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Research Associate in Bayesian Statistics, Newcastle University
by Fabrizio Leisen 04 Nov '24

04 Nov '24

Apologies for cross posting. Con preghiera di diffusione. Il candidato ideale deve avere della solide basi in inferenza Bayesiana da un punto di vista statistico piuttosto che Machine Learning. Cordiali Saluti, Fabrizio Leisen Professor of Statistics Head of the Statistics Group King’s College London Department of Mathematics Strand | WC2R 2LS | London ---------- Forwarded message --------- Da: Kevin Wilson <0000c562ec979ac8-dmarc-request(a)jiscmail.ac.uk> Date: mer 30 ott 2024 alle ore 14:41 Subject: JOB: Research Associate in Bayesian Statistics, Newcastle University To: <allstat(a)jiscmail.ac.uk> JOB: Research Associate in Bayesian Statistics School of Mathematics, Statistics and Physics, Newcastle University Full advert: Research Associate in Bayesian Statistics Job Details | Newcastle University< https://jobs.ncl.ac.uk/job/Newcastle-Research-Associate-in-Bayesian-Statist… > Applications are invited for a Research Associate position in Bayesian Statistics, for a period of 24 months. The project is at the forefront of Bayesian inference and aims to design a novel Bayesian methodology to implement Bayesian Additive Regression Trees (BART) models to deal with non-linear phenomena. In particular, the aim is to bridge the Loss-based methodology to the framework of BART, building on the previous works of Prof Cristiano Villa and Prof Fabrizio Leisen on model selection, linear regression models and Gaussian graphical models. The successful candidate will work on developing prior distributions to estimate the structure of the trees and the number of trees in a BART model, and building scalable and efficient computational tools to ease the implementation of the methodology. The candidate must have a solid background in computational methods for Bayesian inference to develop efficient algorithms for the new proposed modelling framework. Within the project, the candidate will also perform theoretical modelling and data analysis, as well as disseminate the outputs through publications and presentations at scientific meetings. The successful candidate will join the growing Statistics & Data Science group at Newcastle University and interact with the Statistics group at King's College London. The position is offered on a fixed term basis for two years from the start date. Generous funds are available for travel, training and other support. To apply, please complete the online application and attach a CV and covering letter. In your covering letter, please outline how you are either working towards, meet or exceed all the essential requirements for the role holder as outlined in the full advertisement, and highlight any expertise relevant to the described project. For all information enquiries about the position, please contact Prof Kevin Wilson (kevin.wilson(a)newcastle.ac.uk), Prof Cristiano Villa ( cristiano.villa(a)dukekunshan.edu.cn) or Prof Fabrizio Leisen ( fabrizio.leisen(a)kcl.ac.uk). You may leave the list at any time by sending the command SIGNOFF allstat to listserv(a)jiscmail.ac.uk, leaving the subject line blank.

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2-year PostDoc Position at TU Eindhoven (NL)
by Elisa Perrone 31 Oct '24

31 Oct '24

Dear colleagues, We currently have a vacancy for a 2-year PostDoc position in the Mathematical Statistics group at TU Eindhoven. The position comes with light educational duties but it is not attached to a specific research project. Therefore, there is considerable freedom for the candidate to independently pursue their own research agenda, as long as it has a good embedding within the research activities of the group. Here is the website with the job description: link <https://jobs.tue.nl/en/vacancy/postdoc-in-mathematical-statistics-1119766.h…>. The submission deadline is December 1, 2024. I would appreciate it if you could help us circulate the announcement and forward it to potentially interested candidates. Thank you very much, and best wishes, Elisa --- Elisa Perrone, Ph.D. Assistant Professor Department of Mathematics and Computer Science Eindhoven University of Technology elisaperrone.info <http://elisaperrone.info/>

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Seminario di Stanislav Smirnov (medaglia Fields 2010) a Roma Tre
by Elisabetta Candellero 31 Oct '24

