February 2024 - Random - Mailing list — Dipartimento di Matematica, UniPI

Call for Papers | COPA 2024 @ Politecnico di Milano
by Simone Vantini 26 Feb '24

26 Feb '24

A TUTTI GLI INTERESSATI CON PREGHIERA DI DIFFUSIONE Gentilissimi, Si comunica che il 13° Simposio Conformal Prediction and Probabilistic Prediction with Applications (COPA2024) si terrà presso il Politecnico di Milano, dal 9 all'11 settembre 2024. Il simposio rappresenta un'opportunità unica per condividere e discutere ricerche originali e inedite nel campo della Conformal Prediction, e in generale in ambito predizione probabilistica. Gli articoli accettati saranno pubblicati nei Proceedings of Machine Learning Research, conferendo un riconoscimento internazionale ai contributi presentati. Sito web del Simposio: https://copa-conference.com/ Dettagli dell'Evento: Data: 9-11 settembre 2024 Luogo: Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133, Milano, Italia Call for Papers: Siamo alla ricerca di contributi in lingua inglese, originali e non pubblicati, che riguardino tutti gli aspetti della predizione conforme e probabilistica. I contributi dovranno essere redatti secondo le linee guida di formattazione del Journal of Machine Learning Research (JMLR). Lista dei topic: https://easychair.org/cfp/COPA2024 Link per la sottomissione: https://easychair.org/conferences/?conf=copa20240 Deadline per la sottomissione: 1 aprile 2024. Cordiali saluti, Prof. Simone Vantini Associate Professor of Statistics MOX Laboratory for Modeling and Scientific Computing Department of Mathematics Politecnico di Milano simone.vantini(a)polimi.it<mailto:simone.vantini@polimi.it> Dr. Matteo Fontana Lecturer in Data Science Department of Computer Science School of Engineering, Physical and Mathematical Sciences Royal Holloway, University of London matteo.fontana(a)rhul.ac.uk<mailto:matteo.fontana@rhul.ac.uk>

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ABS24 school "Bayesian Phylogenetics and Infectious Diseases" in Como, Italy (August 26-30, 2024) - Registration are open
by Elisa Varini 26 Feb '24

26 Feb '24

Dear all, We are glad to inform you that the next Applied Bayesian Statistics school - ABS24 will be held in the city of Como, along the Lake Como shoreline, on August 26-30, 2024. The school is organised by CNR IMATI (Institute of Applied Mathematics and Information Technologies at the National Research Council of Italy in Milano), in cooperation with Fondazione Alessandro Volta. The topic will be BAYESIAN PHYLOGENETICS AND INFECTIOUS DISEASES. The lecturer will be Prof. MARC SUCHARD (Department of Biostatistics, UCLA Fielding School of Public Health, USA), with the support of Filippo Monti (PhD student in Biostatistics, UCLA, USA). If interested, you can register on the school website: https://abs24.imati.cnr.it/ If you are interested in the school but unwilling to register for the moment, please send an email to abs24(a)mi.imati.cnr.it and we will send you updates and reminders. As in the past (since 2004), there will be a combination of theoretical and practical sessions, along with presentations by participants about their work (past, current and future) related to the topic of the school. OUTLINE: The aim of this course is to explore the core challenges of Bayesian inference of stochastic processes in modern biology in terms of data-scale, model-dimensionality and compute-complexity. Challenging and emerging statistical solutions will be illustrated through the analysis of biological sequences, such as genes and genomes. Molecular phylogenetics has become an essential analytical tool for understanding the complex patterns in which rapidly evolving pathogens propagate across and between countries, owing to the complex travel and transportation patterns evinced by modern economies, along with growing political factors such as increased global population and urbanisation. As an accessible course for all, a brief introduction of the underlying biology (for statistical researchers) and of modern Bayesian inference (for practicing biologists) will be also provided. Topics will cover probabilistic modeling techniques using both discrete- and continuous-valued stochastic processes including continuous-time Markov chains and Gaussian processes; large-scale data-integration approaches incorporating factors like human mobility and climate measurements; recursive computing and other mathematical tricks to evaluate seemingly intractable likelihoods; state-of-the-art sampling methods for high-dimensional models including Hamiltonian Monte Carlo and its more recent non-reversible extensions; delivering timely inference on advancing computing hardware like graphics processing units and (maybe even) quantum devices. We hope you will be interested in the school and we would like to meet you in Como next year. We invite you also to share the information with people potentially interested. Best regards Elisa Varini and Fabrizio Ruggeri Executive Director and Director of ABS24

