan Stoyanov, aimed at improving and unifying the use of notations and abbreviations in scientific writing in Probability and Statistics cf. https://drive.google.com/file/d/1-7lsVkmbZR1LvVmZTnIf3UAYO3K9me8e/view?usp=… -- ============================================= Antonio Di Crescenzo Dipartimento di Matematica Università degli Studi di Salerno Via Giovanni Paolo II, n. 132 <https://maps.google.com/?q=Via+Giovanni+Paolo+II,+n.+132+%0D%0A84084+Fiscia…> 84084 Fisciano (SA) Italy Tel. +39-089-963349 E-mail(1): adicrescenzo(a)unisa.it E-mail(2): adicresc(a)gmail.com Web: http://www.unisa.it/docenti/antoniodicrescenzo/index Skype: antoniodicrescenzo =============================================

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I: [pde-seminar] PDE seminar with Filippo de Feo
by Giuseppina Guatteri 30 Jan '23

30 Jan '23

Ricevo e inoltro. Il seminario si terrà ad Atlanta il 31 gennaio alle ore (per noi) 21:00. Cordiali saluti Giuseppina. Giuseppina Guatteri Dipartimento di Matematica Politecnico di Milano Via Bonardi, 9 20133 Milano tel.: +390223994556 fax.:+390223994513 email: giuseppina.guatteri(a)polimi.it "Happiness can be found even in the darkest of times, if one only remembers to turn on the light" A. Dumbledore ________________________________ ________________________________ From: pde-seminar-request(a)lists.gatech.edu <pde-seminar-request(a)lists.gatech.edu> on behalf of Chen, Gong <gc(a)math.gatech.edu> Sent: Sunday, January 29, 2023 6:33 AM To: pde-seminar(a)lists.gatech.edu <pde-seminar(a)lists.gatech.edu> Subject: [pde-seminar] PDE seminar with Filippo de Feo Dear all, On Tuesday, Jan 31, we will have our visitor Filippo de Feo from Politecnico di Milano to speak for our PDE seminar in person in Skiles 006. Filippo’s talk information can be found here https://math.gatech.edu/seminars-colloquia/series/pde-seminar/filippo-de-fe… The talk will also be streamed on zoom: https://gatech.zoom.us/j/95574359880?pwd=cGpCa3J1MFRkY0RUeU1xVFJRV0x3dz09 Meeting ID: 955 7435 9880<tel:7435%209880> Passcode: PDE Best wishes, Gong

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SPASS Seminar: Dejun Luo
by Francesco Grotto 30 Jan '23

30 Jan '23

Dear Colleagues, We would like to invite you to the following SPASS seminar, jointly organized by UniPi, SNS, UniFi and UniSi: *Convergence rates and CLT for stochastic inviscid Leray-model with transport noise* *Dejun Luo* (Chinese Academy of Science) The seminar will take place on TUE, 31.1.2023 at 14:00 CET in Sala Seminari, Dipartimento di Matematica, Pisa and streamed online at the link below. The organizers, A. Agazzi, G. Bet, A. Caraceni, F. Grotto, G. Zanco https://sites.google.com/unipi.it/spass -------------------------------------------- *Abstract: * *The stochastic inviscid Leray- model perturbed by multiplicative transport noise is considered on the torus. Under a suitable scaling of the noise, it is shown that the weak solutions converge, in some negative Sobolev spaces, to the unique solution of the deterministic viscous Leray- model. Interpreting such limit result as a law of large numbers, we also study the underlying central limit theorem and provide an explicit convergence rate. This talk is based on a joint work with PhD Bin Tang.*

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PhD course "Concentration of probability measures" by Nicola Turchi at Milano-Bicocca
by Maurizia Rossi 26 Jan '23

26 Jan '23

Dear colleagues, I would like to inform you that *Dr. Nicola Turchi* (University of Milano-Bicocca) will deliver a PhD course entitled *"Concentration of probability measures"* from *January 30th* to April 3rd 2023* in presence* at the Department of Mathematics and its Applications, University of Milano-Bicocca, and *live streaming*. *For more information* https://drive.google.com/file/d/1pRkD4HP2vMGE_AssgQ4LR75TqzCj0wvb/view Please do not hesitate to write an email to *nicola.turchi(a)unimib.it <nicola.turchi(a)unimib.it>* should you need further information. Best regards, Maurizia Rossi -- Maurizia Rossi Dipartimento di Matematica e Applicazioni Università degli Studi di Milano-Bicocca https://mauriziarossi.wordpress.com

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PhD course STOCHASTIC PARTIAL DIFFERENTIAL EQUATIONS, Politecnico di Milano
by Luca Scarpa 26 Jan '23

26 Jan '23

Announcement: PhD Course on STOCHASTIC PARTIAL DIFFERENTIAL EQUATIONS by Dr. Luca Scarpa Lectures: 20/02, 27/02, 06/03, 13/03, 20/03, 27/03, 03/04, 12/04, 17/04 Location: Dipartimento di Matematica (III piano), Politecnico di Milano, Via Bonardi 9, Milano Enrolment information: https://www.dottorato.polimi.it/futuri-dottorandi/corsi-singoli Course webpage: https://www11.ceda.polimi.it/schedaincarico/schedaincarico/controller/sched… Best regards, Luca Scarpa ----- Luca Scarpa, PhD Tenure-Track Assistant Professor Department of Mathematics Politecnico di Milano Via E. Bonardi 9 20133 Milano, Italy e.mail: luca.scarpa(a)polimi.it url: https://sites.google.com/view/lucascarpa

