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Seminari PRISMA - lun 6 mag 2024
by Francesco Caravenna 29 Apr '24

29 Apr '24

Seminari on-line del gruppo UMI - PRISMA (http://www.umi-prisma.polito.it/ <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. Da quest'anno le registrazioni dei seminari vengono pubblicate sul canale YouTube dell'UMI: https://youtube.com/playlist?list=PLmySpc-jrtAMq84VH71evyqPc1hl6eEQb <https://youtube.com/playlist?list=PLmySpc-jrtAMq84VH71evyqPc1hl6eEQb> Il prossimo appuntamento è per lunedì 6 maggio 2024. I relatori saranno Domenico Marinucci (Università di Roma Tor Vergata) e Anna Vidotto (Università di Napoli Federico II) che parleranno di La geometria degli insiemi di escursione per campi aleatori Gaussiani e La geometria dei campi aleatori sfera-per-tempo 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://uniroma1.zoom.us/j/82939128330 <https://uniroma1.zoom.us/j/82939128330> Meeting ID: 829 3912 8330 Vi aspettiamo numerosi! Valentina Cammarota e Francesco Caravenna %%%%%%%%%%%%%%%%%%%%%%%%%%%% RELATORI: Domenico Marinucci (Università di Roma Tor Vergata) e Anna Vidotto (Università di Napoli Federico II) TITOLO: La geometria degli insiemi di escursione per campi aleatori Gaussiani. RIASSUNTO: Obiettivo del seminario sarà di presentare una panoramica relativamente informale su alcuni risultati nell'analisi della geometria dei campi aleatori che sono stati ottenuti negli ultimi 10 anni circa. In particolare, si inizierà ricordando i risultati sulle curvature di Lipschitz-Killing di insiemi di escursione per campi Gaussiani (la Gaussian Kinematic Formula di Adler e Taylor); si proseguirà quindi con risultati per la varianza e teoremi del limite centrale nel regime di asintotica ad alta frequenza, discutendo anche le connessioni con altri campi della probabilità (in particolare, le espansioni in caos di Wiener ed il metodo di Stein-Malliavin). Se il tempo lo permetterà, si discuterà altresì la struttura di interdipendenza tra curvature di Lipschitz-Killing e punti critici, con alcuni cenni agli sviluppi più recenti (la geometria dei fibrati aleatori) e alle motivazioni/applicazioni di questi risultati. TITOLO: La geometria dei campi aleatori sfera-per-tempo. RIASSUNTO: Obiettivo del mio seminario sarà introdurre un nuovo regime asintotico per lo studio di campi aleatori definiti sulla sfera unitaria e dipendenti dal tempo. Considereremo statistiche di diversi funzionali geometrici costruite a partire dagli insiemi di livello del campo aleatorio e definite su un arco temporale crescente. Vedremo che le loro proprietà asintotiche, in particolare varianza e distribuzione limite, dipenderanno da un’interazione tra memoria temporale e livello. Infine, discuteremo brevemente le possibili applicazioni di questi modelli e dei risultati enunciati ad uno studio statistico delle proprietà dei campi aleatori di partenza, e conseguenti risvolti pratici nel campo delle scienze del Clima. %%%%%%%%%%%%%%%%%%%%%%%%%%%%

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Network Econometrics Summer School (July, 1-5, 2024, Venice)
by Roberto CASARIN 29 Apr '24

29 Apr '24

Dear Colleagues, The *Italian Econometric Association* (SIdE-IEA, https://www.side-iea.it/) in collaboration with the *Venice Centre in Economic and Risk Analytics for Public Policies* (VERA, https://www.unive.it/vera) at the Department of Economics, organizes the course for PhD students in: Network Econometrics, 1 - 5 July, 2024, Università Ca' Foscari Venezia https://www.side-iea.it/events/courses/network-econometrics-2024 The Summer School aims to provide participants with models and tools from graph theory to analyse various effects of social, economic, and political interaction. The school will host leading scholars developing relevant network modelling and inference research and their applications to various fields. The initiative is sponsored by the *Ca' Foscari International College* (https://www.unive.it/pag/19476/) The school and the participants from the Italian Advanced Schools are financially supported by the Ca’ Foscari International College under the aegis of ASSI (Alliance of the Italian Advanced Schools). *Participation*: Online or in presence *Application Deadline*: May *Coordinator*Roberto Casarin, Ca' Foscari University of Venice *Lecturers* Emanuele Aliverti, University of Padova Angela Andreella, Ca' Foscari University of Venice Monica Billio, Ca' Foscari University of Venice Matteo Iacopini, Queen Mary University of London Mariangela Guidolin, University of Padova Luca Rossini, University of Milan Veronica Vinciotti , University of Trento *Requirements* Intermediate knowledge of statistical inference and econometrics Best Regards Roberto Casarin -- Roberto Casarin, PhD Professor of Econometrics Ca' Foscari University of Venice San Giobbe 873/b - 30121 Venezia, Italy http://sites.google.com/view/robertocasarin/ https://www.unive.it/vera <https://www.unive.it/isba2024> https://www.unive.it/isba2024

