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topical collection on JOTP
by Bruno Toaldo 31 Oct '24

31 Oct '24

Dear All, The *Journal of Theoretical Probability* has recently launched a topical collection titled *"Non-Markov Dynamics and Non-Local Operators"* https ://link.springer.com/collections/fhbhjheefi. This initiative responds to the growing interest in modeling anomalous phenomena, such as anomalous relaxations and diffusions. The scope of this theory encompasses various aspects of random processes, including, but not limited to, semi-Markov processes, continuous-time random walks, (generalized) fractional Brownian motions, long-range dependent processes, and non-Gaussian measures. This topical collection invites submissions on recent advances in these areas broadly, including works focused on specific classes of non-Markov processes or non-local operators with potential applications in probability theory. Submissions for publication are now open. All submitted papers will follow the journal’s standard peer-review process. The review will be managed by the Editors-in-Chief, myself, and Dr. Giacomo Ascione as guest editor. Please feel free to share this announcement: https://link.springer.com /journal/10959/updates/27709086. Thank you all, and best wishes, Giacomo and Bruno

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call for paper
by Enea Bongiorno 30 Oct '24

30 Oct '24

Carissimi, segnalo la seguente Special Issue di EcoSta (Econometrics and Statistics) con deadline 30 Giugno. Cordiali saluti, Enea ------------------- Special Issue on HIGH-DIMENSIONAL AND FUNCTIONAL DATA ANALYSIS Econometrics and Statistics http://www.elsevier.com/locate/ecosta We are inviting submissions to the special issue of the journal Econometrics and Statistics dedicated to High-dimensional and Functional Data Analysis. Such data structures have been an important focus of methodological, theoretical and applied statistics research for over two decades, with applications areas including biostatistics, economics, finance, chemometrics, environmetrics, genetics, geophysics, and neuroimaging. The aim of this special issue is to collect research papers concerned with computational and data-analytic aspects of high-dimensional and functional data analysis. Papers in the following areas are particularly welcome, as long as they pertain to the general theme of the special issue: Classification, clustering , discrimination, prediction; Dependent data structures; Hypothesis testing and model selection; Nonparametric modeling; Statistical Learning; high-dimensional econometrics; large panels. In order to be considered for publication, a submission must have a significant novel component in either high-dimensional or functional data analysis with emphasis on methodological, computational or theoretical aspects or novel analysis of important new data sets. Authors who are uncertain about the suitability of their paper should contact the editors. Submissions will be refereed according to standard procedures for Econometrics and Statistics. Information about the journal can be found at http://www.elsevier.com/locate/ecosta. The deadline for submissions is 30 June 2025. However, papers can be submitted at any time and once they are received, they will enter the editorial system immediately. Papers for the special issue should be submitted using the Elsevier Electronic Submission tool EM: https://www.editorialmanager.com/ecosta/. In the EM, please choose the special issue on High-dimensional and Functional Data Analysis. The special issue Guest Editors: Enea Bongiorno, University of Eastern Piedmont, Italy Email: enea.bongiorno(a)uniupo.it Frederic Ferraty, Toulouse Jean Jaures University, France Email: ferraty(a)math.univ-toulouse.fr Erricos Kontoghiorghes, Cyprus University of Technology and Birkbeck UNiversity of London, UK Email: erricos(a)cut.ac.cy Jeng-Min Chiou, Academia Sinica, Taiwan Email: jmchiou(a)stat.sinica.edu.tw -- Enea G. Bongiorno, Università degli Studi del Piemonte Orientale - Amedeo Avogadro Via Perrone 18, 28100, Novara, Italia Phone: +390321375317 enea.bongiorno(a)uniupo.it upobook.uniupo.it/enea.bongiorno ------ IWFOS 2025 6th International Workshop on Functional and Operatorial Statistics - iwfos2025.uniupo.it <https://iwfos2025.uniupo.it/home> Math-Stat Seminars at UPO seminari-ms.uniupo.it/home-page ------

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Seminario 05/11 ore 11 A Bayesian Model for Co-clustering Ordinal Data with Informative Missing Entries
by ANTONIO PIEVATOLO 30 Oct '24

