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Announcement PhD course@UniPD - Mathematical Climate Finance, by Prof. Andrea Macrina
by Tiziano Vargiolu 14 Feb '25

14 Feb '25

We are pleased to announce the PhD course "Mathematical Climate Finance", held by Prof. Andrea Macrina (Department of Mathematics, University College London) The course is organized by the Doctoral Program in Mathematical Sciences, under the framework "Shaping a World-Class University" of the University of Padova --------------------- Outline This is an introduction to mathematical climate finance by in-depth treatment of some of the recent advances in this burgeoning field of research in financial mathematics. The focus will be on climate transition risk that, together with physical risk, is a major source of climate change risk impacting economies and financial markets. The mathematics, especially the formulation and modelling aspects, on which climate finance is based, is at the core of this course. The aim is thus the study and development of climate finance anchored in financial mathematics. Mathematical climate finance is an active area of research, and this course aims at keeping up- to-date with new insights and ongoing research progress in academia and the industry. A taste of the topic treated in this course can be sampled from the cover story in the Fields Notes, Vol. 12:4, Spring/Summer 2024. https://www.fields.utoronto.ca/sites/default/files/uploads/01875_FI_FieldsN… A more detailed description of the course can be found here: https://www.math.unipd.it/~dottmath/corsi2025/Macrina.pdf --------------------------- The course will consist of 16 hours, beginning on February 25, 2025 with the following calendar: 25/2 h. 15-17 27/2 h. 16-18 4/3 h. 15-17 6/3 h. 16-18 11/3 h. 15-17 13/3 h. 16-18 18/3 h. 15-17 19/3 h. 15-17 The course is free, but for organizing reasons we kindly ask all interested people to enroll the course here: https://servizi-esterno.math.unipd.it/userlist/lista/view?id=118 ------------------ Best regards Tiziano -------------------------------------------------------------------------- Tiziano Vargiolu Dipartimento di Matematica Phone: +39 049 8271383 Universita' di Padova Fax: +39 049 8271428 Via Trieste, 63 E-mail: vargiolu(a)math.unipd.it I-35121 Padova (Italy) WWW: http://www.math.unipd.it/~vargiolu --------------------------------------------------------------------------

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OWABI - Ayush Bharti - Feb 27
by Massimiliano Tamborrino 13 Feb '25

13 Feb '25

Dear all, the next OWABI seminar<http://www.warwick.ac.uk/oneworldabc> is scheduled on Thursday the 27th February at 11am. I am pleased to inform you that our next speaker is Ayush Bharti (Aalto University), who will talk about "Cost-aware simulation-based inference ", with an abstract reported below. The talk will be streamed on MS Teams on the OWABI Ms Teams channel OWABI Seminar: One World Approximate Bayesian Inference Seminar | General | Microsoft Teams<https://teams.microsoft.com/l/team/19%3AdhZ_4e_XLNJzCXPAMzTvT6BZ5KShEETkd_w…> You could join the meeting with the link and details below Join the meeting now<https://teams.microsoft.com/l/meetup-join/19%3adhZ_4e_XLNJzCXPAMzTvT6BZ5KSh…> Meeting ID: 311 178 293 223 Passcode: zg3E8kw3 Important: The virtual lobby has been removed, so everyone should now be able to join the seminar without any authorisation. Abstract: Simulation-based inference (SBI) is the preferred framework for estimating parameters of intractable models in science and engineering. A significant challenge in this context is the large computational cost of simulating data from complex models, and the fact that this cost often depends on parameter values. We therefore propose cost-aware SBI methods which can significantly reduce the cost of existing sampling-based SBI methods, such as neural SBI and approximate Bayesian computation. This is achieved through a combination of rejection and self-normalised importance sampling, which significantly reduces the number of expensive simulations needed. Our approach is studied extensively on models from epidemiology to telecommunications engineering, where we obtain significant reductions in the overall cost of inference. Keywords: simulation-based inference, approximate Bayesian computation, neural posterior estimation, neural likelihood estimation, importance sampling 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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QFinLab Seminar - Marzia De Donno (Università Cattolica del Sacro Cuore) - 19/2/2025, 12:15 @ Department of Mathematics, Politecnico di Milano
by Alessandro Calvia 13 Feb '25

