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Phd Lectures at University of Verona - Prof. Josef Teichmann
by Athena Picarelli 27 Nov '25

27 Nov '25

Dear colleagues, We are pleased to announce that the PhD course in Economics and Finance of the University of Verona will host a series of seminars by Prof. Josef Teichmann (ETH). *Title.* Mathematics of new technologies in Finance: Analytic and Stochastic Methods for generative AI with some applications to Finance and machine learning *Abstract.* The analytic and stochastic theory for Langevin dynamics in view of generative AI is introduced and generalized towards hypo-elliptic diffusions. Some examples for scenario generation are included. *Program:* Lecture 1: Foundations of universal approximation theory (3 hours) Lecture 2: Generalized Langevin dynamics on manifolds (3 hours) Lecture 3: Generative AI via time reversed Langevin dynamics (3 hours) Lecture 4: Applications in Finance *Timetable:* *December, 3 (room SMS.03, floor -1)*: 14.30 - 16.00 Lecture 1 16.00 - 16.30 Break 16.30 - 18.00 Lecture 1 *December, 4 (room SMS.03, floor -1)*: 9.00 - 10.30 Lecture 2 10.30 - 11.00 Break 11.00 - 12.30 Lecture 2 14.30 - 16.00 Lecture 3 16.00 - 16.30 Break 16.30 - 18.00 Lecture 3 *December, 5 (room Vaona, floor 1)*: 9.00 - 10.30 Lecture 4 10.30 - 11.00 Break 11.00 - 12.30 Lecture 4 Lectures will take place at the Department of Economics, located in Ex-Caserma Santa Marta, Via Cantarane 24, Verona. Here the Zoom link to attend the lectures remotely: https://univr.zoom.us/j/83283477827 ID riunione: 832 8347 7827 Please feel free to share it with interested participants. Looking forward to your participation. Best regards, Athena Picarelli --------- *Athena Picarelli* Professor Coordinator of the PhD program in Economics and Finance Dipartimento di Scienze Economiche Università di Verona Polo Santa Marta, Verona.

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Workshop Junior Female Researchers in Probability in Berlin, 24--26 June 2026
by Alexander Zass 27 Nov '25

27 Nov '25

Care colleghe e colleghi, vi annunciamo che sono aperte le registrazioni per il workshop Junior Female Researchers in Probability, che si terrà a Berlino dal 24 al 26 giugno 2026. Sotto l’annuncio completo. Vi prego di diffonderlo a chiunque crediate possa interessare. Alexander Zass — We're excited to announce the workshop Junior Female Researchers in Probability, taking place June 24–26, 2026 at TU Berlin. The workshop offers junior female researchers in probability a platform to present their research and network in an informal setting. Keynote lectures will be given by: Patricia Alonso Ruiz (University of Jena) Alison Etheridge (University of Oxford) Patriçia Goncalves (IST Lisbon) Additional invited talks will be given by: Alejandra Avalos-Pacheco (JKU Linz) Ofelia Bonesini (LSE London) Chengcheng Ling (University of Augsburg) We warmly invite those who identify as female to submit abstracts for contributed talks, and apply for financial support for travelling to Berlin. For details on abstract submission and registration, visit the website: https://www.wias-berlin.de/workshops/JFRP26/ The deadline for registration is March 1, 2026. The organising team — Peter Bank, Franziska Bielert, Dörte Kreher, Helena Kremp, Gemma Sedrakjan, Janine Steck, Thomas Wagenhofer, Maite Wilke Berenguer, Alexander Zass — is looking forward to welcoming you in Berlin for a productive and engaging workshop.

