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Seminario Prof. Domenico Marinucci
by Enrica Pirozzi 08 Sep '22

08 Sep '22

AVVISO di SEMINARIO Title: The Geometry of Time-Dependent Spherical Random Fields Prof. Domenico Marinucci Università di Roma Tor Vergata Abstract: The investigation of the behaviour for geometric functionals of random fields on manifolds has drawn recently considerable attention. In this talk, we consider fluctuations over time for the excursion area and the length of level curves of time-dependent Gaussian spherical random fields. We focus on both long and short memory assumptions; in the former case, we show that the fluctuations are dominated by a single component, corresponding to a second-order chaos evaluated on a subset of the multipole components for the random field. We prove the existence of cancellation points where the variance is asymptotically of smaller order; these points may not include the nodal case u=0, in marked contrast with recent results on the high-frequency behaviour of nodal lines for random eigenfunctions with no temporal dependence. In the short memory case, we show that all chaoses contribute in the limit, no cancellation occurs and a Central Limit Theorem can be established by Fourth-Moment Theorems and a Breuer-Major argument. The talk is based on joint works with Maurizia Rossi and Anna Vidotto. Il seminario si terrà il giorno 13 Settembre 2022 ore 12:00 nella Aula E terzo livello del Dipartimento Matematica e Applicazioni, Università di Napoli FEDERICO II, Complesso di Monte Sant'Angelo, Via Cintia, Napoli. Link al seminario su Teams: https://teams.microsoft.com/l/meetup-join/19%3aMQ4RZDBo_0G-K_PHxKtktVYAczOG… *** -- Enrica Pirozzi Dipartimento di Matematica e Applicazioni Universita' di Napoli FEDERICO II Via Cintia, Monte S.Angelo, 80126, NAPOLI, ITALY Tel. 081 675634 https://www.docenti.unina.it/ENRICA.PIROZZI

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Seminario Prof. Luisa Beghin
by Enrica Pirozzi 08 Sep '22

08 Sep '22

AVVISO di SEMINARIO Title: Non-gaussian processes linked to H-functions Prof.ssa Luisa Beghin Università di Roma La Sapienza Abstract. In the context of non-Gaussian analysis, Schneider [1] introduced grey noise measures, built upon Mittag-Leffler functions; analogously, grey Brownian motion and its generalizations were constructed (see, for example, [2], [3], [4], [5]). In [6], we construct and study a new non-Gaussian measure, by means of the incomplete-gamma function (exploiting its complete monotonicity).The related generalized processes, in the infinite dimensional setting, are also defined and, through the use of the Riemann-Liouville fractional operators, the (possibly tempered) Gamma-grey Brownian motion is consequently introduced. All the above mentioned processes allow modeling anomalous diffusions, mimicking the procedures of classical stochastic calculus. Finally, we present the extensions of the previous results obtained by means of the Fox H-functions, which generalize both the Mittag-Leffler and the incomplete-gamma functions (under appropriate assumptions). (This is a joint work with L. Cristofaro) [1] W.R. Schneider, Grey noise, in Ideas and Methods in Mathematical Analysis, Stochastics and Applications, vol. I, S. Albeverio, J.E. Fenstad, H. Holden, T. Lindstrom, eds., Cambridge University Press, Cambridge, 1990, 261-282. [2] A. Mura, G. Pagnini, Characterizations and simulations of a class of stochastic processes to model anomalous diffusion, Journal of Physics A: Math. Theor., 41, 2008, 285003, 22 p. [3] W. Bock, S. Desmettre, J.L. da Silva, Integral representation of generalized grey Brownian motion, Stochastics, 92 (4), 2020, 552-565. [4] J.L. da Silva, M. Erraoui, Generalized grey Brownian motion local time: existence and weak approximation, Stochastics, 87 (2), 2015, 347-361. [5] J.L. da Silva, M. Erraoui, Singularity of generalized grey Brownian motion and time-changed Brownian motion, AIP Conference Proceedings, vol. 2286, (1), 2020, article id.020002. [6] L. Beghin, L. Cristofaro, J. Gajda, Non-gaussian measures in infinite dimensional spaces: the gamma-grey noise, 2022, arXiv 2207.13609, submitted. Il seminario si terrà il giorno 13 Settembre 2022 ore 11:00 nella Aula E terzo livello del Dipartimento Matematica e Applicazioni, Università di Napoli FEDERICO II, Complesso di Monte Sant'Angelo, Via Cintia, Napoli. Link al seminario su Teams: https://teams.microsoft.com/l/meetup-join/19%3aMQ4RZDBo_0G-K_PHxKtktVYAczOG… *** -- Enrica Pirozzi Dipartimento di Matematica e Applicazioni Universita' di Napoli FEDERICO II Via Cintia, Monte S.Angelo, 80126, NAPOLI, ITALY Tel. 081 675634 https://www.docenti.unina.it/ENRICA.PIROZZI

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avviso di seminario: Mathematical AI for molecular data analysis
by Alessandra Micheletti 08 Sep '22