31 Oct '24

Stanislav Smirnov (medaglia Fields 2010) terra' un seminario dal titolo "Coulomb gas and lattice models" il giorno mercoledi' 6 novembre, ore 16:00. Il seminario si terra' in Aula M1, Blocco Aule Lungotevere Dante 376 Dipartimento di Matematica e Fisica Universita' degli Studi Roma Tre Abstract: Even before the introduction of Conformal Field Theory by Belavin, Polyakov and Zamolodchikov, it appeared indirectly in the work of den Nijs and Nienhuis using Coulomb gas techniques. The latter postulate (unrigorously) that height functions of lattice models converge to the Gaussian Free Field, allowing to derive many exponents and dimensions of 2D lattice models. This convergence is in many ways mysterious, in particular it was never formulated in the presence of a boundary, but rather on a torus or a cylinder. We will discuss possible formulations on general domains or Riemann surfaces and their relations to CFT, SLE and conformal invariance of critical lattice models. Interestingly, new objects in complex geometry and potential theory seem to arise.

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Seminario di probabilita' (Roma Tre), 6/11/2024, Amitai Linker (Santiago del Cile)
by Elisabetta Candellero 31 Oct '24

31 Oct '24

*Data e orario*: Mercoledi' 6 novembre alle ore 14:30 Via della Vasca Navale 84, Dipartimento di Matematica e Fisica, Universita' degli Studi roma Tre, AULA B *Relatore*: Amitai Linker (Universidad Andrés Bello, Santiago, Cile) *Titolo*: "The contact process on dynamic scale-free networks" *Abstract*: In this talk, I will present recent results on the contact process on two specific types of scale-free, inhomogeneous random networks that evolve either through edge resampling or by resampling entire neighborhoods of vertices. Depending on the type of graph, the selected stationary dynamic, the tail exponent of the degree distribution, and the updating rate, we identify parameter regimes that result in either fast or slow extinction. In the latter case, we determine metastable exponents that exhibit first-order phase transitions. This is joint work with Emmanuel Jacob (ENS Lyon) and Peter Mörters (Universität zu Köln).

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Call for Contributed Talks at BNP 14
by Alessandra Guglielmi 31 Oct '24

31 Oct '24

Dear all, We invite the submission of contributed talks for the 14th International Conference on Bayesian Nonparametrics, to be held in person at UCLA in Los Angeles, United States, on June 23-27th, 2025. The deadline for submission is December 15, 2024. Contributed talks will be around 20 minutes long. Please note that the one-presentation-per-speaker policy is in effect: each participant of this meeting shall give at most one presentation (oral or poster). We encourage potential participants to submit their proposals, as there will be many opportunities for contributed speakers. Please submit your proposed talk using this form<https://bnp14.org/submissions/>, by December 15, 2024. Please indicate if, in the unfortunate case you were not selected for an Oral Talk, you would like to be automatically considered for a Poster Presentation. The results will be announced by the end of January 2025. A separate call for posters will be made soon. Thank you for your support of the 14th International Conference on Bayesian Nonparametrics. If you have any questions, please email bnp14ucla(a)gmail.com. For further information on the 14th International Conference on Bayesian Nonparametrics, see https://bnp14.org/ Best regards Alessandra Guglielmi, Chair of the Scientific Committee of BNP 14 https://bnp14.org/ -- Alessandra Guglielmi Dipartimento di Matematica - Politecnico di Milano Piazza Leonardo da Vinci, 32 - 20133 Milano (ITALY) tel ++39.02.23994641 e-mail: alessandra.guglielmi(a)polimi.it<mailto:alessandra.guglielmi@polimi.it>

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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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post doc positions in Sao Paulo state, Brazil
by Daniela Bertacchi 23 Oct '24