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PhD in Economics and Finance: invitation to submit applications
by Cecilia Mancini 26 Apr '24

26 Apr '24

Dear Friends and Colleagues, My department is pleased to announce that the 2024 call for applications for the PhD Program is now open. This year, eight positions with scholarships (about 1,600 euros per month) are available to cover the full length of the program (four years). To apply, please visit https://www.corsi.univr.it/?ent=cs&id=1008&menu=iscriversi&tab=comeiscriver… The Program offers two dedicated tracks: "Economics (ECO)" and "Mathematics and Data Analytics for Finance (MDAF)". We invite applications from outstanding graduates who hold or are expected to hold a master's degree in Economics, Mathematics, Finance or related fields. The deadline for application is May 23, 2024. For further information please visit the official Program webpage, https://www.corsi.univr.it/?ent=cs&id=1008&menu=home&lang=en or contact the program coordinator, Prof. Alessandro Bucciol (alessandro.bucciol(a)univr.it<mailto:alessandro.bucciol@univr.it>). Please feel free to forward this information to anyone interested Best regards, Cecilia

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Next LTI@Unito Seminar: Mihalis Zervos | April 29 @ 12:00 - 13:00
by Luca Regis 26 Apr '24

26 Apr '24

Dear Colleagues, please find below an invitation to the seminar that Mihail Zervos will give at Collegio Carlo Alberto (Torino) on April 29 from 12 to 13. The seminar can be attended via zoom, at the link below. Best, Luca Regis <https://4z5y5.r.sp1-brevo.net/mk/cl/f/sh/SMK1E8tHeFuBlzkcYLDa5hFz9Ao6/oGRQP…> LTI@UniTO and Fondazione Collegio Carlo Alberto are pleased to invite you to the following seminar: *April 29, 2024 | 12:00 - 13:00* *Market Equilibrium under Proportional Transaction Costs in a Stochastic Factor Model* *Mihalis Zervos (LSE)* *Abstract: *We consider an economy with two agents. Each of the two agents receives a random endowment flow. We model this cumulative flow as the stochastic integral of a deterministic function of the economy’s state, which we model by means of a general Ito diffusion. Each of the two agents has mean-variance preferences with different risk-aversion coefficients. The two agents can also trade a risky asset. We determine the agents’ optimal equilibrium trading strategies in the presence of proportional transaction costs. In particular, we derive a new free-boundary problem that provides the solution to the agents’ optimal equilibrium problem. Furthermore, we derive the explicit solution to this free-boundary problem when the problem data is such that the frictionless optimiser is a strictly increasing or a strictly increasing and then strictly decreasing function of the economy’s state. To attend online, join Zoom meeting <https://4z5y5.r.sp1-brevo.net/mk/cl/f/sh/SMK1E8tHeG13E8ZZjVN4BWYj7TOM/gbMTK…> *Fondazione Collegio Carlo Alberto* Piazza Arbarello 8 - 10122 Torino, Italy phone: +3901115630800 segreteria(a)carloalberto.org - www.carloalberto.org <https://4z5y5.r.sp1-brevo.net/mk/mr/sh/SMJz09SDriOHTzBFUp7SyDdkW9eU/dhS3W0U…> <https://4z5y5.r.sp1-brevo.net/mk/cl/f/sh/SMK1E8tHeG7ugHOWufWYHLrT5lyc/u9_E8…> <https://4z5y5.r.sp1-brevo.net/mk/cl/f/sh/SMK1E8tHeGEm8QDU5pg2NBAD44Ys/sUBGz…> <https://4z5y5.r.sp1-brevo.net/mk/cl/f/sh/SMK1E8tHeGLdaZ2RGzpWT0Sx2N98/tPitY…> <https://4z5y5.r.sp1-brevo.net/mk/cl/f/sh/SMK1E8tHeGSV2hrOS9z0Yplh0fjO/rOFgl…> <https://4z5y5.r.sp1-brevo.net/mk/cl/f/sh/SMK1E8tHeGZMUqgLdK8Uef4QyyJe/pqVsx…> <https://4z5y5.r.sp1-brevo.net/mk/cl/f/sh/SMK1E8tHeGgDwzVIoUHykUNAxGtu/s8Hmi…> *Founders* <https://4z5y5.r.sp1-brevo.net/mk/cl/f/sh/SMK1E8tHeGn5P8KFzeRSqJfuvZUA/pHAgg…> <https://4z5y5.r.sp1-brevo.net/mk/cl/f/sh/SMK1E8tHeGtwrH9DAoaww8yets4Q/PbBxm…> *Sostieni il Collegio Carlo Alberto con il 5x1000 | c.f. 94049090015* *INFORMATION UNDER THE NEW GENERAL DATA PROTECTION REGULATION (GDPR)* Your personal information has been gathered for the exclusive purpose of informing you about the Collegio's initiatives, considering our and your legitimate interest or your consent. If you wish to have your personal data modified please contact Fondazione Collegio Carlo Alberto, piazza Arbarello 8, 1022 Torino, Italy - phone:+39011 15630 800 - privacy(a)carloalberto.org <https://4z5y5.r.sp1-brevo.net/mk/cl/f/sh/1t6Af4OiGsDhYHcAaQGL7guJhrHpwo/EZy…> To find out about the policies regarding the processing of personal data pursuant to articles 13-14 of EU Regulation 2016/679, consult the information at the following link *https://www.carloalberto.org/privacy/* <https://4z5y5.r.sp1-brevo.net/mk/cl/f/sh/1t6Af4OiGsE9szoaymMGHwy95gGZes/h8F…> *Unsubscribe* <https://4z5y5.r.sp1-brevo.net/mk/un/sh/SMJz09a0vkbXq4evGZHG70WrlrGc/D3Mk0xH…> *© 2022 Fondazione Collegio Carlo Alberto*

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PhD opening in Probability (Technical University of Vienna)
by Francesco Caravenna 26 Apr '24

26 Apr '24

Ricevo e inoltro. %%%%%%%%%%%%%%%%%%%%% Da: "Prof. Fabio Toninelli" <fabio.toninelli(a)tuwien.ac.at> Oggetto: PhD opening in Probability (Technical University of Vienna) Data: 26 aprile 2024, 09:02:18 CEST Dear colleague, The Technical University of Vienna is advertising a PhD position in probability theory (with focus on discrete probability), within the Probability research group (https://www.tuwien.at/en/mg/proba) <https://www.tuwien.at/en/mg/proba>. Deadline for applications: 23:59 CET on May 16th, 2024. The application should contain: 1. A CV of the candidate 2. A motivation letter. 3. A proof of the last academic degree (diploma). 4. A transcript of the grades of the candidates from their last academic year. 5. One letter of recommendation to be sent to karriere(a)tuwien.ac.at <mailto:karriere@tuwien.ac.at>. For the official announcement, the link to the application portal and details on the position, see here: https://jobs.tuwien.ac.at/Job/231892 <https://jobs.tuwien.ac.at/Job/231892>. Candidates who have not yet obtained their master degree but will do so within the calendar year are encouraged to apply. Please forward this to potentially interested candidates. Best wishes, Fabio Toninelli -- Prof. Dr. Fabio Toninelli Technical University of Vienna Institut für Stochastik und Wirtschaftsmathematik Wiedner Hauptstrasse 8-10, 1040 Wien, Austria Office: 6th floor, green area. tel: +43-1-58801-10570 https://sites.google.com/view/fabio-toninelli/home <https://sites.google.com/view/fabio-toninelli/home>

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Course by Samuel LIVINGSTONE (UCL)
by Matteo Ruggiero 24 Apr '24