13 Feb '25

Dear colleagues, you are all invited to participate in the following seminar organized by QFinLab - Department of Mathematics, Politecnico di Milano. Wednesday, 19 February 2025, 12.15-13.15 Seminar room, third floor, building 14, Via Bonardi 9, Milano (Leonardo Campus) Marzia De Donno (Università Cattolica del Sacro Cuore) Title: Short rate models with stochastic discontinuities: a PDE approach. Abstract: With the recent reform of interest rate benchmarks, interbank offered rates (IBORs) like LIBOR have been replaced by risk-free rates (RFRs), such as the Secured Overnight Financing Rate (SOFR) in the U.S. and the Euro Short-Term Rate (€STR) in Europe. These rates exhibit characteristics like jumps and spikes that correspond to specific market events, driven by regulatory and liquidity constraints. To capture these characteristics, this paper considers a general short-rate model that incorporates discontinuities at fixed times with random sizes. Within this framework, we introduce a PDE-based approach for pricing interest rate derivatives. For affine models, we derive (quasi) closed-form solutions, while for the general case, we develop numerical methods to solve the resulting PDEs. (Joint work with A. Calvia, C. Guardasoni, S. Sanfelici). Next seminar: Katia Colaneri (Università di Roma Tor Vergata), 5 March 12.00. 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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Procedura selettiva 2025RTT01 - Università di Padova
by Alessandra Fabbri Colabich 13 Feb '25

13 Feb '25

Si informa che è stato pubblicato il bando *2025RTT01 * relativo all'indizione di una procedura selettiva per l’assunzione di n. 15 ricercatori a tempo determinato in tenure-track (RTT) ai sensi dell’art. 24 della legge 240/2010 come modificato dalla L. 79/2022. In particolare, presso il Dipartimento di Scienze Statistiche: - uno nel *GSD 13/STAT-01*, SSD STAT-01/A STAT-01/B (Allegato 12) - uno nel *GSD 13/STAT-02*, SSD STAT-02/A (Allegato 13) Info al link: https://www.unipd.it/procedura-2025RTT01 *Scadenza: 13.03.2025 ore 13* Si prega di dare la massima diffusione presso tutti gli interessati. Grazie per la collaborazione Alessandra Fabbri Colabich -- Dott.ssa Alessandra Fabbri Colabich Università degli Studi di Padova Dipartimento di Scienze Statistiche

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Open Day – PhD Program in Mathematics, University of Bologna
by Andrea Pascucci 13 Feb '25

13 Feb '25

The PhD School in Mathematics at the University of Bologna is pleased to invite you to the Open Day of the PhD Program in Mathematics, an event dedicated to master’s students interested in pursuing advanced studies and research. During the event, you will have the opportunity to explore the main research areas within the PhD program, meet faculty members and PhD students, gain insights into the curriculum, and receive useful information on admission procedures, scholarships, and career opportunities. At the end of the presentations, there will be a dedicated session for questions and individual discussions. 📅 Date: Wednesday, March 5th, 2025 📍 Link: https://sites.google.com/view/mathphd-openday-bologna/home Don't miss this opportunity to learn more about the PhD Program in Mathematics! -- --------------------------------------------------------------- Andrea Pascucci andrea.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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I: PhD positions in Statistics (Amsterdam)
by Francesca Collet 13 Feb '25

13 Feb '25

Ricevo ed inoltro. Cordiali saluti, Francesca Collet ________________________________ Da: Eni Musta <e.musta(a)uva.nl> Inviato: mercoledì 12 febbraio 2025 17:44 A: Francesca Collet <francesca.collet(a)univr.it> Oggetto: PhD positions in Statistics (Amsterdam) Dear Francesca, Could you please distribute the announcement below about two PhD positions in Statistics? Many thanks, Eni ________________________________ Dear all, Applications are invited for two PhD positions in Statistics: one at the Korteweg-de Vries Institute for Mathematics of the University of Amsterdam and one at the department of Econometrics and Data Science of the Vrije Universiteit Amsterdam. The positions are part of a research project on survival analysis and extreme value theory, funded by the Dutch Research Council (NWO). More details about the vacancies can be found at the links below: * UvA position https://werkenbij.uva.nl/en/vacancies/phd-position-in-statistics-on-surviva… * VU Amsterdam position https://workingat.vu.nl/vacancies/phd-position-in-extreme-value-theory-for-… We would be grateful if you could share the vacancies with interested candidates. Best wishes, Eni Musta ____________________________________ Dr. E. Musta Assistant Professor of Statistics University of Amsterdam Korteweg-de Vries Institute for Mathematics Science Park 105-107, 1098 XG Amsterdam

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last call for the International Conference on Robust Statistics (ICORS 2025) - Stresa, 19-23 May 2025
by Francesca Greselin 11 Feb '25

11 Feb '25

*** Apologies for cross-posting *** Dear Colleagues, In response to numerous requests, we are happy to inform you that a few slots remain available for contributed papers at the *International Conference on Robust Statistics (ICORS 2025)*. This event is dedicated to advancing research in *robust statistics and data science*. *Date:* 19-23 May 2025 *Location:* Hotel La Palma, Stresa (VA), Italy Since 2001, ICORS has been an annual international conference for researchers and practitioners interested in robust statistics, machine learning, visualization, and related fields. The conference provides a vibrant forum for discussing theoretical developments and practical applications. Given the recent revolution in AI and on large language models, ICORS 2025 encourages contributions on the interplay between robustness issues in these new fields. *Key Deadlines:* - *Abstract Submission**:* 1 December 2024 to *20 February 2025 (extended)* - *Notification of Acceptance:* before *22 February 2025* - *Early Registration Deadline**:* from 15 January 2025 to *28 February 2025* For more information and submission details, please visit: https://datascience.maths.unitn.it/icors2025/index.html We look forward to welcoming you in Stresa! Best regards, The ICORS 2025 Organizing Committee - Claudio Agostinelli (University of Trento) - Francesca Greselin (University of Milano Bicocca) - Domenico Perrotta (Joint Research Center) - Marco Riani (University of Parma)