23 Oct '24

The Stochastic Systems Modeling project in São Paulo state, Brazil, is recruiting three post-doctoral research fellows in the fields of Probability Theory and Stochastic Processes. The project is spread across four universities (USP, UNICAMP, UFSCar, UFABC) and includes Drs. Anatoly Yambartsev, Andressa Cerqueira, Cristian F. Coletti, Eduardo Jordão Neves, Élcio Lebensztayn, Fábio P. Machado, Florencia Leonardi, Leonardo T. Rolla, Luiz Renato G. Fontes, Miguel Abadi, Nancy L. Garcia, Pablo A. Gomes, Renato Gava, Sandro Gallo, and Vladimir Belitsky. The main lines of research include percolation and interacting random walks, population dynamics and genetic models, information propagation models, characterizers in dynamical systems and inference, and modeling and inference in complex systems. These are two-year positions, renewable for a third year, funded by the São Paulo Research Foundation through grant 23/13453-5, with the following conditions: Teaching requirements: none Start date: flexible Net salary: 144,000.00 BRL per year Research grant: 14,400.00 BRL per year Applications should be uploaded to https://forms.gle/MosUNPinEsBkQknG6 by the deadline below and include: Cover letter Short CV Research Statement Two confidential reference letters should be uploaded to https://forms.gle/EYUa1VkUQH6PYUFbA by the same deadline. Those without access to Google can send the material directly to lrenato(a)ime.usp.br Deadline: December 15, 2024 ===================================================== <https://www.avast.com/sig-email?utm_medium=email&utm_source=link&utm_campai…> Privo di virus.www.avast.com <https://www.avast.com/sig-email?utm_medium=email&utm_source=link&utm_campai…> <#DAB4FAD8-2DD7-40BB-A1B8-4E2AA1F9FDF2>

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Precision Health Day – Call for Abstracts
by Azzimonti Laura 23 Oct '24

23 Oct '24

Dear colleagues, We are excited to announce the first Precision Health Day, organized by Scuola Universitaria Professionale della Svizzera Italiana (SUPSI) and Ente Ospedaliero Cantonale (EOC). This event will bring together experts from academia, industry, and institutions to discuss the latest advancements in precision healthcare, focusing on data science, AI, medical devices, bioinformatics, telemedicine, and more. Date: 28 March 2025 Location: Lugano, Switzerland (with remote participation available) Languages: Italian and English Submit here<https://easychair.org/cfp/phealthday2025> your research abstract by December 8, 2024. Accepted abstracts will be selected for oral or poster presentations and shared in the event proceedings. For more information and registration updates, visit our event page<https://www.supsi.ch/en/giornata-della-salute-di-precisione> or contact meditech(a)supsi.ch<mailto:meditech@supsi.ch>. We look forward to your participation! Best regards, Laura Azzimonti on behalf of the conference organization committee ––––––––––––––––––––––––––––––– http://people.idsia.ch/~laura.azzimonti/

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Announcement of the YEP workshop “Interacting Particle Systems on Random Structures”
by Vanessa Jacquier 23 Oct '24

23 Oct '24

Dear Colleagues, We are glad to announce that the 20th edition of the Young European Probabilists (YEP) workshop *Interacting Particle Systems on Random Structures *will take place on *23-27 June, 2025* in EURANDOM at Eindhoven University of Technology. The workshop will feature 3 mini-courses by the following distinguished speakers: - Shankar Bhamidi (University of the North Carolina) - Cristian Giardinà (Università degli Studi di Modena e Reggio Emilia) - Andrea Montanari (Stanford University) The workshop will also include invited talks, and short talk sessions for early postdocs and PhD students based on abstract proposals. The workshop is free but registration will be mandatory. In a future announcement we will provide the link for the registration. Please feel free to contact us for any additional information. Looking forward to meeting you in Eindhoven! The organising committee, Simone Baldassarri, Remco van der Hofstad, Vanessa Jacquier, Matthias Löwe The organizers of this workshop are committed to ensuring that scientific events are accessible to everyone, regardless of their identity, and are devoted to creating a safe and respectful environment for all participants. --------------------------------------- Vanessa Jacquier *Post-doctoral researcher * Department of Mathematics University of Utrecht Budapestlaan 6, 3584 CD *Utrecht*, The Netherlands.

