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Summers school and conference "Processes and heat kernel with symmetries"
by Alessandra Occelli 20 Dec '22

20 Dec '22

Cari colleghi, Vi annunciamo che, nell'ambito del semestre tematico organizzato dal Centre Henri Lebesgue, una Summer School and conference dal titolo "Processes and heat kernels with symmetries" avrà luogo presso il centro congressi Bon Pasteur di Angers dal 26 al 30 giugno 2023. Il comitato scientifico è composto da Jean-Philippe Anker (Università di Orléans), Gilles Carron (Università di Nantes) e Margit Rösler (Universität Paderborn). Il comitato organizzatore è composto da Piotr Graczyk (Università di Angers), Alessandra Occelli (Università di Angers) e Patrice Sawyer (Laurentian University, Sudbury, Canada). Il programma scientifico comprende 4 mini-corsi (4 x 50 min), 8 talk (50 min) e una poster session. Si prega di consultare la pagina web https://www.lebesgue.fr/en/heat per maggiori dettagli. Il costo dell'alloggio completo (pasti inclusi) presso il residence Bon Pasteur è di 545 euro. Il comitato organizzatore potrebbe essere in grado di aiutare alcuni giovani ricercatori a coprire i costi di alloggio. Se siete interessati a partecipare alla conferenza, si prega di contattare Patrice Sawyer (psawyer(a)laurentian.ca) entro il 31 gennaio 2023. A nome del comitato organizzatore, Alessandra Occelli %%%%%%%%%%%%%%%%%%%%%%%%%%%%% Dear colleagues, We inform you that, as part of the thematic semester organized by the Center Henri Lebesgue, a Summer School and conference entitled "Processes and heat kernels with symmetries" will take place at the Bon Pasteur congress center in Angers from the 26th to the 30th of June 2023. The scientific committee is composed of Jean-Philippe Anker (University of Orléans), Gilles Carron (University of Nantes) and Margit Rösler (Universität Paderborn). The organizing committee is composed of Piotr Graczyk (University of Angers), Alessandra Occelli (University of Angers) and Patrice Sawyer (Laurentian University, Sudbury, Canada). The scientific program includes 4 mini-courses (4 x 50 min), 8 talks (50 min) and a poster session. Please consult the web page https://www.lebesgue.fr/en/heat for more details. The cost of full accommodation (meals included) at Bon Pasteur is 545 euros. The organizing committee may be able to help some young researchers with the accommodation costs. If you are interested in attending the conference, please contact Patrice Sawyer (psawyer(a)laurentian.ca) by January 31, 2023. On behalf of the organizing committee, Alessandra Occelli

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Postdoc positions
by Franco Flandoli 20 Dec '22

20 Dec '22

Dear colleagues, I am currently advertising a two-year Postdoc position under the ERC advanced grant NoisyFluid, at Scuola Normale Superiore, in Pisa. Deadline for application: January 18th 2023. The call is published at the link: https://amministrazionetrasparente.sns.it/bando/analisi-delle-grandi-scale-… Informations abount the local research group on stochastic fluids and the ERC project can be found at the page https://sites.google.com/sns.it/franco-flandoli/home-page Please contact me for any additional information concerning the project and the call, and please transfer the announcement to other potential candidates. Thanks a lot! Best wishes, Franco Flandoli

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Save the date(s): mini-course Boris Hanin in Rome
by Michele Salvi 20 Dec '22

20 Dec '22

Dear all, In order to start the year in the best possible way, RoMaDS ( https://www.mat.uniroma2.it/~rds/events.php ) will host Boris Hanin (Princeton University) at Tor Vergata from the 10th to the 13th of January 2023. Boris will give a 6 hours mini-course about Neural networks and Gaussian processes. The course will be addressed also to non-experts of the field, it will be divided in 3 slots of 2 hours each and the tentative program is as follows: Lecture 1. (Tue 10th, 14h00) Introduction to neural networks. Statement of Gaussian Process (GP) limit. Proof of GP limit. Lecture 2. (Wed 11th, 14h00) Tuning to criticality and analysis at large depth. Lecture 3. (Fri 12th, 10h00) Optimization in the GP limit using the Neural Tangent Kernel. Open problems. All the lectures will be held in Aula Dal Passo, Department of Mathematics - Tor Vergata university, and we do encourage in-person participation. Should you be unable to come, here is the link to the event on Teams: https://teams.microsoft.com/l/meetup-join/19%3arfsL73KX-fw86y1YnXq2nk5VnZFw… Best, Michele