30 Oct '24

[ENGLISH BELOW] Con preghiera di diffusione, si avvisa che in data 05-11-2024, alle ore 11:00 precise, presso la sala Pentagonale dell'Area della Ricerca 1 del CNR di Milano in via A. Corti 12, la Dr. Alice Giampino, Università degli Studi di Milano-Bicocca, terrà un seminario dal titolo A Bayesian Model for Co-clustering Ordinal Data with Informative Missing Entries Abstract: Several approaches have been proposed in the literature for clustering multivariate ordinal data. These methods typically treat missing values as absent information, rather than recognizing them as valuable for profiling population characteristics. To address this gap, we introduce a Bayesian nonparametric model for co-clustering multivariate ordinal data that treats censored observations as informative, rather than merely missing. We demonstrate that this offers a significant improvement in understanding the underlying structure of the data. Our model exploits the flexibility of two independent Dirichlet processes, allowing us to infer potentially distinct subpopulations that characterize the latent structure of both subjects and variables. The ordinal nature of the data is addressed by introducing latent variables, while a matrix factorization specification is adopted to handle the high dimensionality of the data in a parsimonious way. The conjugate structure of the model enables an explicit derivation of the full conditional distributions of all the random variables in the model, which facilitates seamless posterior inference using a Gibbs sampling algorithm. We demonstrate the method's performance through simulations and by analyzing politician and movie ratings data. Gli interessati potranno partecipare al seminario da remoto, utilizzando il link indicato qui sotto https://teams.microsoft.com/l/meetup-join/19%3ameeting_OTk1YjcxOWMtYjQzYy00… oppure in presenza previa prenotazione via email a federico.cortese(a)mi.imati.cnr.it<mailto:federico.cortese@mi.imati.cnr.it> Distinti saluti, Federico P. Cortese ***ENGLISH*** Dear all, We are honoured to announce that on 11/05/2024, at 11:00 AM, in the Pentagonale Room of the CNR Research Area 1 in Milan, Via A. Corti 12, Dr. Alice Giampino from the University of Milano-Bicocca will present a seminar titled: A Bayesian Model for Co-clustering Ordinal Data with Informative Missing Entries Abstract: Several approaches have been proposed in the literature for clustering multivariate ordinal data. These methods typically treat missing values as absent information, rather than recognizing them as valuable for profiling population characteristics. To address this gap, we introduce a Bayesian nonparametric model for co-clustering multivariate ordinal data that treats censored observations as informative, rather than merely missing. We demonstrate that this offers a significant improvement in understanding the underlying structure of the data. Our model exploits the flexibility of two independent Dirichlet processes, allowing us to infer potentially distinct subpopulations that characterize the latent structure of both subjects and variables. The ordinal nature of the data is addressed by introducing latent variables, while a matrix factorization specification is adopted to handle the high dimensionality of the data in a parsimonious way. The conjugate structure of the model enables an explicit derivation of the full conditional distributions of all the random variables in the model, which facilitates seamless posterior inference using a Gibbs sampling algorithm. We demonstrate the method's performance through simulations and by analyzing politician and movie ratings data. Interested participants may attend the seminar remotely using the link provided below: https://teams.microsoft.com/l/meetup-join/19%3ameeting_OTk1YjcxOWMtYjQzYy00… or in person by reserving a spot via email at federico.cortese(a)mi.imati.cnr.it<mailto:federico.cortese@mi.imati.cnr.it> Best regards, Federico P. Cortese To unsubscribe from this group and stop receiving emails from it, send an email to all_ricercatori+unsubscribe(a)imati.cnr.it<mailto:all_ricercatori+unsubscribe@imati.cnr.it>.

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Workshop "Random Geometric Structures and Statistical Physics", 30 June - 4 July 2025, Rome
by Faggionato, Alessandra 29 Oct '24

29 Oct '24

Dear all, This is a preliminary announcement for the workshop “Random Geometric Structures and Statistical Physics,” to be held at the Department of Mathematics, Sapienza University of Rome, from June 30 to July 4, 2025. The workshop is part of the Eccellenza scientific program at Sapienza, titled “Statistical Mechanics and Nonequilibrium Processes.” The workshop will cover topics such as random growth processes, percolation, random walks and interacting particles on random graphs, random surfaces, statistical mechanics, and more. It will gather experts from these research fields. A follow-up message will be sent with more information once the meeting website is available. The organizers, Alessandra Faggionato Vittoria Silvestri Lorenzo Taggi -- ************************************************* Prof. Alessandra Faggionato https://www1.mat.uniroma1.it/people/faggionato/ Department of Mathematics University "La Sapienza" Piazzale Aldo Moro, 5 00185 - Rome Office 123, first floor *************************************************

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Seminario PRISMA mar 5 nov 2024
by Francesco Caravenna 29 Oct '24