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OWABC evolves into OWABI - Kick off talk October 31st
by Massimiliano Tamborrino 23 Oct '24

23 Oct '24

Dear all, After 5 Seasons of the One World Approximate Bayesian Computation (ABC) Seminar<https://warwick.ac.uk/fac/sci/statistics/news/upcoming-seminars/abcworldsem…>, launched in April 2020 to gather members and disseminate results and innovation during those weeks and months under lockdown, we have now decided to launch a "new" seminar series, the One World Approximate Bayesian Inference (OWABI) Seminar<https://warwick.ac.uk/fac/sci/statistics/news/upcoming-seminars/abcworldsem…>, to better reflect the broader interest and scope of this series, which goes beyond ABC. In particular, simulation-based inference and ML related techniques will play a crucial role. We are also please to announce that Stefan Radev<https://faculty.rpi.edu/stefan-radev> <https://faculty.rpi.edu/stefan-radev> has joined the OWABI Organiser Team. The 1st OWABI talk will be given by Ullrich Koethe<https://hci.iwr.uni-heidelberg.de/vislearn/people/ullrich-koethe/> (University of Heidelberg), who will talk about "Free-form flows for physics-informed generative modeling" on Thursday the 31st October at 11am UK time. Abstract: The talk first introduces a useful categorization of the (sometimes confusing) "generative model zoo" in terms of different change-of-variables formulas. It then shows how normalizing flows, a major architecture for generative neural networks, can be used for simulation-based Bayesian inference in the sciences. Finally, it proposes free-form flows to simplify the incorporation of physical prior knowledge, e.g. rotation and translation invariance or the restriction of the distribution to a manifold, into generative models. Keywords: normalizing flows; physical-informed neural networks; simulation-based inference The talk will be streamed on MS Teams: Join the meeting now<https://teams.microsoft.com/l/meetup-join/19%3adhZ_4e_XLNJzCXPAMzTvT6BZ5KSh…> Meeting ID: 394 858 339 716 Passcode: qLKarj We are looking forward to seeing you all, best, Massimiliano on the behalf of the OWABI Organisers ------ Dr. Massimiliano Tamborrino Reader (Associate Professor) and WIHEA Fellow Department of Statistics University of Warwick https://warwick.ac.uk/tamborrino

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Sverker Lerheden fellowships for Postdoctoral studies
by Gabriele Pittarello 23 Oct '24

23 Oct '24

Buongiorno, Ricevo ed inoltro questa opportunità per un Postdoc presso la Stockholm University con il mio collaboratore Mathias Lindholm <https://www.su.se/english/profiles/matli-1.182521>, Associate Professor. Deadline: November 1, 2024 Interessi di ricerca di Mathias: Applied Probability/ Finance and Insurance Applications. Per ulteriori informazioni: lindholm(a)math.su.se Cordialità, Gabriele Pittarello =================================================================== Il giorno lun 21 ott 2024 alle ore 13:56 Mathias Millberg Lindholm < lindholm(a)math.su.se> ha scritto: This year's call for the Sverker Lerheden postdoc fellowships at the math department in Stockholm is now open and it closes on November 1. This is a call within all areas of mathematics, and focus will be on persons early on in their career. More information about the position can be found here: https://www.su.se/department-of-mathematics/news/sverker-lerheden-fellowshi… <https://lnkd.in/d6quk4FX> Don't hesitate to contact me if you have any questions about the application, projects etc. (lindholm(a)math.su.se) This is an annual call that typically opens up in October, if you'd be interested some other year. =================================================================

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Fwd: [dynlist] Mini-course Prof. Michael Yampolsky (first lecture)
by Stefano Marmi 22 Oct '24