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votazioni per il consiglio scientifico del CIME
by Marco Romito 18 Dec '22

18 Dec '22

Buonasera vi segnalo che dalle ore 9:00 di domani lunedì 19 dicembre alle ore 13:00 di Mercoledì 21 dicembre avranno luogo le elezioni per il rinnovo di cinque membri del Consiglio Scientifico della Fondazione CIME (https://sites.google.com/unifi.it/cime/). Segnalo anche che tra le candidature disponibili è presente quella del probabilista Francesco Morandin, dell'Università di Parma. Trovate la sua e le altre candidature all'indirizzo https://sites.google.com/unifi.it/cime/elezioni-2022/candidature-2022. saluti m.

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2 assistant professorships (RTD-A) mathematical physics Bologna
by giacomo.depalma＠sns.it 17 Dec '22

17 Dec '22

Dear all, The Department of Mathematics of the University of Bologna has opened two 3-year RTD-A (Assistant Professor) positions in Mathematical Physics. Within the next three years the Mathematical Physics group plans to open two tenured positions. The application procedure can be found at https://bandi.unibo.it/s/apos5/rif-7960-bando-66-posti-rtd-a-pnrr-1 English version of the call: https://bandi.unibo.it/s/apos5/rif-7960-bando-66-posti-rtd-a-pnrr-1/call-for -application/rif-7960-call-66-positions-rtd-a-pnrr-4.pdf/@@download/file/Rif .%207960%20-%20CALL%2066%20POSITIONS%20RTD%20A)%20PNRR%204.pdf The application deadline is sharp at 12:00 of 30-12-2022. We are looking for top early-career researchers in the fields of Statistical Mechanics, Quantum Information Theory or Quantum Computing. These include but are not limited to areas of complex and disordered systems, spin glasses, classical and quantum neural networks and statistical inference, both from a theoretical perspective and by looking at applications, especially to machine learning and complex networks. The two successful candidates are expected to be appointed by February 1, 2023. The teaching load is 60 hours per year. The University of Bologna is the oldest University in continuous operation in the world and renowned to be one of the best in Italy. The city of Bologna offers a broad number of cultural activities and a high quality of life. The Mathematical Physics Group is active in Statistical Mechanics and Applications (https://math.unibo.it/en/research/research-groups/statistical-mechanics-and -applications), Quantum Information Theory (https://math.unibo.it/en/research/research-groups/quantum-information-theor y), Data Science and Artificial Intelligence (https://math.unibo.it/en/research/research-groups/data-science-and-ai) and many other areas. The Department has a wide spectrum of research interests in all the fields of mathematics: https://math.unibo.it/en/research/research-areas and has close collaborations with the Departments of Physics, Computer Science, Engineering, Economics etc. Please feel free to forward this email to potential candidates. For further information you can contact me or Prof. Pierluigi Contucci (pierluigi.contucci(a)unibo.it <mailto:pierluigi.contucci@unibo.it> ) or Prof. Daniele Tantari (daniele.tantari(a)unibo.it <mailto:daniele.tantari@unibo.it> ). Best wishes, Giacomo

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Padova Seminars in Probability and Finance - Simone Floreani (University of Oxford)
by Alberto Chiarini 16 Dec '22

