May 2026 - Random - Mailing list — Dipartimento di Matematica, UniPI

Fwd: PhD Program Call for Applications
by Irene Crimaldi 19 May '26

19 May '26

FYI ---------- Forwarded message --------- From: Silvio VISMARA <silvio.vismara(a)unibg.it> Dear all The call for applications for our PhD program in Intelligence Systems for Business Administration (ISBA) is now online and will remain open for one month. Please find the link here: https://www.unibg.it/node/19538 Here, the link to the PhD program webpage: https://phd-isba.unibg.it/en I would be very grateful if you could share it within your network. We hope to attract a strong pool of applicants! Have a great weekend. Silvio

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Seminario presso Politecnico di Milano - M. Fontana - Royal Holloway University of London
by Laura Maria Sangalli 19 May '26

19 May '26

Cari Colleghi, A seguire annuncio di un seminario MOX organizzato dal gruppo di Statistica: Matteo Fontana, Royal Holloway - University of London 04.06.26 ore 12:30 – Aula Saleri Link: https://mox.polimi.it/mox-colloquia-seminars-list/mox-seminars/?id_evento=2… Titolo: Distribution-Free Inference for Multivariate Outputs and Time-Dependent Observations Abstract: Conformal prediction delivers finite-sample, distribution-free coverage guarantees, but its classical formulation is largely confined to univariate outputs and exchangeable observations. In this seminar I present two contributions that extend the framework along these axes. The first concerns multi-output conformal regression. I introduce a unified comparative study of nine methods - marginal, density-based, and sample-based - that clarifies their theoretical relationships and reveals that several sample-based methods are special cases of density-based ones. Within this framework I propose two novel classes of conformity scores: CDF-based scores, yielding a method (C-PCP) that achieves asymptotic conditional coverage using only samples from a generative model; and latent-based scores, yielding a computationally efficient method (L-CP) for invertible generative models. A large-scale empirical study across thirteen datasets confirms the predicted ordering of methods on conditional coverage, region size, and computational cost. The second contribution addresses multi-step forecasting under temporal dependence. I introduce JANET, which extends generalised conformal prediction from the transductive to the inductive setting and constructs joint prediction regions controlling the K-familywise error rate - a more flexible criterion than FWER for long horizons. The framework provides exact validity for independent series and approximate validity for single series under weak ergodicity, matching bootstrap alternatives at a fraction of the cost. Un caro saluto, Laura —— 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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PhD in Probability in Sapienza - application deadline June 17
by Lorenzo Taggi 19 May '26

19 May '26

Dear colleagues, We would like to announce the publication of the call for applications for the PhD program in Mathematics at Sapienza University of Rome: - Sapienza PhD admissions <https://www.uniroma1.it/en/pagina/admissions-2026-2027-phd-programmes> The call includes 8 PhD scholarships covering different areas of mathematics, with the possibility of pursuing a research project in Probability on one of the research topics of the department: - Some resarch lines of the Phd Program <https://phd.uniroma1.it/web/Research_nK139_EN.aspx> - Probability and Mathematical Physics in Sapienza <https://www.mat.uniroma1.it/it/research-group-stochastic-models-mathematica…> The PhD program will start in November 2026. Candidates are required to have completed a Master’s degree by the starting date of the program. For further information or assistance with the application, please contact lorenzo.taggi(a)uniroma1.it. or faggiona(a)mat.uniroma1.it The deadline for applications and payment of the application fee is June 17, 2:00 PM (CET). Best regards, Lorenzo Taggi

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Seminario alla Sapienza Università di Roma - Diederik van Engelenburg (TU Wien)
by Lorenzo Taggi 18 May '26

18 May '26

Care colleghe, cari colleghi, vi segnalo per martedì *26 maggio *alle* ore 14:00 *il seminario di Diederik van Engelenburg (TU Wien), che si terrà presso il dipartimento "Guido Castelnuovo" della Sapienza, dal titolo: *One-arm exponents of the high-dimensional Ising model* Riporto sotto i dettagli. Saluti, Lorenzo Taggi *Luogo:* Sala di Consiglio, Dipartimento "Guido Castelnuovo", Sapienza Università di Roma. *Speaker:* Diederik van Engelenburg <https://sites.google.com/view/diederik-van-engelenburg/homepage> (TU Wien) *Title*: One-arm exponents of the high-dimensional Ising model *Abstract: * In this talk, I will focus on behavior of the Ising model in high dimensions (d ≥ 4). Widom proposed that thermodynamic quantities follow power laws governed by critical exponents, and above the *upper critical dimension d_c = 4*, these exponents reduce to the mean-field values (matching those on trees or complete graphs). I will talk about a recent work about the so-called *one-arm event *(the origin connects to distance n) in the FK-Ising model, We observe that this exponent depends on the boundary condition: for wired boundary conditions, we prove that this probability decays up to constants as n^(-1) for d ≥ 4, whereas in infinite volume we prove that it decays as n^(-2) for d ≥ 6, but *not* for d = 4, 5.

