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MOX COLLOQUIA - Mark Girolami - 9 Ottobre - Politecnico di Milano
by Laura Maria Sangalli 30 Sep '25

30 Sep '25

Cari Colleghi, vi segnalo il seguente seminario della serie dei MOX COLLOQUIA: 09.11.25 ore 14:00 - Aula Consiglio, Edificio 14, Politecnico di Milano Speaker: Mark Girolami, University of Cambridge, Department of Engineering and The Alan Turing Institute Titolo: Statistical Finite Element Methods Abstract: The finite element method (FEM) is one of the great triumphs of applied mathematics, numerical analysis and software development. Recent developments in sensor and signalling technologies enable the phenomenological study of complex natural and physical systems. The connection between sensor data and FEM has been restricted to solving inverse problems placing unwarranted faith in the fidelity of the mathematical description of the system under study. If one concedes mis-specification between generative reality and the FEM then a framework to systematically characterise this uncertainty is required. This talk will present a statistical construction of the FEM which systematically blends mathematical description with data observations by endowing the Hilbert space of FEM solutions with the additional structure of a Probability Measure. This initiative is part of the “Ph.D. Lectures” activity of the project "Departments of Excellence 2023-2027" of the Department of Mathematics of Politecnico di Milano. This activity consists of seminars open to Ph.D. students, followed by meetings with the speaker to discuss and go into detail on the topics presented during the talk. Contatto: laura.sangalli(a)polimi.it<mailto:laura.sangalli@polimi.it> Il seminario sarà accessibile online: https://mox.polimi.it/mox-colloquia-seminars-list/mox-seminars/?id_evento=2… https://cassyni.com/events/LTNPwiAikdgXq3b4oMwNvR Per seguire il seminario in streaming, è necessario iscriversi (gratuitamente) sulla piattaforma Cassyni. Seguirà rinfresco presso il Dipartimento di Matematica. Cordiali saluti, Laura Sangalli —— Laura Maria Sangalli MOX - Dipartimento di Matematica Politecnico di Milano Piazza Leonardo da Vinci 32 20133 Milano - Italy (+39) 02 2399 4554 laura.sangalli(a)polimi.it https://sangalli.faculty.polimi.it

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Full professor position at Linz (Austria)
by Stefano Bonaccorsi 29 Sep '25

29 Sep '25

Professorship for Stochastics The Faculty of Engineering and Natural Sciences at the Johannes Kepler University Linz invites applications for a permanent professorship position under private law for a Professor of Stochastics to begin as soon as possible. The appointment is in accordance with § 98 of the Austrian Universities Act. An evaluation will be conducted after a five-year period. The successful candidate is expected to head the Institute of Stochastics, and represent and further develop research and teaching in the field of Stochastics. Please see the job opening for a detailed job description online at http://www.jku.at/professuren -- ________________________________ *My working hours may differ from yours, so feel free to respond at your convenience* Prof. Stefano Bonaccorsi Direttore Dipartimento di Matematica Università di Trento +39 0461 281621

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PhD Scholarships @ Warwick
by Giuseppe Cannizzaro 29 Sep '25

29 Sep '25

Care/i colleghe/i, desideravo farvi presente questa possibilità di dottorato a Warwick e spero possiate informare studenti interessati. Cordiali saluti, Giuseppe ------------------------------------------------- The Probability group at the University of Warwick (*P@W <https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwarwick.a…>*) is looking for talented students to undertake their *PhD studies* with us. The successful applicant will join one of the *largest probability groups <https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwarwick.a…>* worldwide with an established track record of high-quality research and a broad range of interests <https://warwick.ac.uk/fac/sci/statistics/research/probability-at-warwick/re…>. The Probability group is *joint *between the Mathematics and Statistics Department and you can apply to either or *both* (recommended). See P@W <https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwarwick.a…> for a list of potential supervisors and their affiliation; *co-supervision* is possible and encouraged. The appointments include · *fully funded scholarships* for both UK and international students of the duration of 4 years; · a *travel allowance* for schools, workshops and conferences; · a *training fund* for extended research stays. Applications are received and assessed throughout the year on a *first-come-first-served basis. *For more information on funding please visit the webpage at the following *link <https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwarwick.a…>* . The programme consists of 6 months of *research training* with the possibility to attend graduate level courses taught by leading experts. Further, it is enriched by a variety of activities: 3 dedicated weekly *seminars*; *research focus groups* on cutting-edge topics; minicourses, workshops and conferences, ensuring a continued presence of international and distinguished visitors. Useful links: - P@W group: https://warwick.ac.uk/fac/sci/statistics/research/probability-at-warwick/ <https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwarwick.a…> - Research at P@W: https://warwick.ac.uk/fac/sci/statistics/research/probability-at-warwick/re… <https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwarwick.a…> - Fundings: https://warwick.ac.uk/fac/sci/statistics/postgrad/centre-for-doctoral-train… <https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwarwick.a…> - CDT in Statistics: https://warwick.ac.uk/fac/sci/statistics/postgrad/centre-for-doctoral-train… - CDT in Mathematics: https://warwick.ac.uk/fac/sci/maths/currentstudents/currentpostgraduates/ph…