16 Dec '22

Dear Colleagues, We would like to invite you to the "Padova Seminars in Probability and Finance seminar" that will take place on December 21st at 11.00 in Padova in room 2AB45 at the department of Mathematics “Tullio Levi-Civita". The seminar will be held in person and online via the Zoom platform. _____________________________________________________ Speaker: Simone Floreani (University of Oxford) Title: Hydrodynamics for the partial exclusion process in random environment via stochastic duality Date and time: Wednesday, DECEMBER 21st at 11.00 Place: room 2AB45 at the Department of Mathematics, University of Padova Zoom link: https://unipd.zoom.us/j/88295505400 available also on the webpage https://www.math.unipd.it/~bianchi/seminari/ Abstract: In this talk, I present a partial exclusion process in random environment, a system of random walks where the random environment is obtained by assigning a maximal occupancy to each site of the Euclidean lattice. This maximal occupancy is allowed to randomly vary among sites, and partial exclusion occurs. After recalling some results on the Bouchaud's trap model, I will show that, when assuming that the maximal occupancies are heavy tailed and i.i.d., the hydrodynamic limit of the particle system is the fractional-kinetics equation. The strategy of the proof is based on stochastic duality, a useful tool in probability theory which allows to study a Markov process (the one that interests you) via another one, called dual process, which is hopefully simpler. In the final part of the talk, I will focus on how some duality relations can be obtained in a more general framework. With best regards, Alberto Chiarini Department of Mathematics Tullio Levi-Civita Via Trieste 63 35121 Padova Italy Alberto Chiarini

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Postdoc in Financial Mathematics at Dublin City University
by Paolo Guasoni 16 Dec '22

16 Dec '22

Dear Colleague, Dublin City University has a Postdoctoral position (Two-year) in Financial Mathematics https://www.dcu.ie/sites/default/files/inline-files/RF1781%20Postdoctoral%2… The closing date for the application is January 22nd, 2022. With best wishes of Merry Christmas and Happy New Year, Paolo Guasoni -- <https://www.facebook.com/DCU/> <https://twitter.com/DCU> <https://www.linkedin.com/company/dublin-city-university> <https://www.instagram.com/dublincityuniversity/?hl=en> <https://www.youtube.com/user/DublinCityUniversity>

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SPASS seminar: Andrea Papini - TUE 20.12 at 14:00
by Andrea Agazzi 16 Dec '22

16 Dec '22

Dear Colleagues, We would like to invite you to the following SPASS <https://sites.google.com/unipi.it/spass> seminar, jointly organized by UniPi, SNS, UniFi and UniSi: *Turbulence Enhancement in Kinetic Coagulation Equations* by Andrea Papini (Scuola Normale Superiore di Pisa) The seminar will take place in person on *TUE, 20.12.2022 at 14:00 CET* in Aula Seminari, Department of Mathematics, University of Pisa and streamed online here <https://meet.google.com/gji-phwo-vbg>. The organizers, A. Agazzi, G. Bet, A. Caraceni, F. Grotto, G. Zanco https://sites.google.com/unipi.it/spass -------------------------------------------- *Title: Turbulence Enhancement in Kinetic Coagulation Equations* *Abstract: A Smoluchowski type model of coagulation in a turbulent fluid is given, heuristically expressed by means of a stochastic model of a system of second-order (microscopic) coagulating particles, then in a suitable scaling limit as a deterministic model with enhanced diffusion in the velocity component. Existence, uniqueness and regularity is proven under different initial conditions in suitable weighted spaces for the spatially-homogeneous PDE. A precise link between mean intensity of the turbulent velocity field and coagulation enhancement is obtained by numerical simulations.* *Based on joint works with Franco Flandoli and Ruojun Huang.*

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Seminar by Salvatore Scognamiglio in Milano (21.12.22)
by Valeria Bignozzi 15 Dec '22

