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5th Spring Colloquium on Probability and Finance - Padova - 19 April 2024
by Claudio Fontana 06 Mar '25

06 Mar '25

Dear all, We are glad to announce the 5TH SPRING COLLOQUIUM ON PROBABILITY AND FINANCE, held at the Department of Mathematics "Tullio Levi-Civita" of the University of Padova, on APRIL 19TH, 2024. The Colloquium will bring together researchers in stochastic analysis and mathematical finance. The workshop will start at 10am and end at 5pm. Attendance is free but registration is required (on the conference website). Please note that, due to the small capacity of the conference room, we will be able to host only a limited number of attendees. WEBSITE: https://events.math.unipd.it/SpringColloquium5 INVITED SPEAKERS: - Eduardo ABI JABER (École Polytechnique, FR) - Huy Ngoc CHAU (University of Manchester, UK) - Giulia DI NUNNO (University of Oslo, NR) - Roxana DUMITRESCU (King's College London, UK) - David SKOVMAND (University of Copenhagen, DK) - Luca TASCHINI (University of Edinburgh, UK) We hope to see you in Padova! Best wishes, Giorgia Callegaro and Claudio Fontana

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R: Seminario Padova - Marc Hoffman - zoom
by alekos.cecchin＠unipd.it 06 Mar '25

06 Mar '25

Buongiorno, Segnaliamo che il seminario di Marc Hoffman di domani (di seguito titolo e abstract) si potrà seguire anche su zoom. Di seguito il link Alekos Cecchin ti sta invitando a una riunione pianificata in Zoom. Argomento: Zoom meeting invitation - Riunione Zoom di Alekos Cecchin Ora: 7 mar 2025 02:30 PM Amsterdam, Berlino, Roma, Stoccolma, Vienna Entra nella riunione in Zoom https://unipd.zoom.us/j/85199623921?pwd=tEaW5MtO9cYnFp6cA4ZnHC6pgbZiCd.1 ID riunione: 851 9962 3921 Codice d’accesso: 292730 --- Un tocco su dispositivo mobile +17193594580,,85199623921# Stati Uniti +12532050468,,85199623921# Stati Uniti --- Componi in base alla tua posizione • +1 719 359 4580 Stati Uniti • +1 253 205 0468 Stati Uniti • +1 253 215 8782 Stati Uniti (Tacoma) • +1 301 715 8592 Stati Uniti (Washington DC) • +1 305 224 1968 Stati Uniti • +1 309 205 3325 Stati Uniti • +1 312 626 6799 Stati Uniti (Chicago) • +1 346 248 7799 Stati Uniti (Houston) • +1 360 209 5623 Stati Uniti • +1 386 347 5053 Stati Uniti • +1 408 638 0968 Stati Uniti (San Jose) • +1 507 473 4847 Stati Uniti • +1 564 217 2000 Stati Uniti • +1 646 876 9923 Stati Uniti (New York) • +1 646 931 3860 Stati Uniti • +1 669 444 9171 Stati Uniti • +1 669 900 6833 Stati Uniti (San Jose) • +1 689 278 1000 Stati Uniti ID riunione: 851 9962 3921 Trova il tuo numero locale: https://unipd.zoom.us/u/km68cLJ8a --- Partecipa tramite SIP • 85199623921(a)zoomcrc.com --- Entra tramite H.323 • 144.195.19.161 (Stati Uniti Occidentali) • 206.247.11.121 (Stati Uniti Orientali) • 115.114.131.7 (Mumbai - India) • 115.114.115.7 (Hyderabad - India) • 159.124.15.191 (Amsterdam Paesi Bassi) • 159.124.47.249 (Germania) • 159.124.104.213 (Australia Sydney) • 159.124.74.212 (Australia Melbourne) • 170.114.180.219 (Singapore) • 64.211.144.160 (Brasile) • 159.124.132.243 (Messico) • 159.124.168.213 (Canada Toronto) • 159.124.196.25 (Canada Vancouver) • 170.114.194.163 (Giappone Tokyo) • 147.124.100.25 (Giappone Osaka) ID riunione: 851 9962 3921 Codice d’accesso: 292730 Da: alekos.cecchin(a)unipd.it <alekos.cecchin(a)unipd.it> Inviato: sabato 1 marzo 2025 20:31 A: random(a)mail.dm.unipi.it Cc: 'MARC HOFFMANN' <hoffmann(a)ceremade.dauphine.fr> Oggetto: Seminario Padova - Marc Hoffman Buongiorno a tutti, Vorremmo segnalarvi che venerdì prossimo (7 Marzo) in aula 2BC30 (Torre Archimede, Università di Padova) ci sarà un seminario per il ciclo di seminari in Probabilità e Finanza di: Marc Hoffman (Université Paris-Dauphine) <https://www.ceremade.dauphine.fr/~hoffmann/> https://www.ceremade.dauphine.fr/~hoffmann/ Title: Some questions in mathematical statistics linked to evolution PDEs Date: March 7, 2025, at 14:30, room 2BC30 Abstract: Evolution models in applications are often analysed via PDEs, interpreted as a macroscopic decription of the phenomenon of interest. This classical approach is nevertheless challenged by empirical data for model validation, especially when the phenomenon of interest does not depend on well established physical laws. In particular the statistical inference of parameters (estimation and testing) requires a underlying stochastic model. This is usullay treated via some addition of noise, sometimes artificially and always a bit arbitrarily. Relying on some specific examples that appear in population biology (cell growth, human demography) or agent-based models in economy, we propose an alternative approach. Starting from a microscopic stochastic model that can be partially observed and for which the PDE of interest is a mean-field limit, the intrinsic statistical noise becomes the fluctuation between the empirical measure of the particle system and the solution of the PDE. We will outline a rigorous statistical program in this setting and will give some results on McKean-Vlasov models that shall emphasise the interest of our approach. Vi aspettiamo numerosi! Alberto Chiarini e Alekos Cecchin Sito web del seminario: https://www.math.unipd.it/~chiarini/seminars/