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Ph.D. positions in "Physics-Informed or Theory-Driven machine learning" at the TU Chemnitz
by Imma Curato 25 Jan '23

25 Jan '23

Dear Colleagues, The department of Mathematics at the TU Chemnitz invites applications for two 3 years Ph.D. positions to work on projects in "Physics-informed or theory-guided machine learning." The deadline for the application is 10.02. More information on the call can be found in the link below. https://www.tu-chemnitz.de/verwaltung/personal/stellen/224034_1_LH.php Don't hesitate to write to imma.curato(a)uni-ulm.de<mailto:imma.curato@uni-ulm.de> for any position inquiries. Best Regards Imma Curato

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Postdoc position in Milano
by Stefania Ugolini 25 Jan '23

25 Jan '23

We recall the approaching deadline January 30-th 2023 of the postdoc position at the Department of Mathematics of Università degli Studi (Milano) entitled: Stochastic methods in quantum system Best regards, Stefania Ugolini. https://www.unimi.it/sites/default/files/2022-12/BANDO_tipo_A_2022BIS%20eng…

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RTDA SECS/S-01 Politecnico di Milano
by Laura Maria Sangalli 24 Jan '23

24 Jan '23

Con preghiera di massima diffusione a tutti i potenziali interessati. *** Nell'ambito del Progetto di Partenariato Esteso GRINS è appena stata bandita una posizione RTD-A nel settore SECS-S/01 sul tema Statistical Learning per il progetto GRINS - Growing Resilient, INclusive and Sustainable Scadenza: 13-02-23 Dettagli della procedura: bando<https://www.polimi.it/personale-docente/lavorare-al-politecnico/bandi-e-con…> L’attività di ricerca verterà sullo sviluppo di modelli statistici per la previsione ex-ante e la valutazione ex-post dell'impatto degli investimenti in infrastrutture e servizi per migliorare l'accessibilità, la resilienza e la sostenibilità dei territori e delle città (WP2 Progetto GRINS – PNRR PE9 Spoke7). Sarà necessario comprendere come i fattori tangibili (infrastrutture e infostrutture) interagiscono con quelli intangibili (coesione e inclusione sociali, mobilità,…) per definire la sostenibilità di un territorio e a) identificare gli elementi funzionali a rendere i territori accessibili; b) individuare i gap territoriali e che limitano la sostenibilità e c) definire e valutare politiche per colmare tali gap. Sono richieste competenze avanzate di Statistical Learning e Analisi Dati, e comprovata conoscenza di Data Management e programmazione (R, Python). Il ruolo prevede lo svolgimento di attività didattica. Per informazioni: Prof. Francesca Ieva – francesca.ieva(a)polimi.it<mailto:francesca.ieva@polimi.it> —— Laura Maria Sangalli MOX - Dipartimento di Matematica Politecnico di Milano Piazza Leonardo da Vinci 32 20133 Milano - Italy (+39) 02 2399 4554 laura.sangalli(a)polimi.it<mailto:laura.sangalli@polimi.it> https://sangalli.faculty.polimi.it

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Seminario Prof. E. Ronchetti
by Enea Bongiorno 24 Jan '23

24 Jan '23

Buongiorno, con piacere segnalo il seguente seminario: -------------------------------- 31 gennaio ore 16.30 - aula 101, campus Perrone, via Perrone, 18, Novara. Università del Piemonte Orientale. - on-line: meet.google.com/yvq-ccbt-pzt Title: *An Introduction to Saddlepoint Approximations* *Prof. Elvezio Ronchetti* Research Center for Statistics and Geneva School of Economics and Management University of Geneva, Switzerland Elvezio.Ronchetti(a)unige.ch www.unige.ch/gsem/en/research/faculty/honorary-professors/elvezio-ronchetti/ Abstract: Classical inference in statistics is typically carried out by means of standard (first-order) asymptotic theory. However, the asymptotic distribution of estimators and test statistics can provide a poor approximation of tail areas especially when the sample size is moderate to small. This can lead to inaccurate p-values and confidence intervals. Several techniques, both parametric and nonparametric, have been devised to improve first-order asymptotic approximations, including e.g. Edgeworth expansions, Bartlett's corrections, and bootstrap methods. Here we focus on saddlepoint techniques, introduced into statistics by H. Daniels, and more generally on small sample asymptotic techniques, an expression coined by F. Hampel to express the spirit of these methods. Indeed they provide very accurate approximations of tail probabilities down to small sample sizes and /or out in the tails. Moreover, these approximations exhibit a relative error of order 1/n, an improvement with respect to other available approximations obtained by means of Edgeworth expansions and similar techniques. We will review the basic ideas, show the link with other nonparametric methods such as empirical likelihood, and outline some connections to information theory and optimal transportation. ----------------------------------- Locandina dell'evento <https://drive.google.com/file/d/1INut-6sD210FwZ437k3ydQA5P3xchdIr/view?usp=…> Seminari Matematici Statistici <https://sites.google.com/uniupo.it/seminari-ms/home-page> ----------------------------------- Tutti gli interessati sono invitati a partecipare. Cordiali saluti, Enea -- Enea Bongiorno,PhD Associate Professor of Statistics Università degli Studi del Piemonte Orientale Via Perrone 18, 28100, Novara, Italia Phone: +390321375317 enea.bongiorno(a)uniupo.it upobook.uniupo.it/enea.bongiorno

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