22 Oct '24

Dear all, a gentle reminder of the mini-course by Michael Yampolsky. It will be also possible to follow the lectures remotely at the link given in the message below. Kind regards Stefano Marmi Dear all, In the next few weeks Prof. Michael Yampolsky (University of Toronto Mississauga) will give a series of 4 lectures on*“Computability and Computational Complexity Questions in Dynamics”* at the Scuola Normale Superiore in Pisa. The lectures will take place on Thursdays October 24 and 31 and November 7 and 14, at* 4:30* pm in* Aula Volterra*, Piazza dei Cavalieri 7 and will be streamed online. Please find below the title and abstract of the first lecture (Thursday October 24) and the relative zoom link. *October 24:* *Computability and computational complexity in dynamics: can we trust numerical predictions of limiting behavior of orbits?* The development of the modern subject of dynamical systems went hand-in-hand with numerical modeling. However, the theoretical basis of such modeling has remained largely unexplored and offers exciting challenges. What can and cannot be computed about the behavior of a dynamical system? I will give an overview of some of the recent results and directions of study. *Zoom link* : https://us02web.zoom.us/j/87207701292?pwd=cS85dXl0WC9udDhJNmkrd3FQVDJhdz09 Below you can find titles and abstracts of the next lectures. *October 31:* *Don’t believe your lying eyes: (non)-computability of Julia sets.* The talk will be a deep dive into the question of computability and computational complexity of Julia sets. Their fractal images are among the most-computed pictures in all of mathematics. But can we trust what these computations show? The results are surprising, and involve some beautiful complex analysis. The talk will be based on my work with M. Braverman, as well as more recent results obtained with A. Dudko, C. Rojas, and others. *November 7:* *How to lose at Monte Carlo: computing statistical behavior of dynamical systems.* Introduced by Ulam and von Neumann in the 1940s, Monte Carlo technique remains the most ubiquitous tool for statistical modeling. Surprisingly, our recent work with C. Rojas shows that such modeling probably fails for some very simple dynamical systems. I will present this theorem and discuss the resulting mathematical challenges. *November 14:* *Thurston versus Turing: algorithmic hardness of classifying finite dynamical systems.* Historically, the algorithmic aspects of classification problems have motivated much of the research in geometric topology (knot theory, classification of surfaces and 3-manifolds, etc). These questions are also very fruitful in dynamics. I will discuss the joint results with N. Selinger, K. Rafi and others on algorithmic decidability of Thurston equivalence and the connection with geometrization questions in dynamics. Best wishes, Roberto -- Hai ricevuto questo messaggio perché sei iscritto al gruppo "dynlist-pisa" di Google Gruppi. Per annullare l'iscrizione a questo gruppo e non ricevere più le sue email, invia un'email a dynlist-pisa+unsubscribe(a)googlegroups.com. Per visualizzare questa discussione sul Web, visita https://groups.google.com/d/msgid/dynlist-pisa/CAKFnWE7dszS-w-YgmBpuTacFQ0t… <https://groups.google.com/d/msgid/dynlist-pisa/CAKFnWE7dszS-w-YgmBpuTacFQ0t…> .

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Halloween Conference on Cyber Risk Measurement and Management
by Sabrina Mulinacci 21 Oct '24

21 Oct '24

Dear all, I am glad to announce that on October 31st 2024 the University of Bologna will host the Halloween Conference on the financial risk management issues raised by cyber-risk. As in the typical structure of the Halloween Conferences on Risk Management hosted within the Graduate Course in Quantitative Finance, the actual conference will be preceded by a two day tutorial to prepare the audience. Participation is free, but registration is mandatory. The complete program, including link for registration can be found at the link https://eventi.unibo.it/halloween2024 Link for on-line participation will be provided right before the conference. Best wishes, Sabrina

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1st Workshop on Data Science for Health and Biology - save the date
by Anna Paganoni 21 Oct '24