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Call for interest: postdoc position at USI, Lugano, Switzerland
by Mira Antonietta 06 Mar '25

06 Mar '25

Antonietta Mira invites expression of interest for a Research Associate (not tenure track) / Postdoc position in Statistics / Data Science (ideally 100%, maximum duration 1.5 years) at Università della Svizzera italiana (USI), Lugano, Switzerland. The Position. The candidate will work with Prof. Mira (http://usi.to/exz) in a dynamic research team and in a multidisciplinary and international scientific environment. Information about ongoing projects is available upon request. The candidate is expected to present papers at scientific conferences and produce publications in high-ranking journals. Candidates’ profile Ideal candidates should satisfy the following requirements: • PhD in Statistics, Computer Science, or similar • Programming knowledge in Python and/or R • Fluent in English Contract terms. Workplace is USI Università della Svizzera italiana, located in Lugano, Switzerland. Starting date is as soon as possible, applications received before end of February 2025 will be given priority. However, the position will be kept open until a suitable candidate has been found. Long distance cooperation for part of the time can be discussed, as well as part time positions. The salary levels correspond to those set by the Swiss National Science Foundation for postdoctoral researchers (80.000 CHF per year, full time). The Application. Please send your expression of interest or requests for further information to Antonietta Mira (antonietta.mira(a)usi.ch). The Application procedure is quite easy. We will request (1) a letter in which the applicants describe their research interests, (2) a complete CV, (3) full transcript of records (does not need to be an official transcript), (4) a complete list of publications (5) contact information of 2 or 3 scientific references. The University. USI is a young and lively university, a hub of opportunity open to the world where students are offered a quality interdisciplinary education in which they can be fully engaged and take center stage, and where our researchers can count on having the space to freely pursue their initiative. Established in 1996, USI is in constant evolution, always taking on new challenges while remaining true to its three guiding principles: quality, openness and responsibility. USI strives to be an equal opportunity and family friendly employer and is further responsive to the needs of dual career couples. We guarantee that the selection process will give equal opportunities to female and male researchers. As an institution that values diversity, USI particularly encourages applications from women and from all individuals from underrepresented groups.

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Concorso da lecturer o professore associato in financial computing a UCL
by Germano, Guido 06 Mar '25