08 Sep '22

Con preghiera di diffusione *Annuncio di seminario* Il giorno 26 Settembre 2022 ore 15.00 nella Sala di Rappresentanza del Dipartimento di Matematica, Università degli Studi di Milano Via Saldini 50, Milano il* Dr. Kelin Xia,* *Nanyang Technological University, Singapore* terrà il seguente seminario *Mathematical AI for molecular data analysis* *Abstract:* Artificial intelligence (AI) based molecular data analysis has begun to gain momentum due to the great advancement in experimental data, computational power and learning models. However, a major issue that remains for all AI-based learning models is the efficient molecular representations and featurization. Here we propose advanced mathematics-based molecular representations and featurization (or feature engineering). Molecular structures and their interactions are represented as various simplicial complexes (Rips complex, Neighborhood complex, Dowker complex, and Hom-complex), hypergraphs, and Tor-algebra-based models. Molecular descriptors are systematically generated from various persistent invariants, including persistent homology, persistent Ricci curvature, persistent spectral, and persistent Tor-algebra. These features are combined with machine learning and deep learning models, including random forest, CNN, RNN, Transformer, BERT, and others. They have demonstrated great advantage over traditional models in drug design and material informatics. *Short Bio:* Dr. Kelin Xia obtained his Ph.D. degree from the Chinese Academy of Sciences in Jan 2013. He was a visiting scholar in the department of Mathematics, Michigan State University from Dec 2009-Dec 2012. From Jan 2013 to May 2016, he worked as a visiting assistant professor at Michigan State University. He joined Nanyang Technological University at Jun 2016. His research focused on Mathematical AI for molecular sciences. He has published >60 papers and has been PI and Co-PI for 15 grants (>3.0M SGD). Tutti gli interessati sono invitati a partecipare. Per informazioni contattare alessandra.micheletti(a)unimi.it -- ------------------------------------ Alessandra Micheletti Associate Professor - Probability and Mathematical Statistics ECMI <https://ecmiindmath.org/> Vice President Dept. of Environmental Science and Policy - ESP Università degli Studi di Milano via Saldini 50, 20133 Milano, Italy phone: +39-02503-16130 fax: +39-02503-16090 https://alessandramichelettiwebpage.wordpress.com/

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Seminario di Rongfeng Sun a Milano-Bicocca (9 set 2022)
by Francesco Caravenna 07 Sep '22

07 Sep '22

Ho il piacere di annunciare il seminario di Rongfeng Sun (National University of Singapore): "A new correlation inequality for Ising models with external fields" che si terrà venerdì 9 settembre 2022 alle ore 14:00 in aula U5-3014 (Dipartimento di Matematica e Applicazioni, Università di Milano-Bicocca). Trovate l'abstract di seguito. Tutti gli interessati sono invitati a partecipare. Francesco Caravenna %%%%%%%%%%%%%%%% Abstract. We study ferromagnetic Ising models on finite graphs with an inhomogeneous external field. We show that the influence of boundary conditions on any given spin is maximised when the external field is identically 0. One corollary is that spin-spin correlation is maximised when the external field vanishes. In particular, the random field Ising model on Z^d, d ≥ 3, exhibits exponential decay of correlations in the entire high temperature regime of the pure Ising model. Another corollary is that the pure Ising model on Z^d, d ≥ 3, satisfies the conjectured strong spatial mixing property in the entire high temperature regime. Based on joint work with Jian Ding and Jian Song. %%%%%%%%%%%%%%%% -- _________________________________________ Francesco Caravenna Dipartimento di Matematica e Applicazioni Università degli Studi di Milano-Bicocca Via Cozzi 55, 20125 Milano, Italy http://www.matapp.unimib.it/~fcaraven/ _________________________________________

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workshop Matematica per l'Intelligenza Artificiale e il Machine Learning: Giovani ricercatori
by Ernesto De Vito 05 Sep '22

05 Sep '22

Carissime e carissimi, vi segnalo che il 24 e 25 novembre 2022 presso Aula Magna Lingotto del Politecnico di Torino si svolgerà il workshop Matematica per l'Intelligenza Artificiale e il Machine Learning: Giovani ricercatori organizzato in collaborazione tra il Dipartimento di Scienze Matematiche "G. L. Lagrange" - Politecnico di Torino, Progetto MIUR Dipartimenti di Eccellenza 2018 - 2022 ed il Gruppo UMI "Matematica per l'Intelligenza Artificiale ed il Machine Learning". Il workshop è finalizzato alla presentazione dei recenti sviluppi della ricerca italiana legati alla mutua interazione tra matematica, intelligenza artificiale e Machine Learning ed è rivolto ai giovani ricercatori, anche non iscritti al gruppo UMI "Matematica per l'Intelligenza Artificiale ed il Machine Learning". È auspicata la presenza anche di ricercatori senior, ma le presentazioni orali saranno riservate ai giovani. La registrazione è obbligatoria per tutti i partecipanti compilando il modulo https://www.polito.it/survey3/index.php/831212?lang=en Chi volesse sottoporre un contributo ha tempo fino al 16 ottobre 2022. Maggiori informazioni sono disponibili sul sito dell'evento https://areeweb.polito.it/disma-excellence/events_2022/GiornateUMI/index.ht…. Vi chiedo gentilmente di diffondere l'iniziativa a tutti i giovani interessati. Mi scuso con coloro che hanno già ricevuto l'annuncio. Grazie. Un caro saluto. Ernesto De Vito