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Course by Andrea CREMASCHI (IE University) at University of Torino
by Matteo Giordano 27 Nov '25

27 Nov '25

Dear Colleagues, As part of the Visiting Professors program of the Master's Degree in Stochastics and Data Science at the University of Torino (full program available at https://www.master-sds.unito.it/go/visiting) we are pleased to announce the following course: ——————————————————— Andrea CREMASCHI (IE University Madrid) BAYESIAN MIXTURE MODELS AND NONPARAMETRICS (16 HOURS) This course introduces Bayesian approaches to mixture modelling and nonparametric inference. Starting from finite mixture models, it explores Bayesian nonparametrics through the Dirichlet Process (DP) and mixtures with random number of components (Mixtures of Finite Mixtures, MFM). Students will gain both theoretical understanding and practical experience with modern computational algorithms for posterior inference and clustering applications. ——————————————————— The course will be held exclusively in-person, according to the following schedule: - Tue Dec 2, h. 16-18 - Wed Dec 3, h. 14-16 - Thu Dec 4, h. 14-16 - Tue Dec 9, h. 16-18 - Wed Dec 10, h. 14-16 - Thu Dec 11, h. 14-16 - Wed Dec 17, h. 14-16 - Thu Dec 18, h. 14-16 Course location: Laboratorio Informatico "A. Sembenelli", third floor, Corso Unione Sovietica 218/bis, 10134, Torino. The participation is open to everyone interested. Best regards, Matteo Giordano Assistant Professor (RTDA) Department of Economics, Social Studies, Applied Mathematics and Statistics (ESOMAS) www.matteogiordano.weebly.com <https://matteogiordano.weebly.com/>

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Online seminar - Department of Economics - Ca' Foscari University of Venice
by Antonella Basso 27 Nov '25

27 Nov '25

Dear all, the Department of Economics of Ca' Foscari University of Venice organizes the following online seminar on*Friday, November 28 at 12:15 (ZOOM only)* by *Guglielmo Alessandro Visentin* (University of Reading) *The Financial Cost of Biodiversity Loss for SMEs *(joint with Lisa Schopohl and Simone Varotto) /Abstract: In this study, we investigate the impact of biodiversity loss on the performance of small and medium-sized enterprises (SMEs) in the United Kingdom and Ireland. Leveraging firms’ financial information and postcodes from Moody’s Bureau van Dijk and the Biodiversity Intactness Index – a geospatial dataset developed by the Natural History Museum – we geo-locate SMEs, quantify biodiversity loss in the area where firms operate, and assess their exposure to biodiversity-related risks over time. We then employ a fixed effects regression model to estimate the effect of biodiversity loss on firm performance. Our findings indicate that a one-standard-deviation decline in biodiversity leads to a statistically significant reduction in firm operating income by 0.59 percentage points. This impact is economically meaningful when benchmarked against the sample’s average operating income. Moreover, SMEs located in more ecologically degraded areas are found to be more exposed to biodiversity-related risks. We also provide evidence of the materiality of dependency risk, while transition risk appears to be non-material within the UK context. The results remain robust across various econometric specifications and when controlling for climate risk factors./ / / The Zoom link is: *https://unive.zoom.us/j/81355902934?pwd=4UWO6ugBkddwqj1v3RCbMNzPhOpIIh.1 ID riunione: 813 5590 2934 Passcode: dN548g */ / More information available here <https://www.unive.it/data/agenda/3/108966>/. / Best regards, Antonella Basso -- Antonella Basso Dipartimento di Economia Università Ca' Foscari Venezia Fondamenta S. Giobbe - Cannaregio 873 30121 Venezia - Italy Tel. +39-041-2346914 E-mail address:basso@unive.it Web page:https://www.unive.it/data/persone/5591751

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Probability and Analysis 2026 — Registration and Call for Talks and Posters
by Krzysztof Bogdan 27 Nov '25

27 Nov '25

Dear Colleagues, We would be grateful if you could consider or forward the following information to your collaborators or students. The conference Probability and Analysis 2026 will be held on 11–15 May 2026 in Będlewo, Poland. We accept talks and posters. The conference highlights recent developments at the intersection of probability and analysis, with sessions devoted to Markov processes, complex stochastic systems, PDEs and stochastic PDEs, harmonic analysis and martingales, and integrable probability. Further information and the registration form are available at: https://panda2026.pwr.edu.pl/ We look forward to seeing you in Będlewo. With best regards, Krzysztof Bogdan on behalf of the Organizers

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PhD positions at Imperial
by Passeggeri, Riccardo 27 Nov '25