06 Mar '25

https://www.ucl.ac.uk/work-at-ucl/search-ucl-jobs/details?nPostingId=13253&… Lecturer/ Associate Professor in Financial Computing (Grade 8/9) Ref Number B04-05906 Professional Expertise Academic DepartmentUCL BEAMS (B04) Location London Working Pattern Full time Salary £66,711–£72,370 Contract Type Permanent Working Type On site Available for Secondment No Closing Date 28-Mar-2025 About us UCL’s Department of Computer Science (CS) is a top-ranked Computer Science Department in the UK. In the 2021 Research Excellence Framework (REF) evaluation, UCL Computer Science was ranked second in the UK for research power and first in England. The Financial Computing & Analytics Group is a leading research hub at the intersection of finance, data science, and technology. The group specialises in quantitative finance, machine learning, blockchain, and complex economic systems modelling, with strong ties to academia, industry, and policymakers. It also leads the UCL Centre for Blockchain Technologies and plays a key role in interdisciplinary collaborations across UCL and beyond. About the role The post holders will teach at undergraduate and graduate levels in areas allocated by the Head of Department or Director of Studies and carry out research and produce publications and other research outputs, in line with personal objectives agreed in the staff review process. They will also supervise or assist with supervision of undergraduate, taught graduate (Masters) or research graduate (MPhil/MRes/PhD/EngD) students. They will contribute to the development, planning and implementation of a high-quality curriculum, and to the development of learning materials. Additionally, they will be expected to secure research funding and actively engage in departmental, faculty and UCL-wide initiatives, working groups or committees. The post is advertised at Grade 8/9 with salary: Grade 8 (£52,487-£61,534), Grade 9 (£66,711- £72,370) inclusive of London Allowance per annum. Appointment at Grade 9 is dependent on evidence of a strong and sustained academic and research record. About you The successful candidate must hold a PhD in a relevant field (e.g., Computer Science, Physics, Mathematics, Economics) and demonstrate expertise in financial computing, quantitative finance, machine learning, complex systems modelling, or blockchain technologies. They should have a strong research track record, evidenced by high-quality publications and research outputs, as well as the ability to secure external research funding. The role requires excellent teaching skills, with experience in curriculum development, student supervision, and course delivery at undergraduate and postgraduate levels. Strong interpersonal, oral, and written communication skills are essential, along with the ability to work collaboratively in an interdisciplinary environment. A commitment to academic research, high-quality teaching, and fostering an inclusive learning environment is key. What we offer As well as the exciting opportunities this role presents, we also offer some great benefits some of which are below: • 41 Days holiday (27 days annual leave 8bank holiday and 6 closure days) • Additional 5 days’ annual leave purchase scheme • Defined benefit career average revalued earnings pension scheme (CARE) • Cycle to work scheme and season ticket loan • Immigration loan • Relocation scheme for certain posts • On-Site nursery • On-site gym • Enhanced maternity, paternity and adoption pay • Employee assistance programme: Staff Support Service • Discounted medical insurance Visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefitsto find out more. A job description and person specification can be accessed at the bottom of this page. To apply for the vacancy please click on the ‘Apply Now’ button below. If you have any queries regarding the vacancy or the application process, please contact Aste, Tomaso t.aste(a)ucl.ac.uk <mailto:t.aste@ucl.ac.uk> Our commitment to Equality, Diversity and Inclusion As London’s Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world’s talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong. We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL’s workforce. These include people from Black, Asian and ethnic minority backgrounds; disabled people; LGBTQI+ people; and for our Grade 9 and 10 roles, women. Our department holds an Athena SWAN Bronze award, in recognition of our commitment to advancing gender equality. Available documents

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Fwd: International Seminar on SDEs and Related Topics: Laurent Denis - March14
by Gianmario Tessitore - UNIMIB 06 Mar '25