15 Dec '22

Dear all, you're invited to the seminar that will take place, in hybrid mode, at the Department of Statistics and Quantitative Methods, University of Milano-Bicocca. More details: 21st of December 2022, h 16:30, Aula seminari 4026, Building U7, 4th floor Department of Statistics and Quantitative Methods, University of Milano-Bicocca Webex Link: https://unimib.webex.com/unimib/j.php?MTID=mcd5a40a675fd6136e8c3be8a8ead4143 Join by meeting number Meeting number (access code): 2742 148 3807 Meeting password: x3765HJJdRf (93765455 from phones) Speaker: Salvatore Scognamiglio Title: ''Deep learning models for longevity risk'' Abstract: In recent decades, the mortality rates of most developed countries have been gradually declining due to improvements in public health, medical advances, lifestyle changes and government regulation. Although longevity improvement is an obvious benefit for society, it could also represent a risk for governments and insurance companies. Indeed, they could get in financial trouble if they do not adequately consider these longevity improvements for retirement planning and life insurance product pricing. The risk that future mortality and life expectancy outcomes turn out differently than expected is typically called longevity risk, and its management requires stochastic mortality projection models. We introduce a neural network (NN) to fit the Lee-Carter models and some of its extensions on multiple populations. The NN architecture is specifically designed to calibrate each individual model using all available information instead of using a population-specific subset of data as in the traditional estimation schemes. An extensive set of numerical experiments performed on all the countries of the Human Mortality Database shows the effectiveness of our approach. In particular, the resulting parameter estimates appear smooth and less sensitive to the random fluctuations often present in the mortality rates’ data, especially for low-population countries. In addition, the forecasting performance results significantly improved as well. Best regards, Valeria ********************************************** Valeria Bignozzi Professore associato di Metodi Matematici dell’Economia e delle Scienze Attuariali e Finanziarie Dipartimento di Statistica e Metodi Quantitativi (DiSMeQ), Università degli Studi di Milano-Bicocca, Edificio U7

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Annuncio Seminario Sapienza - Giacomo Greco
by Lorenzo Taggi 14 Dec '22

14 Dec '22

Martedì 20 Dicembre, ore 14:00, Sapienza Università di Roma, Dipartimento di Matematica, Sala di Consiglio *Speaker: *Giacomo Greco (Eindhoven University of Technology TU/e) *Titolo:* Travelling through turnpikes in the Kinetic Schrödinger Problem *Abstract:* The Schrödinger problem consists in finding the most likely evolution of a system of i.i.d. particles, conditionally on their initial and final configurations. In the last decade this problem has become more and more popular, thanks to its connections with stochastic optimal control theory and optimal transport. In this talk we are going to introduce a Schrödinger problem where the particles follow an (underdamped) Langevin dynamics (i.e. their density satisfies the kinetic Fokker-Planck equation) and where we are given only a partial observation of the initial and final configurations. Then, we will investigate the long-time behaviour of this kinetic system, proving that its most likely evolution is exactly the one that spends most of the time exponentially close to the equilibrium configuration (this property is commonly known in stochastic control theory as the turnpike property). Based on the paper Electron. J. Probab. 27: 1-32 (2022). DOI: 10.1214/22-EJP850

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10 PhD positions at HetSys Warwick - deadline Jan 25 2023
by Massimiliano Tamborrino 14 Dec '22