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SMPS 2024 in Salzburg, Austria: extended deadline
by Fabrizio, Antonio DURANTE 23 Feb '24

23 Feb '24

[please distribute - apologies for multiple postings] Dear Colleagues, the SMPS 2024 conference (Soft Methods in Probability and Statistics) will take place on September 03-06, 2024, in Salzburg, Austria. We expect 80-120 participants and - apart from an interesting scientific event - also plan to integrate in the conference what Salzburg is most famous for: classical music and beautiful landscapes. Our objective is to keep the fees including lunches, conference dinner, social events and Springer book of proceedings low (300-400€ regular price, reduced amount of 150-180€ for PhD students; precise numbers to be determined in spring after knowing the exact number of participants). Confirmed plenary spearkers are: Siegfried Hörmann (Graz University of Technology, AT) Susanne Saminger-Platz (Johannes Kepler University Linz, AT) Steven Vanduffel (Vrije Universiteit Brussel, BE) Ingrid Van Keilegom (KU Leuven, BE) Christian Wagner (University of Nottingham, UK) The SMPS conference series has the tradition to collect short papers of 6-8 pages of all participants giving a talk - these papers will undergo a quick peer-review and should either contain novel results or provide a survey over recently established material. All accepted contributions will be published in a Springer conference proceedings book with the title "Combining, modelling and analyzing imprecision, randomness and dependence". Elsevier will sponsor SMPS 2024 with a best paper award of 1000€, additionally there will be a special issue related to the conference in the International Journal of Approximate Reasoning. Submission of short papers will be possible as of January 1st, 2024, and ends on March 17th, 2024. Required LaTex style etc., a link to the submission platform, and additional information can be found on the conference homepage http://www.smps2024.com <https://eur05.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.smps20…>. Hotels with slightly reduced room prices for SMPS participants will be available on the webpage as of mid March. Looking forward to welcoming you in Salzburg Wolfgang Trutschnig, Jonathan Ansari, Sebastian Fuchs (SMPS 2024 chairs) --------------------------------------------------------- Fabrizio Durante Dipartimento di Scienze dell'Economia Centro Ecotekne Pal. C S.P. 6, Lecce - Monteroni LECCE (ITALY) Phone: +39 0832 29 8672 https://sites.google.com/site/fbdurante/ --

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Sapienza seminar in Probability and Statistics - Refik Soyer
by Luisa Beghin 23 Feb '24

23 Feb '24

Dear all, We would like to invite you to the following talk: *Thursday 29th February at 1**5:00* Room 24 (fourth floor), Dipartimento di Scienze Statistiche (Ed. CU002), Sapienza University *Speaker: Refik Soyer* (George Washington University (US)) *Title: Latent Factor Multivariate Integer-Valued AR Processes* Abstract: We introduce a new class of multivariate integer-valued autoregressive (INAR) models based on the notion of a common random environment. Dependence among the components of the multivariate time series is induced via the common environment that follows a Markovian evolution. The proposed framework provides us with a dynamic multivariate generalization of the univariate INAR processes. We develop a Markov chain Monte Carlo method as well as a particle learning algorithm for Bayesian inference. We consider an extension of the model to handle zero inflated time-series data and illustrate the proposed class of models using actual multivariate count data and discuss their predictive performance. (Joint work with Di Zhang, Expedia, US and Hedibert Lopes, INSPER, Brazil) Best regards. Luisa Beghin and Fabio Spizzichino *************************************************************** Luisa Beghin Dipartimento di Scienze Statistiche Fac. Ingegneria dell'Informazione, Informatica e Statistica "SAPIENZA" Università di Roma Piazzale Aldo Moro 5, 00185 Roma T (+39) 06 49910543 F (+39) 06 4959241 https://sites.google.com/site/luisabeghin/ *****************************************************************