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Oct 21 - Stats seminars Geneletti and Wrobleski @ Sapienza MEMOTEF
by Francesca Panero 29 Sep '25

29 Sep '25

Buongiorno a tutti, On Tuesday 21st of October at the MEMOTEF Department, Sapienza University, we will have the pleasure to listen to the seminars of Prof Sara Geneletti<https://www.lse.ac.uk/statistics/people/sara-geneletti> and the PhD student Trevor Wrobleski<https://trevorwrobleski.github.io/> from the Department of Statistics of the London School of Economics and Political Science. The seminars will take place 10-11am in Laboratorio Antonio Amato - Sala Corsi (on the third floor of Palazzina Presidenza, the staircase at the entrance of the Economics building, Via del Castro Laurenziano 9). You can find titles and abstracts below. Best wishes, Francesca Sara Geneletti Bayesian interrupted time-series models and their applications on welfare and mental health This talk is an overview of the research output of the Epitome project funded by the Wellcome Trust. The project involved 4 research streams, and we showcase results from each one of them. The main aims of this project were to a) understand the impact of Conservative government and their "austerity" policy which led to widespread cuts in social spending and b) to develop novel methodologies in the context of interrupted time series designs using Bayesian methods. Our project found that changes in welfare benefits had a detrimental effect on mental health which also had a spatial dimension, and that the impact of the "hostile environment policy", an anti-immigration policy on the mental health of African and Carribean communities was negative. We further extended the Bayesian Structural Time Series approach to accommodate multiple data points and confirmed the impact of the hostile environment policy using this alternative method. Finally, we developed a Cohort Markov Model to evaluate the impact of the welfare benefits change by looking at how it impacted different segments of the population. Trevor Wrobleski Robustness and Sensitivity in Bayesian Dose-Response Risk Assessment Bayesian methods are increasingly central to toxicological risk assessment, yet their application to sparse dose-response data presents unique challenges. This presentation examines three drivers of analytical robustness: (i) the choice of likelihood for overdispersed quantal data, (ii) the inferential impact of selective dose-group deletion, and (iii) the sensitivity of results to prior specification. Using simulations and a case study of antimony trioxide carcinogenicity, we quantify the impact of these choices on benchmark dose (BMD) estimates and the posterior distribution, using metrics like Mean Squared Error and symmetrized Kullback-Leibler (KL) divergence. Our findings show that modeling overdispersion with a Beta-Binomial likelihood is important for accurate uncertainty quantification. We also demonstrate that deleting informative mid-range dose groups can degrade precision and shift inference. Finally, for the Dichotomous Hill model, the prior on the Hill coefficient is the dominant lever on the BMD, capable of inducing multi-fold changes in the risk estimate. ------------------------------------------- Dr Francesca Panero (she/her) Assistant Professor in Statistics (RTT), Department of Methods and Models for Economics, Territory and Finance Sapienza University, Rome Visiting Fellow, Department of Statistics London School of Economics and Political Science Visiting Lecturer, Faculty of Informatics Università della Svizzera Italiana Website: https://francescapanero.github.io

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Seminario di Matematica, Scienza e Società al Dipartimento di Matematica- Sapienza
by Faggionato, Alessandra 29 Sep '25

29 Sep '25

Buongiorno, ricevo e con piacere inoltro. Buona giornata Alessandra ************************************************************* Avviso di seminario di Matematica, Scienza & Società Lunedì 6 ottobre 2025, alle ore 17.00 Sala di Consiglio del Dipartimento di Matematica G. Castelnuovo di Sapienza Università di Roma *Guido Barbujani (Università di Ferrara)* *Evoluzione della pigmentazione negli europei della preistoria* Sommario Oggi sembra scontato che chi ha origini europee abbia anche la pelle bianca, ma è così solo da poche generazioni. Lo studio del DNA antico permette di ricostruire come e quando sia cambiato il nostro aspetto (e anche quello dei nostri parenti neandertaliani), attraverso millenni di selezione naturale e migrazioni. -- ************************************************* 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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Fwd: Fwd: posizione PhD a Uni Basel
by Marco Romito 28 Sep '25