14 Dec '22

Dear all, the HetSys Centre for Doctoral Training<https://warwick.ac.uk/fac/sci/hetsys> at Warwick is opening 10 fully funded PhD positions for a start in October 2023, with deadline for applying on the 25th January 2023 (more details are reported below). Among other projects, I'm supervising, together with Tim Sullivan, a project on "Probabilistic learning for time-parallel solvers of complex models", see https://warwick.ac.uk/fac/sci/hetsys/themes/continuum/hp2023-04/ The project is suitable for anyone with a background in mathematics, statistics, or computer science. It will involve both programming and theoretical analysis, although the exact balance can be tuned to the interests and skills of the successful candidate. Please get in touch if you are interested and pass the message to potentially interested candidates. Best, Massi ------ Dr. Massimiliano Tamborrino Assistant Professor Department of Statistics University of Warwick https://warwick.ac.uk/tamborrino --------- 10 Fully Funded PhD Positions within HetSys Centre for Doctoral Training at Warwick for October 2023 start HetSys<https://warwick.ac.uk/fac/sci/hetsys> is an EPSRC-supported Centre for Doctoral Training (CDT) which trains people to challenge current state-of-the-art in computational modelling of heterogeneous, real-world systems across a range of research themes spanning quantum<https://warwick.ac.uk/fac/sci/hetsys/themes/quantum/availableprojects/>, atomistic<https://warwick.ac.uk/fac/sci/hetsys/themes/atomistic/availableprojects/> and continuum<https://warwick.ac.uk/fac/sci/hetsys/themes/continuum/availableprojects/> models of materials and molecules. The HetSys team are now recruiting our fifth cohort of enthusiastic students from across the physical sciences who enjoy using their mathematical skills and thinking flexibly to solve complex problems to join our EPSRC Centre for Doctoral Training in Modelling of Heterogeneous Systems at the University of Warwick, UK. Our exciting range of new PhD projects<https://warwick.ac.uk/fac/sci/hetsys/themes/projectopportunities/> for Oct 2023 can be found on our webpage<https://warwick.ac.uk/fac/sci/hetsys/>. HetSys is built around a closely knit, highly collaborative team of academics from science departments across Warwick (this year including Physics, Engineering, Chemistry, Life Sciences, Mathematics, Statistics and the Warwick Manufacturing Group) at Warwick. With its project partners HetSys is developing talented, energetic PhD students to push boundaries in this exciting field. The students will inspire new ideas, approaches and innovation and become future leaders in developing new technologies. Full funding is available for 10 candidates, including those who meet the required UK residency criteria plus a small number of international students. We require at least a 2(i) honours degree at BSc or an integrated masters degree (e.g. MPhys, MChem, MSci, MEng etc.) in a physical sciences, mathematics or engineering discipline. The studentships pay a stipend to cover maintenance as well as paying the university fees and research training support. The stipend is at the standard UKRI rate (for 2022/23 that is £17,668 per annum) The first-round deadline for all applicants is 25 January 2023. Interviews will be held shortly after this closing date. Please pass this message on to potentially interested candidates. For more details of the HetSys training programme and our current PhD Projects see the HetSys webpage at https://warwick.ac.uk/hetsys or contact us by email at hetsys(a)warwick.ac.uk<mailto:hetsys@warwick.ac.uk>.

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Seminar by A. Awerkin in Padova (Friday 16.12.2022)
by Giorgia Callegaro 13 Dec '22

13 Dec '22

Dear all, you're invited to the next seminar in Probability and Finance, that will take place on Friday 16th December, at 15.30, in hybrid mode at the Mathematics Department of the University of Padova. More details: * *Speaker*: *Almendra Awerkin* (Università di Brescia) * *Date and time*: 16th December 2022, 3.30 pm * *Room (Torre Archimede)*: room 702 * *Zoom link*: please find it at https://www.math.unipd.it/~bianchi/seminari/ * *Title*: *Optimal investment and fair sharing rules of the incentives for renewable energy communities * * *Abstract*: In order to face climate and energy objectives, as reduction of GHG emission and energy independency, countries start to promote sustainable energy plans. In the research for solutions to achieve such goals, Renewable Energy Communities (REC) start to play an important role. A REC is defined as a cooperative, non-profit organization of final customers, which can involve different stakeholders, such as municipalities, local societies, public and private companies, with the purpose of self-producing and self-consuming energy from renewable sources. Recently, the Italian government introduced an incentive tariff for REC. The special feature of this tariff is that it rewards the shared energy from the installation of new renewable sources. Shared energy is defined as the demand of the community which is satisfied by the self-production of energy. In this context, two relevant problems have to be solved: the optimal investment in new technologies and a fair division of the incentive among the community members. In this talk we address this problem by modeling an energy community as a static leader follower problem, where the leader, which can be understood as the administrator or coordinator of the REC, decides the percentage of the incentive that correspond to each member of the community, while the followers, represented by the members of the community, decide how much initially invest in new renewable energy production. We identified the optimal division of the incentive (leader) with a Nash bargaining solution. Additionally, we supposed a competitive game between the community members (followers) and we identified the initial optimal investment solution with a Nash equilibrium. We finish the talk by presenting some extension of our model, partial results and work in progress related to the optimal investment and management of energy communities. See you soon, thanks, Giorgia Callegaro -- Giorgia Callegaro Associate Professor Department of Mathematics - University of Padova Via Trieste 63 , I-35121 Padova - ITALY Tel: +39-0498271481 Fax: +39-0498271499 E-Mail: gcallega(a)math.unipd.it <https://webmail.math.unipd.it/horde3/imp/message.php?mailbox=Sent&index=598#> Personal web-page: https://sites.google.com/site/giogiocallegaro/Home