21 Oct '24

Dear collegues, we are glad to announce the** *1st Workshop on Data Science for Health and Biology (DS4HB),* jointly organized by Politecnico di Milano and Human Technopole, which will take place at *Politecnico di Milano on April 7-9, 2025*. DS4HB will bring together the brightest minds in data science, healthcare, and biology for a unique event designed to inspire dialogue, collaboration, and innovation in this multidisciplinary research field. The workshop is organized in 3 thematic days - *Data Science for Omics* (Day 1), *Data Science for Imaging* (Day 2) and *Data Science for Electronic Health Records* (Day 3) - and offers a broad landscape of invited talks, panel discussions, training and networking events. Featuring a diverse blend of perspectives and internationally renowned speakers, DS4HB provides a platform for cutting-edge ideas to flourish and for the next generation of researchers to learn from the leaders shaping the future of the life sciences. Discover more at _https://www.ds4hb.polimi.it/index.html <https://www.ds4hb.polimi.it/index.html>_ Registration and poster submission will open soon. Politecnico di Milano and Human Technopole are two leading Italian institutions at the forefront of advancing data science in biology, precision medicine and health-related research. DS4HB is promoted by the _Health Analytics <https://mox.polimi.it/research-areas/health-analytics/>_ and _Statistical Learning <https://mox.polimi.it/research-areas/statistics/>_ groups of the _MOX laboratory <https://mox.polimi.it/>_ within the _Mathematical Department of Politecnico <https://www.mate.polimi.it/>_, and the _Health Data Science Center <https://humantechnopole.it/en/research-centres/health-data-science/>_ of _Human Technopole <https://humantechnopole.it/en/>_. We look forward to meeting you all in Milan next April! Best regards Francesca Ieva (chair) on behalf of the Scientific and Organizing committees of DS4HB -- Anna Maria Paganoni MOX - Modeling and Scientific Computing Dipartimento di Matematica "F. Brioschi" Politecnico di Milano Piazza Leonardo da Vinci, 32 I-20133 Milano - Italy tel. +39 02 2399 4574 fax. +39 02 2399 4568 e.mail:anna.paganoni@polimi.it

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SPASS Seminar: Lars Schroeder
by Gianmarco Bet 21 Oct '24

21 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): *Stationary distribution of node2vec random walks on household models* by *Lars Schroeder* (University of Twente) The seminar will take place on *TUE, 22.10.2024* at* 11:00 CET* in Aula Tricerri, Dipartimento di Matematica e Informatica "Ulisse Dini", UNIFI 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…> -------------------------------------------- *Stationary distribution of node2vec random walks on household models* *Abstract: node2vec random walks are tuneable random walks that come from the popular computer science algorithm node2vec which is used for feature learning on networks. The transition probabilities of the random walks depend on the previous visited node and on the triangles that contain the current and the previous node. Even though the algorithm is very popular in the field of computer science, mathematical properties of the random walks almost have not been explored. We will present results on the stationary distribution of these random walks on household models and compare it with the simple random walk.*

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Seminars in Statistics - Beatrice Acciaio (ETH Zurich)
by Pierpaolo De Blasi 20 Oct '24

20 Oct '24

SEMINARS IN STATISTICS @ COLLEGIO CARLO ALBERTO <https://www.carloalberto.org/events/category/seminars/seminars-in-statistic…> Martedi 22 Ottobre 2024, presso il Collegio Carlo Alberto, in Piazza Arbarello 8, Torino, si terrà il seguente seminario: ------------------------------------------------ *12.00-13.00* Speaker: Beatrice Acciaio (ETH Zurich) Title: *Stretched Brownian Motion and Bass local-volatility model* Abstract: The concept of stretched Brownian motion (SBM) has been introduced by Backhoff-Veraguas et al (2020) as the unique solution to a dynamic formulation of the martingale transport problem. The name originates from the characteristic of mimicking as closely as possible the movement of a Brownian particle, while fitting the prescribed marginals. Conze and Henry-Labordere (2021) suggested a fixed-point iteration scheme for the computation of the SBM. In this talk I will review fundamental results for the SMB and provide convergence results of the fixed-point iteration. This constitutes the building block for the computation of the Bass local volatility model, which is a Markov model perfectly calibrated to vanilla options for finite maturities, and an approximation of the Dupire local volatility model. [Based on a joint work with A. Marini and G. Pammer.] ------------------------------------------------ Sarà possibile seguire entrambi i seminari anche in streaming: Join Zoom Meeting <https://us02web.zoom.us/j/85297679121?pwd=LBx0D9qCgMil8TYPZzR6bXKyAleCgR.1> I seminari sono organizzati dalla "de Castro" Statistics Initiative www.carloalberto.org/stats -- Pierpaolo De Blasi University of Torino & Collegio Carlo Alberto carloalberto.org/pdeblasi <https://sites.google.com/a/carloalberto.org/pdeblasi/>

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