06 Mar '25

Diffondo con piacere Mario ============================================================================ Dear Colleague, *on Friday, March 14,* (12:30 noon London, 1:30 pm Berlin, 2:30 pm Helsinki, 8:30 pm Beijing) in the *International Seminar on SDEs and Related Topics* in Zoom https://jyufi.zoom.us/j/61891007917 *Laurent Denis* (Université du Maine, France) will speak about */BSDE with singular terminal condition: the continuity up to terminal time problem/ * Abstract: We study the limit behavior of the solution of a backward stochastic differential equation when the terminal condition is singular, that is it can be equal to infinity with a positive probability. In the Markovian setting and in the case where the equation is driven by a Brownian motion, Malliavin's calculus enables us to prove continuity if a balance condition between the growth w.r.t. /y/ and the growth w.r.t. /z/ of the generator is satisfied. We apply our result to liquidity problem in finance and to the solution of some semi-linear partial differential equation ; the imposed assumption is also new in the literature on PDE. Finally, we prove that if there are jumps (i.e. the operator of the PDE is non local), we observe a propagation of the singularity, contrary to the continuous case (local operator). This talk is based on several joint works with D. Cacitti-Holland and A. Popier. References: Cacitti-Holland D., Denis L., Popier A. Continuity problem for BSDE and IPDE with singular terminal condition,/Journal of Mathematical Analysis and Applications/, Vol. 543, issue 1 (2025). Cacitti-Holland D., Denis L., Popier A. Growth condition on the generator of BSDE with singular terminal value ensuring continuity up to terminal time, to appear in /Stochastic Processes and their Applications/ (2025). ABOUT THE SPEAKER: Laurent Denis is professor at the mathematical laboratory, LMM, of "Le Mans Université" in France, since 2013. Formerly, he was professor at "Université d’Evry » from 2005 to 2013.He received a PhD in Mathematics from University Paris VI in 1994 under the supervision of F. Hirsch and his habilitation from Le Mans University in 2012. From 2012 to 2023 he was also teaching at Ecole Polytechnique. His research interests are centered around uncertain models in finance, non-linear expectation, Stochastic Partial Differential Equations, Malliavin calculus for jump processes, Dirichlet forms and more recently Backward Stochastic Differential equations.. Besides numerous publications, he is the co-author with N. Bouleau of the monograph "Dirichlet Forms Methods for Poisson Point Measures and Lévy Processes » published in 2017. Welcome in the name of all the organizers Hannah Geiss For the dates and the list of the upcoming speakers go to http://users.jyu.fi/~chgeiss/seminar-on-sdes.html -- Gianmario Tessitore Dipartimento di Matematica e Applicazioni Università degli Studi di Milano-Bicocca

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call for the PhD program in Economics, Analytics and Decision Sciences
by Irene Crimaldi 05 Mar '25

05 Mar '25

Dear all, The call for applications to the IMT PhD program in *Economics, Analytics and Decision Sciences *(EADS) is out. We have at least *7 fully funded positions for up to 4 years*. *Please, share the call and prompt potentially interested students to apply. * Here you can find the *EADS* *website*: https://eads.imtlucca.it/ Here you can find the *information on the application procedure*: https://eads.imtlucca.it/how-to-apply_1 Best regards, Irene Crimaldi

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Reminder to register for SPDEvent 2025
by Umberto PAPPALETTERA 05 Mar '25

05 Mar '25

Dear colleagues, This is a friendly reminder that the deadline for registrations to the SPDEvent 2025 is approaching. If you wish to participate and you haven't already registered and/or applied for funding, please do it now to secure your participation. We look forward to seeing you in Bielefeld! The organizers, Florian Bechtold Stefanie Berkemeier Theresa Lange Eliseo Luongo Umberto Pappalettera

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OWPS is back next week!
by Luisa Andreis 05 Mar '25

05 Mar '25

Dear colleagues, We are delighted to announce that the One World Probability Seminar is returning for the Spring 2025 semester with a refreshed schedule! The seminar will be held every other Wednesday at 14:00 UTC. The season will kick off on Wednesday, March 12 at 14:00 UTC via Zoom (link<https://polimi-it.zoom.us/j/92945513591?pwd=zjtRwpHoO9kRyQuPPj4o186jXrvg1v.1>). We are thrilled to welcome our first two speakers: Shankar Bhamidi (University of North Carolina) and David J. Aldous (UC Berkeley) Please find titles and abstracts of their talks below and on our website<https://www.owprobability.org/about>, which also contains future speakers for the semester. Originally launched during the early days of the pandemic to keep the probability community connected, our seminar has since hosted over 100 research talks from around the globe. It remains open to anyone eager to learn about the latest developments in probability theory. We encourage you to share this announcement as we embark on this new chapter. If you want updates on future OWP seminars, consider joining our mailing list: here<https://www.owprobability.org/mailing-list> the instructions. We look forward to seeing many of you online! Best wishes, Luisa Andreis and Roger Van Peski Aldous’s fringe convergence of random trees and its applications Shankar Bhamidi (UNC Chapel Hill) Local weak convergence starting with the work of Aldous and Benjamini and Schramm has turned out to be one of the standard work horses in modern probabilistic combinatorics, to understand asymptotics of large discrete random structures and dynamics of processes such as random walks on such processes. The goal of this talk is to describe the impact of one of the less well known “OG” (original great) papers in this area: Aldous’s work on fringe convergence of random trees developed in a paper in the mid 90s. This technique, coupled with stochastic approximation techniques allows one to relatively easily prove local weak convergence of a number of modern random tree models proposed by domain scientists, including network evolution with limited choice, network dynamics where new individuals have access to only a partial temporal snapshot of the network and network evolution models where individuals have different attributes. Obscure results and open problems: some of my favorites David J. Aldous (UC Berkeley) These are some problems that I would like some smart young person to work on! (1) What probability distributions on $[0,\infty)$ arise as the distance between two i.i.d. points in some complete separable metric space? (2) Probability distributions on routed planar networks. (3) Combinatorics of fringe trees in a phylogenetic model. (4) Nearest neighbor of nearest neighbor, on the complete network -- Are you smarter than an AI? (5) Find a qualitatively realistic model for a generic subway network. (6) Percolation of empires.