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Two open positions at BCAM - Bilbao
by Gianni Pagnini 13 Dec '22

13 Dec '22

Dear colleagues, I would like to remind you that we have open at BCAM in Bilbao two positions: one PostDoc and one Research technician. The Research technician is intended as a bridge contract after the Master and before to start a PhD. The deadline for both positions is the 16th of December 2022, with a possible extension of two weeks. Here are the corresponding links: Postdoc. Research program "Stochastic Modelling and Simulation of Anomalous Diffusion" http://www.bcamath.org/en/research/job/ic2022-10-postdoctoral-fellow-on-eff… <http://www.bcamath.org/en/research/job/ic2022-10-postdoctoral-fellow-on-eff…> Research technician. Research program "Data Analysis for Anomalous Diffusion in Biological Media" http://www.bcamath.org/en/research/job/ic2022-10-research-technician-on-eff… <http://www.bcamath.org/en/research/job/ic2022-10-research-technician-on-eff…> For any question, you can get in contact with me: gpagnini(a)bcamath.org <mailto:gpagnini@bcamath.org> Thank you very much. Sincerely, Gianni Ps: further open positions at BCAM can be found at http://www.bcamath.org/en/research/job <http://www.bcamath.org/en/research/job> — Gianni Pagnini Ikerbasque Research Associate BCAM - Basque Center for Applied Mathematics Alameda de Mazarredo, 14 E-48009 Bilbao, Basque Country - Spain Tel. +34 946 567 842 gpagnini(a)bcamath.org | www.bcamath.org/gpagnini ( matematika mugaz bestalde )

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LUISS Math Seminars: Katia Colaneri, Thursday 15 December
by Alessandro Calvia 13 Dec '22

13 Dec '22

Dear all, I am pleased to announce the next seminar in the LUISS math seminars series. Speaker: Katia Colaneri, Università di Roma Tor Vergata. Title: Some Optimisation Problems in Insurance with a Terminal Distribution Constraint. Abstract: We study two optimisation settings for an insurance company, under the constraint that the terminal surplus at a deterministic and finite time T follows a certain target distribution. First, we allow the insurance company to pay dividends and seek to maximise the expected discounted dividend payments or to minimise the ruin probability under the terminal distribution constraint that the surplus is Gaussian with given mean and variance. Here, we find explicit expressions for the optimal strategies in both cases, when the dividend strategy is updated at discrete points in time and continuously in time. Second, we let the insurance company buy a reinsurance contract for a pool of insured or a branch of business. In this setting we only allow for piecewise constant reinsurance strategies producing a normally distributed terminal surplus, whose mean and variance lead, e.g. to a given Value-at-Risk at some confidence level alpha. We investigate the question which admissible reinsurance strategy produces a smaller ruin probability, if the ruin-checks are due at discrete deterministic points in time. This presentation is based on an joint work with Julia Eisenberg (TU Vienna) and Benedetta Salterini (Univ. of Firenze) The seminar will take place on Thursday, 15 December at 12:00 PM in Room A202 - viale Romania 32, Roma. You can also attend the seminar online, at the link: https://luiss.webex.com/luiss/j.php?MTID=md2a2fee18ee7ce119c87b0babc7754c2 User: w_guest(a)luiss.it<mailto:w_guest@luiss.it> Password: iXqHekc0W7Q Best regards, Alessandro Calvia Alessandro Calvia Assistant Professor Dipartimento di Economia e Finanza Luiss Libera Università Internazionale degli Studi Sociali Guido Carli Viale Romania, 32 - 00197 Roma T +39 0685225907 acalvia(a)luiss.it<mailto:acalvia@luiss.it> www.luiss.it<http://www.luiss.it/> https://luiss.webex.com/meet/acalvia