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Seminario presso Politecnico di Milano - Caterina Gregorio, Karolinska Institutet
by Laura Maria Sangalli 18 May '26

18 May '26

Cari Colleghi, A seguire annuncio di un seminario MOX organizzato dal gruppo di Statistica: 21.05.26 ore 15:45 – Aula Saleri Caterina Gregorio, Karolinska Institutet Link: https://mox.polimi.it/mox-colloquia-seminars-list/mox-seminars/?id_evento=2… Titolo: Statistical methods for health trajectories in aging and chronic Illness Abstract: Aging is a complex, lifelong process characterized by the accumulation of chronic conditions, functional decline, and increasing heterogeneity in health trajectories. Improving our understanding of aging is essential for identifying critical windows for prevention and intervention in older populations. However, longitudinal aging studies pose substantial statistical challenges due to intermittent observation, partial observability of health trajectories, and the presence of multiple biological processes evolving continuously over time. In this seminar, I will present my current research on the development and application of statistical methodologies to address etiological questions in aging research and to construct longitudinal aging metrics that support inference, individualized prediction, and data-driven evaluation of preventive interventions for healthy aging. The focus will be on extensions of classical multistate models that address interval censoring and hidden states, as well as on multivariate mixed latent formulations motivated by research questions in dementia, multimorbidity, and biological aging. Simulation studies and applications to population-based aging cohorts are used to evaluate model performance and to illustrate the practical implementation of these methods. Un caro saluto, Laura —— 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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Call of interest – Position in Mathematics at University of Bologna
by Andrea Pascucci 18 May '26

18 May '26

The Department of Mathematics of the University of Bologna has opened a call of interest for a position in Mathematics at the level of either: * Tenure Track Researcher (RTT) * Associate Professor The call is aimed at researchers currently employed outside Italy with strong expertise and an outstanding research profile in any area of Mathematics. Deadline for expressions of interest: June 5, 2026. Applications should be sent to: mat.direzione(a)unibo.it Required documents: * updated CV (signed and dated) * up to 3 reference letters (sent directly by referees) * certificate of current employment Shortlisted candidates may be invited to give a seminar on June 17, 2026 at 2:00 pm. More information: https://matematica.unibo.it/it/notizie/call-of-interest-position-in-mathema… -- --------------------------------------------------------------- Andrea Pascucciandrea.pascucci(a)unibo.it Dipartimento di Matematica P.zza di Porta S. Donato, 5 40126 Bologna - Italy Office Tel. +39-0512094428 Fax +39 0510821834 https://sites.google.com/view/andrea-pascucci/ Skype: andrea.pascucci https://unibo.zoom.us/j/8625962910 ---------------------------------------------------------------

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Jodi Dianetti's Seminar on Thursday, May 21 at 11am Dip Matematica UNIBO Aula Arzelà
by Cristina Di Girolami 18 May '26

18 May '26

Dear colleagues, next Thursday, May 21 at 11:00 a.m. in Arzelà (5th floor, Department of Mathematics, Piazza di Porta San Donato, Bologna), there will be a seminar by Jodi Dianetti, University of Rome Tor Vergata, entitled: "REINFORCEMENT LEARNING FOR EXPLORATORY OPTIMAL STOPPING: A SINGULAR CONTROL FORMULATION" and abstract "In this talk we discuss continuous-time and state-space optimal stopping problems from a reinforcement learning perspective. We begin by formulating the stopping problem using randomized stopping times, where the decision maker's control is represented by the probability of stopping within a given time--specifically, a bounded, non-decreasing, càdlàg control process. To encourage exploration and facilitate learning, we introduce a regularized version of the problem by penalizing it with the cumulative residual entropy of the randomized stopping time. The regularized problem takes the form of an (n+1)-dimensional degenerate singular stochastic control with finite-fuel. We address this through the dynamic programming principle, which enables us to identify the unique optimal exploratory strategy. For the specific case of a real option problem, we derive a semi-explicit solution to the regularized problem, allowing us to assess the impact of entropy regularization and analyze the vanishing entropy limit. Finally, we propose a reinforcement learning algorithm based on policy iteration. We show policy improvement results for our proposed algorithm. This talk is based on a joint project together with Giorgio Ferrari and Renyuan Xu." It will be possible to follow online https://teams.microsoft.com/meet/363719926275962?p=aGps6f8abNyfzCedl5 https://teams.microsoft.com/meet/363719926275962?p=aGps6f8abNyfzCedl5 codice: ID riunione: 363 719 926 275 962 Passcode: yP9hT6CJ Best regards, Cristina Di Girolami