28 Sep '25

Ricevo e volentieri inoltro m. -------- Forwarded Message -------- Subject: Fwd: posizione PhD a Uni Basel From: Umberto PAPPALETTERA <umberto.pappalettera(a)alumni.sns.it> Cari colleghi, Desidero attirare la vostra attenzione su un posto di PhD in Matematica attualmente disponibile presso l’Università di Basilea, nel gruppo di ricerca del Prof. Gianluca Crippa. La posizione è finanziata dal grant SNF Ambizione “Investigating Anomalous Behaviour in Turbulent Fluids through Analytical and Probabilistic Methods” (grant numero 233216). La data di inizio è gennaio 2026, ma può essere posticipata fino a giugno 2026. La durata del dottorato è di 4 anni. Per maggiori informazioni https://jobs.unibas.ch/offene-stellen/phd-position-in-mathematics/cbbd6a7f-… Cordiali saluti, Umberto Pappalettera

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Workshop "Impact of the human activities on the environment and social making in an heterogenous setting: mathematical models and policy implications"
by Marta Leocata 26 Sep '25

26 Sep '25

Dear colleagues, We are glad to announce the workshop “Mathematical Models for the Impact of Human Activities on the Environment and Economic Decision Making", to be held in Luiss Campus, Rome, from October 1 to 3, 2025. This event is part of the PRIN 2022 Project with the name “Impact of the human activities on the environment and social making in an heterogenous setting: mathematical models and policy implications", funded by the Italian Ministry of University and Research. For further information, please refer to the workshop website https://sites.google.com/view/workshopprin20223pnj8k/home-page Workshop PRIN20223PNJ8K sites.google.com Registration is free, but mandatory at the link: https://docs.google.com/forms/d/e/1FAIpQLSdex2tns1McoyT3XKfemXBpc0T9uAcgd-x… Should you need any further information, please do not hesitate to contact us at mleocata(a)luiss.it <mailto:mleocata@luiss.it>, abondi(a)luiss.it <mailto:abondi@luiss.it>. Best regards, The Organizers

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Seminario on-line PRISMA lunedì 6 ottobre 2025 - C. Franceschini & F. Sau
by Sonia Mazzucchi 25 Sep '25

25 Sep '25

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. Dallo scorso anno le registrazioni dei seminari vengono pubblicate sul canale YouTube dell'UMI: https://youtube.com/playlist?list=PLmySpc-jrtAMq84VH71evyqPc1hl6eEQb Il prossimo appuntamento è per *lunedì 6 ottobre* 2025. I relatori saranno *Chiara Franceschini* (Università di Modena e Reggio Emilia) e *Federico Sau* (Università di Milano Statale) che parleranno di: *Sistemi interagenti del non-equilibrio: dualità e gap spettrali* 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://unitn.zoom.us/j/83547578084 ID riunione: 835 4757 8084 Codice d’accesso: 873866 Vi aspettiamo numerosi! Alberto Chiarini e Sonia Mazzucchi %%%%%%%%%%%%%%%%%%%%%%%%%%%% RELATORI: Chiara Franceschini (Università di Modena e Reggio Emilia) e Federico Sau (Università di Milano Statale) TITOLO: Sistemi interagenti del non-equilibrio: dualità e gap spettrali RIASSUNTO: In questo seminario verranno presentati alcuni modelli di sistemi interagenti con spin sia discreti che continui. Tra gli esempi principali figurano il modello di Kipnis-Marchioro-Presutti (1982) e il processo armonico recentemente introdotto. Quando questi modelli sono studiati su un reticolo unidimensionale in contatto con reservoir ai bordi, costituiscono un setting classico per l’analisi di fenomeni tipici della meccanica statistica fuori dall’equilibrio. Tutti i modelli considerati sono associati alla Lie algebra su(1,1) e condividono diverse caratteristiche strutturali, tra cui la proprietà di dualità. Nella prima parte del seminario introdurremo il concetto di dualità per i processi di Markov, illustrando come esso consenta di derivare limiti di scala macroscopici (come l’equazione idrodinamica e i principi di grandi deviazioni) e ottenere informazioni sulla misura stazionaria fuori dall’equilibrio, esplicitamente nota solo per alcuni casi specifici. Nella seconda parte prenderemo in esame modelli definiti anche su grafi arbitrari, focalizzandoci sullo studio del gap spettrale e sulla convergenza all’equilibrio.