29 Oct '24

Seminari on-line del gruppo UMI - PRISMA (http://www.umi-prisma.polito.it/) I seminari PRISMA hanno un formato di "colloquium" per creare un'occasione di scambio e discussione con tutta la comunità dei probabilisti e statistici italiani. Ogni giornata comprende due relatori che tengono due seminari di 30 minuti strettamente connessi, per presentare alla comunità una prospettiva sul proprio ambito di ricerca. Da quest'anno le registrazioni dei seminari vengono pubblicate sul canale YouTube dell'UMI: https://youtube.com/playlist?list=PLmySpc-jrtAMq84VH71evyqPc1hl6eEQb Il prossimo appuntamento è per martedì 5 novembre 2024. I relatori saranno Enzo Orsingher (Sapienza Università di Roma) e Wolfgang Woess (Technische Universitaet Graz) che ci parleranno di Il moto browniano iperbolico e le sue ramificazioni con il seguente orario: 16:00 Primo seminario 16:30 Pausa e discussione 16:45 Secondo seminario 17:15 Conclusione e discussione Trovate di seguito il riassunto. I seminari verranno trasmessi via Zoom al seguente link: https://uniroma1.zoom.us/j/88679569146 Meeting ID: 886 7956 9146 Vi aspettiamo numerosi! Valentina Cammarota e Francesco Caravenna %%%%%%%%%%%%%%%%%%%%%%%%%%%% RELATORI: Enzo Orsingher (Sapienza Università di Roma) e Wolfgang Woess (Technische Universitaet Graz) TITOLO: Il moto browniano iperbolico e le sue ramificazioni RIASSUNTO: Il moto browniano ramificato (branching Brownian motion - BBM) in ambito euclideo è stato studiato intensamente durante molti decenni da studiosi rinomati. Il BBM sul disco (ossia semipiano) iperbolico ha ricevuto molta meno attenzione. Un lavoro profondo di Lalley and Sellke (1997) ha messo in luce la fase ricorrente, risp. transitoria del BBM sul disco di Poincaré. In particolare, Lalley e Sellke hanno determinato la dimensione di Hausdorff dell'insieme limite sulla frontiera (il cerchio unitario) in funzione del tasso di ramificazione delle particelle. Nel primo dei due seminari viene introdotta la geometria del disco iperbolico con la metrica di Poincaré e del modello equivalente del semipiano superiore. Si presenta il Laplaciano iperbolico, cioè l'operatore di Laplace-Beltrami associato a questa superficie. Esso è l'operatore infinitesimale del moto browniano iperbolico. Si presentano alcune proprietà chiave di questo processo. Nel secondo seminario si introduce il moto browniano ramificato iperbolico. Vengono presentati alcuni nuovi risultati. In particolare, si forniscono i tassi della massima e minima distanza iperbolica della popolazione al tempo t dal punto di partenza e delle stime asintotiche più precise nella fase transitoria. L'altro tema principale riguarda il comportamento delle distribuzioni empiriche della popolazione ramificante e la loro convergenza a una distribuzione limite aleatoria sulla frontiera di supporto infinito. %%%%%%%%%%%%%%%%%%%%%%%%%%%%

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Budapest
by Faggionato, Alessandra 28 Oct '24

28 Oct '24

Ricevo da Marton Balasz e con piacere inoltro. Saluti Alessandra ---------- Forwarded message --------- From: Marton Balazs <m.balazs(a)bristol.ac.uk> Date: Mon, 28 Oct 2024 at 13:31 School and workshop on stochastic interacting particle systems and random matrices ===8<=== Dear Colleagues, It is our pleasure to announce the School and the Workshop on Stochastic interacting particle systems and random matrices, to be held at the Erdős Center of the Rényi Institute, Budapest. School on Stochastic interacting particle systems and random matrices: 16-20 June, 2025 Workshop on Stochastic interacting particle systems and random matrices: 23-27 June, 2025 - The School will feature minicourses from the following distinguished researchers: Charles Bordenave Ivan Corwin László Erdős Nina Gantert Alice Guionnet Bálint Virág We are also planning on short talks from interested attendees. Further details are to be found at https://erdoscenter.renyi.hu/events/school-stochastic-interacting-particle-… . Registration deadline: 15 March 2025. - The workshop will consist of numerous talks by researchers ranging from early career colleagues to top experts of interacting particle systems and of random matrix theory. There will also be opportunities for discussions during the meeting. Please see details at https://erdoscenter.renyi.hu/events/workshop-stochastic-interacting-particl… . Registration deadline: 15 May 2025. Please advertise these meetings to interested students and colleagues. With best wishes from the organisers: Márton Balázs Laure Dumaz Benedek Valkó Bálint Vető probstatphys25(a)renyi.hu ===8<=== -- ************************************************* Prof. Alessandra Faggionato https://www1.mat.uniroma1.it/people/faggionato/ Department of Mathematics University "La Sapienza" Piazzale Aldo Moro, 5 00185 - Rome Office 123, first floor *************************************************