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Seminars in Statistics at Collegio Carlo Alberto - Yuqiong WANG (UNIVERSITY OF MICHIGAN)
by Matteo Giordano 18 May '26

18 May '26

SEMINARS IN STATISTICS @ COLLEGIO CARLO ALBERTO <https://www.google.com/url?q=https://www.carloalberto.org/events/category/s…> Martedì 26/05/2026, presso il Collegio Carlo Alberto, in Piazza Arbarello 8, Torino, si terrà il seguente seminario: ------------------------------------------------ 12.00-13.00 Speaker: Yuqiong WANG (UNIVERSITY OF MICHIGAN) Title: Optimal match lengths in knock-out tournaments Abstract: Later-stage matches in sports tournaments, especially semifinals and finals, are often treated as more important and therefore played longer. We ask whether this intuition can be justified from a sequential testing viewpoint. We study a knock-out tournament with $2^n$ players in which each match is modeled by a Brownian motion with an unobservable drift, representing the players' relative abilities. The tournament designer chooses how long each match should be played so that the strongest player wins the tournament with a prescribed probability. We analyze two design regimes: $(i)$ deterministic designs, where all match lengths are fixed in advance, and $(ii)$ sequential designs, where match duration can adapt to the observed paths. Our main structural result shows that in both regimes, the optimal schedule makes the late-round matches longer than early-round matches, providing a formal statistical justification for common tournament practice. We also quantify the efficiency gain from allowing sequential decisions: sequential testing saves at least $36\%$ and at most $75\%$ on average. Moreover, the relative advantage of sequential methods grows as one requires higher precision. ------------------------------------------------ Sarà possibile seguire il seminario anche in streaming: chiunque volesse collegarsi è pregato di inviare un’email 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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Invitation to StatMod2026: Statistical Modeling with Applications (18–19 September 2026, Cyprus)
by Rita Giuliano 15 May '26