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Expression of interest
by Paolo Guasoni 22 Feb '24

22 Feb '24

The Department of Statistics of the University of Bologna invites expressions of interest from qualified scholars for an Assistant Professor (RTT) position in Mathematical Methods for Economics, Finance, and Actuarial Sciences (SECS-S/06). The Department is a leader in research and teaching in Financial Mathematics, with its English-based Master’s programs in Quantitative Finance (since 2011) and Greening Energy Market and Finance (since 2022), nearly ten faculty members in Mathematical Methods for Economics, Finance, and Actuarial Sciences, and as many PhD students in this area. Interested candidates should submit their curriculum vitae and research statement to Prof. Silvia Romagnoli (silvia.romagnoli(a)unibo.it) by March 31^st , 2024. Note that this is a call for expression of interest only, not an advertisement for a vacancy. Appointments to academic positions require public selection procedures pursuant to Italian law and University regulations.

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assegno di ricerca CNR-IMATI di Milano
by Sara Pasquali 21 Feb '24

21 Feb '24

Scusate, il link precedente rimandava al bando sbagliato. %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Si avvisa che è stato pubblicato il bando per un assegno di ricerca professionalizzante, della durata di *un anno *(rinnovabile), presso la sede di Milano dell’*Istituto di Matematica Applicata e Tecnologie Informatiche (IMATI) del CNR*. L'attività di ricerca riguarderà i *modelli matematici per la dinamica di popolazioni*. Il bando è disponibile alla pagina https://imati.cnr.it/detail_pages.php?language=ITA&view=GEN&voice_code=BND&… e la scadenza di presentazione delle domande è fissata per il giorno *21 marzo 2024*. Le persone interessate a fare domanda possono contattare la dott.ssa Sara Pasquali alla mail *sara.pasquali(a)mi.imati.cnr.it* per maggiori informazioni o chiarimenti. -- ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Dr. Sara Pasquali CNR-IMATI Via Bassini, 15 20133 MILANO - ITALY =========== Tel. +39 02 23699525 Fax. +39 02 23699538 e-mail:sara.pasquali@mi.imati.cnr.it ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

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assegno di ricerca CNR di Milano
by Sara Pasquali 21 Feb '24

21 Feb '24

Si avvisa che è stato pubblicato il bando per un assegno di ricerca professionalizzante, della durata di *un anno *(rinnovabile), presso la sede di Milano dell’*Istituto di Matematica Applicata e Tecnologie Informatiche (IMATI) del CNR*. L'attività di ricerca riguarderà i *modelli matematici per la dinamica di popolazioni*. Il bando è disponibile alla pagina https://imati.cnr.it/detail_pages.php?language=ITA&view=GEN&voice_code=BND&… e la scadenza di presentazione delle domande è fissata per il giorno *21 marzo 2024*. Le persone interessate a fare domanda possono contattare la dott.ssa Sara Pasquali alla mail *sara.pasquali(a)mi.imati.cnr.it* per maggiori informazioni o chiarimenti. -- ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Dr. Sara Pasquali CNR-IMATI Via Bassini, 15 20133 MILANO - ITALY =========== Tel. +39 02 23699525 Fax. +39 02 23699538 e-mail:sara.pasquali@mi.imati.cnr.it ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

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Fwd: SPASS Seminar: Matteo Sfragara
by Gianmarco Bet 21 Feb '24