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GPSD conference in Dresden
by Enrico Scalas 28 Oct '24

28 Oct '24

Dear Colleagues, On behalf of the organisers, I would like to point you to the GPSD conference in Dresden https://www.gpsd-2025.de/ As usual, apologies for cross-posting. Best wishes, Enrico Scalas

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PhD Studentship in Stochastic Analysis at Bath
by Mario Maurelli 27 Oct '24

27 Oct '24

Dear colleagues, I am forwarding the following announcement from Avi Mayorcas about a PhD position at the University of Bath. Best regards Mario Maurelli Dear Colleagues, I am currently advertising for a PhD position at the University of Bath. The topic would be ideally suited to students with an interest in one or multiple areas of analysis, probability, stochastic analysis and PDE. However, mathematically strong students with a background in physics or economics would also be well-suited. Please find the advert here: https://www.findaphd.com/phds/project/stochastic-analysis-of-many-body-syst… Note: the advert currently says _UK students only_, however, due to a recent internal decision this will no longer apply, the advert will be updated in due course. Please feel free to point any interested students here to contact me here: https://researchportal.bath.ac.uk/en/persons/avi-mayorcas Many thanks and best wishes, Avi

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Save the date: Avi Wigderson (Turing award + Abel prize!) at Tor Vergata 31.10
by Michele Salvi 25 Oct '24

25 Oct '24

Dear all, We are honoured to announce that on Thursday, October 31st (15h00, Aula Gismondi) RoMaDS <https://www.mat.uniroma2.it/~rds/events.php> will host at Tor Vergata University Prof. Avi Wigderson (Princeton University, 2023 Turing award and 2021 Abel prize) with the seminar “The value of Errors in Proofs” The seminar is meant for a broad audience, do not hesitate to spread the word with whom might be interested, students included! All the details can be found on the website of the event: https://www.mat.uniroma2.it/~pasquale/seminars/wigderson2024/ https://www.mat.uniroma2.it/~pasquale/seminars/wigderson2024/ We encourage in-person partecipation. Should you be unable to come, here is the link to the Teams streaming: https://teams.microsoft.com/l/meetup-join/19%3arfsL73KX-fw86y1YnXq2nk5VnZFw… https://teams.microsoft.com/l/meetup-join/19%3arfsL73KX-fw86y1YnXq2nk5VnZFw… The seminar is part of the Excellence Project MatMod@TOV. https://www.mat.uniroma2.it/~rds/events.php Best regards, Michele Salvi

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SPASS seminar: Claudio Macci
by Andrea Agazzi 25 Oct '24

25 Oct '24

Dear Colleagues, We would like to invite you to the following SPASS seminar, jointly organized by UniPi, SNS, UniFi and UniSi (abstract below): *Large and moderate deviations for Gaussian neural network* by *Claudio Macci* (Università di Roma Tor Vergata) The seminar will take place on *TUE, 29.10.2024* at *14:00 CET *in Aula Seminari, Dipartimento di Matematica, UNIPI and streamed online at this link <https://meet.google.com/gji-phwo-vbg>. The organizers, A. Agazzi, G. Bet, A. Caraceni, F. Grotto, G. Zanco https://sites.google.com/unipi.it/spass <https://www.google.com/url?q=https://sites.google.com/unipi.it/spass&source…> -------------------------------------------- *Title: Large and moderate deviations for Gaussian neural network* *Abstract: We prove large and moderate deviations for the output of Gaussian fully connected neural networks. The main achievements concern deep neural networks (i.e., when the model has more than one hidden layer) and hold for bounded and continuous pre-activation functions. However, for deep neural networks fed by a single input, we have results even if the pre-activation is ReLU. When the network is shallow (i.e., there is exactly one hidden layer) the large and moderate principles hold for quite general pre-activations and in an infinite-dimensional setting.Joint work with Barbara Pacchiarotti (Università di Roma Tor Vergata) and Giovanni Luca Torrisi (IAC-CNR).*

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