24 Apr '24

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: -------------------------------------- Samuel LIVINGSTONE (UCL) MONTE CARLO METHODS FOR STATISTICAL INFERENCE Monte Carlo methods and sampling algorithms have had a profound effect on scientific research for the past 80 years. In the course we will discuss these approaches in the context of statistical inference. We will cover some mathematical preliminaries, the Monte Carlo method, and basic approaches to sample from a probability distribution in low dimensions, before motivating and introducing Markov chain Monte Carlo and the Metropolis—Hastings algorithm for high-dimensional sampling and Monte Carlo (MCMC). Afterwards we will discuss more advanced topics such as studying bias and variance of MCMC ergodic averages via mixing times, and more advanced algorithms such as adaptive and gradient-based methods. -------------------------------------- The course will be held exclusively in person, according to the following schedule: - Tue 7/5, h.14-16 - Wed 8/5, h.16-18 - Thu 9/5, h.16-18 - Tue 14/5, h.14-16 - Wed 15/5, h.16-18 - Thu 16/5, h.16-18 Course location: Room 11, third floor, Corso Unione Sovietica 218/bis, 10134, Torino. The participation is open to all interested. Best regards --- Matteo Ruggiero University of Torino and Collegio Carlo Alberto www.matteoruggiero.it

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Fwd: Postdoc postions
by Marco Romito 24 Apr '24

24 Apr '24

Ricevo e inoltro m. -------- Forwarded Message -------- Subject: Postdoc postions Date: Wed, 24 Apr 2024 09:01:00 +0000 From: Xue-Mei Li <xue-mei.li(a)epfl.ch> Applications are invited for two or more postdoctoral positions in mathematics at EPFL. The successful candidates will be working on topics in Stochastic Analysis. The initial duration of the position is 2 years with a flexible starting date. Screening begins in May. The position offers excellent research conditions, opportunity to interact with a world-leading group in probability and stochastic analysis, and the chance to supervise research projects. It also comes with a competitive salary and a beautiful working environment on the shore of Lake Geneva. Further details can be found at https://www.mathjobs.org/jobs/list/24521

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Summer school "Frontiers of Energy Econometrics"
by Luca Rossini 24 Apr '24

24 Apr '24

Dear colleagues, we are pleased to announce that the second edition of the summer school "Frontiers of Energy Econometrics" (https://toee.lakecomoschool.org/) will be held from 9 to 12 September 2024 at the Como Lake of Advanced Studies, located at the Villa del Grumello in Como. The focus of this edition will be on forecasting and will include lectures, tutorials and group work. *Deadlines*: * Student application: 10 May 2024 * Notification of acceptance: 15 May 2024 * Registration and payment for accepted students: 26 May 2024 Please spread the word among your contacts, especially PhD students and post-docs. The organizers -- -- Prof. Luca Rossini Associate Professor in Statistics, Department of Economics, Management and Quantitative Methods University of Milan (Statale), Italy email:luca.rossini87@gmail.com;luca.rossini@unimi.it skype: luca.rossini14 web:https://rossiniluca.github.io/web/

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PhD on Statistical mechanics on random graphs and algorithms
by Vanessa Jacquier 23 Apr '24