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Fwd: Three-year (Post)doctoral position in functional data analysis at HU Berlin
by Enea Bongiorno 25 Sep '25

25 Sep '25

ricevo e inoltro Enea ---------- Forwarded message --------- From: Sonja Greven <Sonja.Greven(a)hu-berlin.de> Date: Wed, 24 Sept 2025 at 13:16 Subject: Three-year (Post)doctoral position in functional data analysis at HU Berlin To: Sonja Greven <sonja.greven(a)hu-berlin.de> Dear colleagues, I have the following three year full-time (post)doctoral position in a DFG-project on functional and shape data analysis advertised. I would greatly appreciate it if you could forward to suitable students / colleagues (or email lists). Many thanks and best wishes, Sonja *Research fellow (m/f/d) at the Chair of Statistics with expected full-time employment * *- E 13 TV-L HU (third-party funding limited to 3 years)* The Chair of Statistics at Humboldt-Universität zu Berlin is looking for a research fellow within the project "Flexible regression methods for curve and shape data" funded by the German Research Foundation (2nd funding period). This project in the field of functional data analysis develops statistical methods for curve and shape-valued observations. Job description: - scientific service in research in the third-party funded project "Flexible regression methods for curve and shape data" - development of statistical methods in the field of functional data analysis - scientific dissemination of the project results - tasks for personal scientific qualification Requirements: - completed scientific university education in statistics, mathematics, data science or a related field with statistical methodological focus, PhD desirable - very good command of written and spoken English (min. B2) - solid command of programming languages (preferably R and Python) - ability to develop statistical methods and engage in interdisciplinary collaboration - strong teamwork and communication skills We offer integration into a lively and interdisciplinary team, family-friendly working hours and an excellent research environment. We support career development through opportunities for further training and mentoring. Please send your application (including cover letter, CV, relevant certificates and grades as well as contact details of two academic references) within 4 weeks, referencing the job ID DR/192/25 to Humboldt-Universität zu Berlin, Faculty of Economics and Business Administration, Prof. Dr. Sonja Greven (located: Spandauer Straße 1), Unter den Linden 6, 10099 Berlin or preferably in electronic form as a single PDF file (max. 10 MB) to stat(a)wiwi.hu-berlin.de with CC to sonja.greven(a)hu-berlin.de. For further information please contact Prof. Sonja Greven. The Humboldt-Universität zu Berlin is seeking to increase the proportion of women in research and teaching, and specifically encourages qualified female scholars to apply. Severely disabled applicants with equivalent qualifications will be given preferential consideration. People with an immigration history are specifically encouraged to apply. Since we will not return your documents, please submit copies in the application only. Data protection information on the processing of your personal data in the context of the tender and selection procedure can be found on the homepage of Humboldt-Universität zu Berlin: https://hu.berlin/DSGVO. Please visit our website www.hu-berlin.de/stellenangebote, which gives you access to the legally binding German version. ---------------------------------------------------------------------- Prof. Dr. Sonja Greven Chair of Statistics School of Business and Economics Humboldt-Universität zu Berlin Spandauer Str. 1, room 402 D-10178 Berlin Phone: +49-30-2093-99509 https://hu.berlin/sg ---------------------------------------------------------------------- -- 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 ------ Math-Stat Seminars at UPO seminari-ms.uniupo.it/home-page ------

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QFinLab Seminar - Anna Maria Gambaro (Università del Piemonte Orientale) - 1/10/2025, 12:15 @ Department of Mathematics, Politecnico di Milano
by Alessandro Calvia 25 Sep '25

25 Sep '25

Dear colleagues, you are all invited to participate in the following seminar organized by QFinLab - Department of Mathematics, Politecnico di Milano. Wednesday, 1 October 2025, 12.15-13.15 Seminar room, third floor, building 14, Via Bonardi 9, Milano (Leonardo Campus) Anna Maria Gambaro (Università del Piemonte Orientale) Title: Functional PCA for Risk-Neutral densities in Bayes Hilbert space. Abstract: In this work, we investigate the main drivers of risk-neutral densities of quoted stocks, using the functional principal component analysis (FPCA). To this end, we first construct a historical series of risk-neutral densities corresponding to quoted option prices with fixed time to maturity, using exponential expansions of orthogonal polynomials. Then, we apply the centered log-ratio transformation (CLRT) to the extracted densities and we perform the FPCA in the Bayes–Hilbert space. The CLRT provides an isometric isomorphism between the Bayes space of square log-integrable densities and the classical Hilbert space of square-integrable functions. As a result, the projected data onto the principal component basis correspond to the CLRT-transformed densities, and the application of the inverse CLRT yields proper density functions. Furthermore, by modeling the historical series of FPCA loadings as a stochastic process, we exploit the FPCA representation for forecasting purposes. Finally, we discuss extensions of this framework to cross-asset analyses and to the modeling of option price surfaces. This is a joint work with A. Amici e G. Fusai. Attendance is also possible online (Microsoft Teams), clicking here.<https://teams.microsoft.com/l/meetup-join/19%3ameeting_YmFlY2M5OWEtYzg1OS00…> All news can be found on the QFinLab webpage<https://www.qfinlab.polimi.it/seminars-and-meetings/>. The organizers: Michele Azzone and Alessandro Calvia.

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