27 Nov '25

Salve a tutti, Vorrei segnalarvi diverse borse di dottorato (PhD positions) nel Dipartimento di Matematica dell’Imperial College London: 1. CDT in Statistics and Machine Learning (joint with Oxford): https://statml.io/ 2. CDT in Mathematics for our Future Climate (joint with Reading and Southampton): https://www.mfccdt.ac.uk/ 3. Departmental PhD positions: https://www.imperial.ac.uk/mathematics/postgraduate/doctoral-programme/pros… 4. Dispongo di fondi per un dottorando da reclutare quest’anno. Per chi fosse interessato, non esiti a contattarmi: https://sites.google.com/site/riccardopasseggeri Cordiali Saluti, Riccardo

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Seminars in Statistics at Collegio Carlo Alberto - Andrea CREMASCHI (IE UNIVERSITY MADRID)
by Matteo Giordano 27 Nov '25

27 Nov '25

SEMINARS IN STATISTICS @ COLLEGIO CARLO ALBERTO <https://www.google.com/url?q=https://www.carloalberto.org/events/category/s…> Venerdì 05/12/2025, presso il Collegio Carlo Alberto, in Piazza Arbarello 8, Torino, si terrà il seguente seminario: ------------------------------------------------ 12.00-13.00 Speaker: Andrea CREMASCHI (IE UNIVERSITY MADRID) Title: Dependent Dirichlet-multinomial processes with random number of components Abstract: Bayesian nonparametric methods under partial exchangeability have largely focused on infinite support priors, yet almost-surely finite dimensional dependent mixtures remain underexplored despite their strong theoretical guarantees and performance in the exchangeable case. A novel class of finite dependent Dirichlet-multinomial processes and their counterparts are introduced, incorporating a prior on the number of components. The class is built on generalized Wishart unnormalized weights. It is proven that the normalized diagonals of correlated Wishart matrices admit a hierarchical negative binomial Dirichlet representation whose marginal laws are Dirichlet. The key distributional properties of the induced random probability measures are derived, showing they can achieve any prescribed dependence level and support efficient posterior computation without the need for costly variable augmentation schemes. The practical advantages of the proposed processes are further demonstrated through extensive simulation studies and the analysis of two real datasets: A benchmark dataset and a case study on sex-specific gene expression differences in the human brain, highlighting its flexibility and computational efficiency in capturing complex dependence structures. ------------------------------------------------ Sarà possibile seguire il seminario anche in streaming: chiunque volesse collegarsi è pregato di inviare una email entro *mercoledì 03/12/2025* a matteo.giordano(a)unito.it <mailto:matteo.giordano@unito.it> Il webinar è organizzato dalla "de Castro" Statistics Initiative (www.carloalberto.org/stats <http://www.carloalberto.org/stats>) in collaborazione con il Collegio Carlo Alberto. Cordiali saluti, Matteo Giordano Assistant Professor (RTDA) Department of Economics, Social Studies, Applied Mathematics and Statistics (ESOMAS) www.matteogiordano.weebly.com <https://matteogiordano.weebly.com/>

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REMINDER: OWABI - Clara Grazian - November 27 - 11am UK time
by Massimiliano Tamborrino 26 Nov '25

26 Nov '25

Dear all, this is a kind reminder of the next OWABI seminar www.warwick.ac.uk/owabi<http://www.warwick.ac.uk/owabi> by Clara Grazian<https://www.sydney.edu.au/science/about/our-people/academic-staff/clara-gra…> (University of Sidney), who will talk about "Approximate Bayesian Computation with Statistical Distances for Model Selection" tomorrow, Thursday the 27th November at 11am UK time, with an abstract reported below. Abstract: Model selection is a key task in statistics, playing a critical role across various scientific disciplines. While no model can fully capture the complexities of a real-world data-generating process, identifying the model that best approximates it can provide valuable insights. Bayesian statistics offers a flexible framework for model selection by updating prior beliefs as new data becomes available, allowing for ongoing refinement of candidate models. This is typically achieved by calculating posterior probabilities, which quantify the support for each model given the observed data. However, in cases where likelihood functions are intractable, exact computation of these posterior probabilities becomes infeasible. Approximate Bayesian computation (ABC) has emerged as a likelihood-free method and it is traditionally used with summary statistics to reduce data dimensionality, however this often results in information loss difficult to quantify, particularly in model selection contexts. Recent advancements propose the use of full data approaches based on statistical distances, offering a promising alternative that bypasses the need for handcrafted summary statistics and can yield posterior approximations that more closely reflect the true posterior under suitable conditions. Despite these developments, full data ABC approaches have not yet been widely applied to model selection problems. This paper seeks to address this gap by investigating the performance of ABC with statistical distances in model selection. Through simulation studies and an application to toad movement models, this work explores whether full data approaches can overcome the limitations of summary statistic-based ABC for model choice. Keywords: model choice, distance metrics, full data approaches Reference: C. Grazian, Approximate Bayesian Computation with Statistical Distances for Model Selection, preprint at ArXiv:2410.21603, 2025 The talk will be hosted on MS Teams Link: OWABI - Clara Grazian - Approximate Bayesian Computation with Statistical Distances for Model Selection | Meeting-Join | Microsoft Teams<https://teams.microsoft.com/meet/36518340835776?p=V9GRQQoSQKpFBofF2W> Meeting ID: 365 183 408 357 76 Passcode: 6Fg9nW7T 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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Invitation to submit minisymposia at ECMI2026 conference
by Alessandra Micheletti 25 Nov '25