23 Apr '24

Inoltro per conoscenza. Dear colleagues, Please forward this information to any interested student. Thank you in advance! “PhD on Statistical mechanics on random graphs and algorithms” Job description Random spin systems from statistical mechanics have been successfully used to study critical behaviour at the interface of problems from mathematics, physics, biology and computer science. The measure describing the spin system gives the probability of likely configurations. Phase transitions occur when tuning a parameter of the system, in the sense that there are several Gibbs measures compatible with the microscopic interactions. In recent years, there has been enormous activity in order to study phase transitions for spin systems on random graphs by rigorously characterizing the set of Gibbs measures. Applications of such problems range from computational complexity, coding theory, to machine learning. This PhD project investigates statistical mechanics on random graphs and algorithms. The focus is on properties of the q-state Potts model, which is intimately related to random graph q-coloring and community detection problems. The project is a joint project between Prof. Remco van der Hofstad (TU/e), Dr. Noela Müller (TU/e) and Dr. Wioletta Ruszel (UU). Job requirements We are looking for a candidate that brings the following: a Master’s degree in mathematics; excellent English language and communication skills; knowledge of or affinity to physics and/or computer science is not required but considered an advantage; a demonstrable research-oriented experience, interest, or attitude. Conditions of employment A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you: Full-time employment for four years, with an intermediate evaluation (go/no-go) after nine months. You will spend 10% of your employment on teaching tasks. Salary and benefits (such as a pension scheme, paid pregnancy and maternity leave, partially paid parental leave) in accordance with the Collective Labour Agreement for Dutch Universities, scale P (min. € 2.770,- max. € 3.539,-). A year-end bonus of 8.3% and annual vacation pay of 8%. High-quality training programs and other support to grow into a self-aware, autonomous scientific researcher. At TU/e we challenge you to take charge of your own learning process. An excellent technical infrastructure, on-campus children's day care and sports facilities. An allowance for commuting, working from home and internet costs. A Staff Immigration Team and a tax compensation scheme (the 30% facility) for international candidates. Information and application About us Eindhoven University of Technology is an internationally top-ranking university in the Netherlands that combines scientific curiosity with a hands-on attitude. Our spirit of collaboration translates into an open culture and a top-five position in collaborating with advanced industries. Fundamental knowledge enables us to design solutions for the highly complex problems of today and tomorrow. Curious to hear more about what it’s like as a PhD candidate at TU/e? Please view the video. Information Do you recognize yourself in this profile and would you like to know more? Please contact the hiring manager Noela Müller, Assistant professor, n.s.muller(a)tue.nl. Visit our website for more information about the application process or the conditions of employment.You can also contact HR Services M&CS, HRServices.MCS(a)tue.nl. Are you inspired and would like to know more about working at TU/e? Please visit our career page. Application (before 19.5.2024) We invite you to submit a complete application by using the apply button. The application should include: A cover letter in which you describe your motivation, research experience, interests and qualification for the position. A background in probability is required for the position. If you have had exposure to statistical mechanics, please also mention this. A detailed curriculum vitae, including the contact information of two academic references. Copies of relevant BSc and MSc diplomas and transcript of records, including a list of grades. A copy or link to your master thesis if available. In case you are currently writing your master thesis, a short description of the project. More information and link to application can be found here: https://jobs.tue.nl/en/vacancy/phd-on-statistical-mechanics-on-random-graph… Kind regards Noela, Remco and Wioletta --------------------------------------- Vanessa Jacquier Post-doctoral researcher Department of Mathematics University of Utrecht Budapestlaan 6, 3584 CD Utrecht, The Netherlands.

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School and conference in Bielefeld: "Gradient Flows, Large Deviation Theory, and Macroscopic Fluctuation Theory“
by Benjamin Gess 23 Apr '24

23 Apr '24

Dear colleagues, We would like to draw your attention to a School and conference on "Gradient Flows, Large Deviation Theory, and Macroscopic Fluctuation Theory“ which will take place *June 17-21 2024 at Bielefeld University* and is part of the 2024 activity month "Fluctuations in interacting systems: From optimal transport and Fokker–Planck equations to fluid dynamics and SPDEs“ of the collaborative research center 1283 ( https://www.sfb1283.uni-bielefeld.de/workshops/activitymonth/2024) The overarching topic of the conference is the effective description of large systems of interacting particles and their fluctuations around their typical behaviour. This mathematical challenge is of fundamental importance in a variety of applications, ranging from mathematical modelling in the sciences, to the foundations of non-equilibrium statistical mechanics and the dynamics of modern learning algorithms. Addressing these questions involves ideas from various disciplines in mathematics and physics. The workshop will bring together both leading experts and junior researchers from various fields, such as macroscopic fluctuation theory and non-equilibrium statistical mechanics, interacting particle systems, large deviation theory, gradient flows and variational methods for partial differential equations, and stochastic partial differential equations. The program will feature lecture series and talks by leading scientists as well as opportunities for junior scientists to present their work. For more details please see https://www.sfb1283.uni-bielefeld.de/2024_MFT/ With kind regards, Matthias Erbar and Benjamin Gess -- Prof. Dr. Benjamin Gess (www.bgess.de) Universität Bielefeld <https://www.math.uni-bielefeld.de/>, Fakultät für Mathematik Max Planck Institute for Mathematics in the Sciences <http://www.mis.mpg.de/index.html>, Leipzig

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