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Seminar of Elvezio Ronchetti postponed
by Enea Bongiorno 05 Sep '22

05 Sep '22

Dear All, we regret to inform you that the seminar of Prof. Elvezio Ronchetti, originally scheduled for the 8th of September, will not go ahead as planned, and will be postponed to a later date still to be announced. Best regards, Enea Bongiorno -- 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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Fwd: Lecturer in probability at the University of Bath
by Elisabetta Candellero 05 Sep '22

05 Sep '22

Ricevo ed inoltro. Elisabetta ---------- Forwarded message --------- From: Matt Roberts <mattiroberts(a)gmail.com> Date: Mon, Sep 5, 2022 at 10:43 AM Subject: Lecturer in probability at the University of Bath To: <APPLIEDPROB(a)jiscmail.ac.uk> Dear colleagues, The Probability Laboratory at Bath (Prob-L@B) is advertising for a Lecturer (Assistant Professor) position in probability: https://www.bath.ac.uk/jobs/Vacancy.aspx?ref=CC9730 The application deadline is 25 September. Please circulate widely, and feel free to get in touch if you have any questions. Best wishes, Matt ######################################################################## To unsubscribe from the APPLIEDPROB list, click the following link: https://www.jiscmail.ac.uk/cgi-bin/WA-JISC.exe?SUBED1=APPLIEDPROB&A=1 This message was issued to members of www.jiscmail.ac.uk/APPLIEDPROB, a mailing list hosted by www.jiscmail.ac.uk, terms & conditions are available at https://www.jiscmail.ac.uk/policyandsecurity/

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Assegno di ricerca presso l'Istituto per le Applicazioni del Calcolo (CNR)
by Maurizio Ceseri 02 Sep '22

02 Sep '22

Buongiorno, segnalo la seguente opportunità presso l’Istituto per le Applicazioni del Calcolo, nell’ambito delle attività di ricerca e trasferimento tecnologico del progetto Sportello Matematico per l'Innovazione e le Imprese. È indetta una selezione pubblica, per titoli e colloquio, per il conferimento di n. 1 assegno di ricerca annuale, tipologia A) “Assegni professionalizzanti”, bandito dall’Istituto per le Applicazioni del Calcolo “Mauro Picone” del CNR sulla tematica: "Modelli e sistemi di ottimizzazione matematica per la pianificazione degli investimenti" Requisiti: Diploma di Laurea Specialistica/Magistrale in una delle seguenti discipline: Matematica, Fisica, Statistica, Scienze dell’Informazione, Ingegneria, Economia Scadenza invio domande: 16/09/2022 Data colloquio: 20/09/2022 Al seguente link è disponibile il bando con tutte le informazioni: http://bandi.urp.cnr.it/doc-assegni/documentazione/12902_DOC_IT.pdf Grazie Cordiali Saluti Maurizio Ceseri Sportello Matematico per l'Innovazione e le Imprese Istituto per le Applicazioni del Calcolo (IAC-CNR) via dei Taurini 19, 00185 Roma (Italy) Tel: (+39) 0649937369 Website: sportellomatematico.it

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Workshop Interacting particle systems and applications, Trento Sep 5-7
by Mario Maurelli 02 Sep '22

02 Sep '22

Dear colleagues, We are happy to announce the workshop "*Interacting particle systems and applications*" which will take place at the *University of Trento* on* September 5th to 7th, 2022*. The workshop aims at discussing recent developments in the theory of interacting systems, with emphasis on fostering collaborations and discussions among junior researchers. At the following webpage (which will be kept up-to-date) https://sites.google.com/view/ipsa2022 you can find useful information on the workshop, including list of speakers, venue and (when available) schedule and abstracts of the talks. Participation is free but *registration is mandatory. We kindly ask you to register no later than June 30th*. The workshop is planned as a hybrid event (in-person and online); to register for in person participation, click on "register" button (in the home webpage of the workshop); to register for online participation, send an email to ipsa[dot]maths[at]unitn[dot]it . We are looking forward to meeting you in Trento. All the best, The organizing committee Michele Coghi, Mario Maurelli, Carlo Orrieri, Giovanni Zanco

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Seminar by Elvezio Ronchetti (University of Geneva) in Novara
by Enea Bongiorno 31 Aug '22

31 Aug '22

Dear colleagues, We are glad to invite you to the seminar that will take place on the 8th of September, at 16.00: - in presence: room 101 of the campus Perrone, via Perrone, 18, Novara Università del Piemonte Orientale, Dipartimento di Studi per l’Economia e l’Impresa. - on-line at the link: https://meet.google.com/xaz-bwct-dqo *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. Best wishes, Enea Bongiorno -- 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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