21 Feb '24

Dear Colleagues, We would like to invite you to the following SPASS seminar, jointly organized by UniPi, SNS, UniFi and UniSi: Chaos and concentration in spatial growth models by Matteo Sfragara (Stockholm University) The seminar will take place on TUE, 27.02.2024 at 14:00 CET in Aula Tricerri, Dipartimento di Matematica e Informatica "Ulisse Dini", UNIFI and streamed online at the link which you can find in the seminar website below. The organizers, A. Agazzi, G. Bet, A. Caraceni, F. Grotto, G. Zanco https://sites.google.com/unipi.it/spass <https://sites.google.com/unipi.it/spass> -------------------------------------------- Abstract: A decade and a half ago Chatterjee established the first rigorous connection between anomalous fluctuations (superconcentration) and a chaotic behaviour of the ground state in certain Gaussian disordered systems. We study the connection between chaos and concentration in spatial growth models, like first-passage percolation (FPP) and last-passage percolation (LPP), and we prove that they exhibit a chaotic behaviour. This extends previous work on the topic, and illustrates that this is a phenomenon that can be expected more widely. The notion of ‘chaos' refers to the sensitivity of the optimal path (geodesic) when exposed to a slight perturbation. In FPP on Z^d the geodesic is the time-minimizing path from the origin to a vertex v, while in LPP on the square lattice [0,n]^2 the geodesic is the weight-maximizing up-right path from (0,0) to (n,n). This talk is based on two joint works with Daniel Ahlberg and Mia Deijfen (Stockholm University).

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Procedura selettiva 2024RTT01 - SC 13D2 - Università di Padova
by Alessandra Fabbri Colabich 20 Feb '24

20 Feb '24

Si informa che è stato pubblicato il bando *2024RTT01* relativo all'indizione di una procedura selettiva per l’assunzione di n. 8 ricercatori a tempo determinato in tenure-track (RTT) ai sensi dell’art. 24 della legge 240/2010 come modificato dalla L. 79/2022 –2024RTT01, di cui uno nel SC 13D2, SSD SECS-S/03 presso il Dipartimento di Scienze Statistiche. Bando al link: https://www.unipd.it/procedura-2024RTT01 *Scadenza: 18 marzo 2024 ore 13* Si prega di dare la massima diffusione presso tutti gli interessati. Grazie per la collaborazione Alessandra Fabbri Colabich -- Dott.ssa Alessandra Fabbri Colabich Università degli Studi di Padova Dipartimento di Scienze Statistiche

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Seminar: Federico Ferraccioli February 27, 2024, Ca' Foscari University of Venice
by Carlo Gaetan 20 Feb '24

20 Feb '24

Dear all, we are glad to announce the following hybrid seminar *February 27, 2024, 12:15 PM* *Where*: Sala Riunioni B - edificio Zeta (Campus Scientifico), Via Torino, 155 Mestre (Venice, Italy) Zoom:https://unive.zoom.us/j/85153268624?pwd=MzBhdlA2M1B2dThJQ2Y5T0EwUE5PZz09 *Speaker*: Federico Ferraccioli, Università degli Studi di Padova *Title*: Detecting stable modes using stochastic gradients *Abstract:* In the framework of density based clustering, modes represent a crucial concept as they identify high-density regions that can be associated to different groups of observations. The possibility to conduct inference on the resulting clusters remains nonetheless an intriguing yet quite intricate problem. To tackle this challenge, we propose a procedure that leverages on the connection between mean-shift clustering and stochastic gradient methods. This enables the definition of a sampling procedure, which can be used to construct confidence regions for the modes of a density. We investigate the asymptotic properties of the proposed method and evaluate its performances across different scenarios. Best regards, Carlo Gaetan -- - Dipartimento di Scienze Ambientali, Informatica e Statistica - DAIS Università Ca' Foscari - Venezia Z.A12 - Edificio Zeta Via Torino, 155 I-30172 Mestre (VE) ITALY phone: ++39 041 234 8404 e-mail:[gaetan"at"unive"dot"it] web:[http://www.dais.unive.it/~gaetan] Please don't print this e-mail unless you really need to. Please avoid sending me Word, Excel or PowerPoint attachments. Seehttp://www.gnu.org/philosophy/no-word-attachments.html. Per favore non stampate questo messaggio se non è proprio necessario. Per favore non mandatemi allegati in Word, Excel o PowerPoint. Le ragioni sono spiegate quihttp://www.gnu.org/philosophy/no-word-attachments.it.html

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