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[Reminder] Oberwolfach seminar on SPDEs in critical spaces
by Antonio Agresti 11 Feb '25

11 Feb '25

Dear colleagues, This is a reminder for the Oberwolfach seminar *“Stochastic Partial Differential Equations in Critical Spaces”, 8-13 June 2025,* that I am co-organizing with Mark Veraar (TU Delft). The meeting takes place in Oberwolfach, and we will present several lectures on the above topic. - The meeting is only meant for PhD students and postdocs. - The deadline for applications is March 1st, 2025. - The lectures are partly based on our recent survey: https://arxiv.org/abs/2501.18561 - Information on how to apply can be found at https://www.mfo.de/scientific-program/meetings/oberwolfach-seminars - For the program and poster, see https://www.mfo.de/occasion/2524a/www_view Please forward it to people who may be interested in attending. Do not hesitate to write if you have any questions. Best regards, Antonio Agresti and Mark Veraar

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Announcement PhD course@MaLGa - Theoretical Foundations of Machine Learning
by Ernesto De Vito 11 Feb '25

11 Feb '25

We apologize for multiple postings and kindly request students and researchers who might be interested to participate. We are pleased to announce the PhD course "Theoretical Foundations of Machine Learning" ( https://tinyurl.com/2s3jtfnp). The course is organized by MaLGa - Machine Learning Genoa Center, as part of the ELLIS Genoa unit activities, and is taught by Ernesto De Vito, Lorenzo Rosasco, and Silvia Villa. The objective of the course is to introduce the mathematical framework and key foundational results in Machine Learning Theory. In particular, the course will present the statistical learning theory framework with empirical risk minimization and regularization as guiding principles for algorithm design. Linear and nonlinear models will be discussed, including neural networks and kernel methods (reproducing kernel Hilbert spaces). The course will cover optimization aspects, discussing and analyzing stochastic gradient methods and backpropagation. Additionally, it will cover the error analysis of different algorithms, considering both statistical and approximation theory aspects. Further advanced topics will be covered in a half-day workshop by Nicolò Cesa-Bianchi (UniMi) and Andrea Agazzi (UniBe). -------------------------------------------------------------------------------------------------- Format: The course will consist of 28 hours, held from June 23 to June 27, 2025, at the DIBRIS/DIMA@UNIGE building, Via Dodecaneso 35, 16146 Genoa, Italy. Lessons will be in-person only. Participants will receive a certificate of attendance upon completing the course. -------------------------------------------------------------------------------------------------- Applications: Submit your application here: https://forms.gle/FPMz4bcwzfExhud69 Application deadline: March 16, 2025. The maximum number of participants is 120. Selection will be based on CV evaluation. We encourage early applications as spaces are limited. Best regards, The organizers: Marco Rando Hippolyte Labarrière Giulia Casu

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Seminario Jacopo Borga, Martedì 11 Febbraio, Sapienza Università di Roma
by Silvestri, Vittoria 11 Feb '25

11 Feb '25

Segnalo il seguente seminario, che si terrà Martedì prossimo in Sapienza. *Martedì 11 Febbraio, ore 14:00,* Sala di Consiglio, Dipartimento di Matematica, Sapienza Università di Roma *Speaker:* Jacopo Borga (MIT) *Title: *Lattice Yang-Mills theory in the large N limit via sums over surfaces *Abstract:* Lattice Yang-Mills theories are important models in particle physics. They are defined on the d-dimensional lattice Z^d using a group of matrices of dimension N, and Wilson loop expectations are the fundamental observables of these theories. Recently, Cao, Park, and Sheffield showed that Wilson loop expectations can be expressed as sums over certain embedded bipartite maps of any genus. Building on this novel approach, we prove in the so-called strongly coupled regime: - A rigorous formula in terms of embedded bipartite planar maps of Wilson loop expectations in the large N limit, in any dimension d. - An exact computation of Wilson loop expectations in the large N limit, in dimension d=2, for a large family of (simple and non-simple) loops. Previous results to the two aforementioned points were previously established by Chatterjee (2019) and Basu & Ganguly (2016), respectively. Our results extend these previous results, offer simpler proofs and provide a new perspective on these significant quantities. This work is a collaboration with Sky Cao and Jasper Shogren-Knaak. ******************************** Vittoria Silvestri Assistant Professor Department of Mathematics University "La Sapienza" Piazzale Aldo Moro, 5 00185 - Rome ********************************

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