25 Nov '25

Inoltro di seguito l’invito in oggetto da parte degli organizzatori di ECMI2026 https://ecmi2026.org/ecmi2026 Dear colleagues, As chair of organizing committee of ECMI2026 conference (29 June – 03 July 2026, Kaunas, Lithuania) I’d like to encourage you to suggest / register mini-symposia. The registration can be done at https://ecmi2026.org/deadlines. A mini-symposium is a set of several short, thematically connected talks organized around one specific topic. Each mini-symposium will include 3–5 speakers who present (15-20 min) their research, followed by discussion. Organizing a mini-symposium provides an excellent opportunity to bring together experts working on a focused topic, highlight emerging research directions, and strengthen collaboration within the community of industrial and applied mathematics. It is also a great way to increase the visibility of your research area and to stimulate discussion among participants with shared scientific interests. When submitting your proposal, you will be asked to provide the title of the mini-symposium, a brief description of its theme, and a preliminary list of potential speakers. If you have any questions regarding the format or the submission process, feel free to contact the organizing committee at ecmi2026(a)ktu.lt<mailto:ecmi2026@ktu.lt>. The deadline for registration is 31 December 2025. P.S. To help enhance the visibility of both your mini-symposium and the conference, we encourage you to follow and share our official LinkedIn event page: https://www.linkedin.com/events/23rdecmiconferenceonindustriala734791528174… . The hottest news, pictures and updates are also provided there. ------------------------------------------- Prof. Dr. Audrius Kabasinskas Dept. of Mathematical Modeling Kaunas University of Technology Studentu 50-144, LT - 51368 Kaunas, Lithuania Orcid: 0000-0001-6863-5895<https://orcid.org/0000-0001-6863-5895> Member of MSCA Industrial Doctoral Network on Digital Finance - Reaching New Frontiers<https://www.digital-finance-msca.com/> Organiser of ECMI conference 2026: https://ecmi2026.org/

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Seminar Torrisi at Tor Vergata, December 1
by Michele Salvi 25 Nov '25

25 Nov '25

Dear all, On Monday, December 1st, at 14h00 in Aula Dal Passo of Tor Vergata Math Department, RoMaDS (https://www.mat.uniroma2.it/~rds/events.php) will host Giovanni Luca Torrisi (CNR) with the seminar "Posterior Bayesian Neural Networks with Dependent and Heavy-Tailed Weights” Abstract: We consider fully connected and feedforward deep neural networks with dependent and possibly heavy-tailed weights. These networks have been introduced to alleviate the drawbacks due to a Gaussian initialization. In a Bayesian framework, when the likelihood is Gaussian, we identify the posterior distribution of the output in the sequential wide-width limit and, in the shallow case, we compute explicitly the posterior distribution of these models. The talk is based on a joint work with Nicola Apollonio and Giovanni Franzina. We encourage in-person partecipation. Should you be unable to come, here is the link to the Teams streaming: Seminar Torrisi | Meeting-Join | Microsoft Teams <https://teams.microsoft.com/meet/37478212870196?p=ZvSguZtFDlcsnw2iv2> The seminar is part of the Excellence Project MatMod@TOV.

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