15 May '26

Buongiorno. Ricevo e inoltro Rita Giuliano -------- Messaggio Inoltrato -------- Oggetto: Reminder: Invitation to StatMod2026: Statistical Modeling with Applications (18–19 September 2026, Cyprus) Data: Tue, 12 May 2026 06:08:42 +0000 Mittente: Milto Hadjikyriakou <MHadjikyriakou(a)uclan.ac.uk> A: Milto Hadjikyriakou <MHadjikyriakou(a)uclan.ac.uk> CC: Bojana Milosevic <mazaupc(a)gmail.com>, Vlad Stefan Barbu <vladstefan.barbu(a)univ-rouen.fr>, Salim Bouzebda <salim.bouzebda(a)utc.fr>, Guglielmo DAmico <g.damico(a)unich.it>, alex.karagrigoriou(a)unipi.gr <alex.karagrigoriou(a)unipi.gr>, vasilepreda0(a)gmail.com <vasilepreda0(a)gmail.com>, Andreas Artemiou <artemiou(a)uol.ac.cy>, Makridis Andreas <amakridis(a)aegean.gr>, Andreas Anastasiou <anastasiou.andreas(a)ucy.ac.cy>, Costas Christofi <costas.christophi(a)cut.ac.cy>, Petroula Mavrikiou <p.mavrikiou(a)frederick.ac.cy>, Haritini Tsangari <tsangari.h(a)unic.ac.cy>, MICHAILIDOU Kyriaki <kyriakimi(a)cing.ac.cy>, Emmanouil-Nektarios Kalligeris <ekalligeres(a)gmail.com> Dear Colleagues, We are pleased to invite you to */StatMod2026: Statistical Modeling with Applications/*, which will take place on *18–19 September 2026 in Pyla, Larnaka, Cyprus.* StatMod2026 brings together researchers, academics, and practitioners working on modern statistical modeling and its applications across a wide range of fields, including data science, finance, economics, engineering, reliability, risk analysis, and applied probability. The conference places particular emphasis on the interaction between theoretical developments and real-world applications, making it highly relevant to organisations operating in data-driven environments. The conference is organised with the support of _UCLan Cyprus_ and is backed by a strong network of international scientific societies and research institutions. These include the _Cyprus Statistical Society_, the _Greek Statistical Institute_, the _Laboratory of Mathematics Raphaël Salem and the University of Rouen Normandy (France)_, the _French National Centre for Scientific Research (CNRS)_ and the _Fédération Normandie-Mathématiques_, as well as leading Romanian institutions and societies such as the _Romanian Society of Probability and Statistics_, the _Romanian Society of Applied and Industrial Mathematics_, the “_Costin C. Kirițescu” National Institute of Economic Research of the Romanian Academy_, and the “_Gheorghe Mihoc – Caius Iacob” Institute of Mathematical Statistics and Applied Mathematics of the Romanian Academy_. *Venue* UCLan Cyprus, Larnaka * * *Important Dates* * Deadline for Registration: 1 June 2026 * Deadline for Abstract Submission: 1 June 2026 * Deadline for Special Session Proposals: 1 June 2026 Further information about the conference, including registration and submission details, is available on the conference website ΣtatMod2026 <https://statmod2026.uclancyprus.ac.cy/index.html>. *Steering Committee* * Vlad Stefan Barbu, Founding Member, LMRS, Univ. of Rouen-Normandy, France & “Costin C. Kirițescu” National Institute of Economic Research of the Romanian Academy, Romania * Salim Bouzebda, Univ. of Technology of Compiègne, France * Guglielmo D'Amico, Univ. “G. d’Annunzio” of Chieti-Pescara, Italy * Milto Hadjikyriakou, Acting Chair, Univ. of Central Lancashire, UCLan Cyprus * Alex Karagrigoriou, Univ. of Piraeus, Greece * Bojana Milošević, Univ. of Belgrade, Faculty of Mathematics, Serbia * Vasile Preda, Founding Member, Honorary Chair, “Gheorghe Mihoc – Caius Iacob” Institute of Mathematical Statistics and Applied Mathematics of the Romanian Academy & “Costin C. Kirițescu” National Institute of Economic Research of the Romanian Academy, Univ. of Bucharest, Romania We would be grateful if you could circulate this invitation among colleagues and interested researchers. We look forward to welcoming you to Cyprus for what promises to be an engaging and stimulating scientific event. With kind regards, On behalf of the StatMod2026 Organising Committee *Milto Hadjikyriakou* Assistant Professor in Mathematics and Statistics ** School of Sciences *UCLan Cyprus* T. +357 24 69 4017 E. _mhadjikyriakou__(a)uclan.ac.uk_ <mailto:xxxxx@uclan.ac.uk> Where opportunity creates success University of Central Lancashire <https://www.uclancyprus.ac.cy> Please consider the environment before printing.

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3 Postdoc positions in Probability at Sapienza University of Rome
by Silvestri, Vittoria 14 May '26

14 May '26

Dear colleagues, **Apologies for the repeated message, the first announcement contained an outdated attachment** This is to advertise the opening of *3 Postdoc positions* (Contratti di Ricerca) within the FIS 2 project *Understanding pattern formation in nature via Complex Analysis <https://sites.google.com/view/fis2-pattern-formation/home-page> *at Sapienza University of Rome (details below). Please note the short application window. I would be grateful if you could share this message with anyone who might be interested. Best wishes, Vittoria Silvestri ----------------------------- 3 Postdoc positions (2 years) Link to the call: https://web.uniroma1.it/trasparenza/dettaglio_bando_albo/244870 Link to the online application: https://xup.mat.uniroma1.it/Home/CPService Deadline for applications: 7 June 2026 - strict Research topic: Probability, random growth models Duration: 2 years Monthly salary: approx 2800€ per month before taxes (Note: candidates moving to Italy after at lest 2 years abroad will not pay taxes for the duration of the postdoc. More information here <https://www.agenziaentrate.gov.it/portale/web/guest/docenti-e-ricercatori-r…> ) Selection procedure: based on CV, publications (max 5) and an interview (which can be held on zoom). Starting date: soon after the conclusion of the selection procedure (except for candidates in need of an Italian VISA). ******************************** Vittoria Silvestri Associate Professor Department of Mathematics University "La Sapienza" Piazzale Aldo Moro, 5 00185 - Rome ********************************

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