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Seminar Luciano CAMPI
by Antonello Pesce 05 Mar '25

05 Mar '25

Dear all, On March 19th, at the Department of Mathematics of the University of Bologna and online at this LINK <https://teams.microsoft.com/l/meetup-join/19:meeting_ZTI3YTRhYmEtZDhmYi00ZW…>, the following seminar will take place: 11:00-12:00: Luciano CAMPI “CONTINUOUS-TIME PERSUASION BY FILTERING ” as part of the cycle Stochastics and Applications. The abstract is available at https://seminari.dm.unibo.it/mat/seminars/2025/03/19/luciano-campi <https://seminari.dm.unibo.it/mat/seminars/2025/03/19/luciano-campi> For any question, please contact the organizers: Elena Bandini (elena.bandini7(a)unibo.it <mailto:elena.bandini7@unibo.it>), Antonello Pesce (antonello.pesce2(a)unibo.it <mailto:antonello.pesce2@unibo.it>)

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ABS25 (Applied Bayesian Statistics) summer school in Genova, Italy, 3-6/6/2025
by Elisa Varini 05 Mar '25

05 Mar '25

We are pleased to inform you that registration and fee payment are now possible for the next Applied Bayesian Statistics summer school - ABS25 to be held from 3 to 6 June 2025 in the beautiful historic city of Genova, overlooking the Ligurian Sea in Italy. Website: https://abs25.imati.cnr.it/ <https://abs25.imati.cnr.it/> The school is organized by CNR IMATI (Institute of Applied Mathematics and Information Technologies at the Italian National Research Council in Milano), in cooperation with the Department of Mathematics of the University of Genova. The topic will be SPATIO-TEMPORAL METHODS IN ENVIRONMENTAL EPIDEMIOLOGY The lecturer will be Prof. ALEXANDRA SCHMIDT (McGill University, Department of Epidemiology, Biostatistics and Occupational Health, Canada), with the support of Dr. CARLO ZACCARDI (University G. d'Annunzio Chieti-Pescara, Department of Economics, Italy). As in the past (since 2004), there will be a combination of theoretical and practical sessions, along with presentations by participants about their work (past, current and future) related to the topic of the school. OUTLINE: This course aims to explore the interface between environmental epidemiology (EE) and spatio-temporal modelling (ST). The aim of EE is to understand the adverse health effects of environmental hazards and to estimate the risks associated with those hazards. Such risks have traditionally been assessed either over time at a fixed point in space or over space at a fixed point in time. ST modelling characterizes the distribution of those hazards and associated risks over both geographical locations and time. Understanding variation and exploiting dependencies over both space and time greatly increases the power to assess those relationships. The course will cover a wide range of topics from an introduction to spatio-temporal and epidemiological principles along with the foundations of ST modeling, with specific focus on their application, to new directions for research. Topics to be covered: - Types of epidemiological studies: cohort, case–control, ecological - Measures of risk: relative risks, odds ratios, absolute risk, sources of bias, assessing uncertainty - Bayesian statistics and computational techniques: Markov Chain Monte Carlo (MCMC) - Regression models in epidemiology: Logistic and Poisson generalized linear models, hierarchical models - Dynamic linear models, temporal autocorrelation - Spatial models: area and point referenced methods, mapping, geostatistical methods, spatial regression - Spatial-temporal models: separable models, non-separable models, modelling exposures in space and time. Reference: Shaddick, G., Zidek, J.V., & Schmidt, A.M. (2023). Spatio–Temporal Methods in Environmental Epidemiology with R (2nd ed.). Chapman and Hall/CRC. https://doi.org/10.1201/9781003352655 <https://doi.org/10.1201/9781003352655> We hope you will be interested in the school, and we would like to meet you in Genova. We invite you also to share the information with people potentially interested. Best regards Elisa Varini and Fabrizio Ruggeri Executive Director and Director of ABS25

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