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Seminar in Statistics - MARTA CATALANO
by Pierpaolo De Blasi 12 Dec '22

12 Dec '22

SEMINARS IN STATISTICS @ COLLEGIO CARLO ALBERTO <https://www.carloalberto.org/events/category/seminars/seminars-in-statistic…> Venerdi 16 Dicembre 2022, alle ore 12.00, presso il Collegio Carlo Alberto, in Piazza Arbarello 8, Torino, si terrà il seguente seminario: ------------------------------------------------ Speaker: *Marta Catalano* (University of Warwick) Title: *Optimal transport to measure the impact of the prior in Bayesian nonparametrics* Abstract: The Dirichlet process has been pivotal to the development of Bayesian nonparametrics, allowing one to learn the law of the observations through closed-form expressions. Still, its learning mechanism is often too simplistic and many generalizations have been proposed to increase its flexibility, a popular one being the class of normalized completely random measures. Here we investigate a simple yet fundamental matter: will a different prior actually guarantee a different learning outcome? To this end, we develop a new framework for assessing the merging rate of opinions based on three leading pillars: i) the investigation of identifiability of completely random measures; ii) the measurement of their discrepancy through a novel optimal transport distance; iii) the establishment of general techniques to conduct posterior analyses, unravelling both finite-sample and asymptotic behaviour of the distance as the number of observations grows. Our findings provide neat and interpretable insights on the impact of popular Bayesian nonparametric priors, with very mild assumptions on the data-generating process. ------------------------------------------------ Sarà possibile seguire il seminario anche in streaming: Join Zoom Meeting <https://us02web.zoom.us/j/84498069342?pwd=ZkJOcnlNalEybmlEdE1QUGFEczZmdz09> Il seminario è organizzato dalla "de Castro" Statistics Initiative www.carloalberto.org/stats -- Pierpaolo De Blasi University of Torino & Collegio Carlo Alberto carloalberto.org/pdeblasi <https://sites.google.com/a/carloalberto.org/pdeblasi/>

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PhD positions at the Maxwell Institute, Edinburgh
by Ottobre, Michela 09 Dec '22

09 Dec '22

Dear all, Heriot Watt and the Maxwell Institute, Edinburgh, are advertising a number of fully funded PhD Scholarships, of the duration of 3 and a half years. Applications are open in any area of Pure and Applied Mathematics, including (but not restricted to) Algebra, Mathematical Physics, Analysis of PDEs, Inverse Problems, Uncertainty Quantification, Calculus of Variations, Probability, Stochastic Analysis, Numerical Analysis, Mathematical Biology and Ecology, Modelling, Statistics, Computational Science, Actuarial Mathematics etc. The deadline for applications is 23rd of January 2023. We will accept applications also after this deadline, but best chances are before January 23rd. For information on our programmes, see the link below https://www.maxwell.ac.uk/graduate-school/ A description of (many of) the PhD projects offered by the HW research groups can be found here https://www.hw.ac.uk/uk/schools/mathematical-computer-sciences/research/phd… We actively promote Equality, Diversity and Inclusion and welcome applications from all qualified applicants. All the Best, Michela -------------------------------------- Michela Ottobre Associate Professor in Mathematics Heriot-Watt University ________________________________ Founded in 1821, Heriot-Watt is a leader in ideas and solutions. With campuses and students across the entire globe we span the world, delivering innovation and educational excellence in business, engineering, design and the physical, social and life sciences. This email is generated from the Heriot-Watt University Group, which includes: 1. Heriot-Watt University, a Scottish charity registered under number SC000278 2. Heriot- Watt Services Limited (Oriam), Scotland's national performance centre for sport. Heriot-Watt Services Limited is a private limited company registered is Scotland with registered number SC271030 and registered office at Research & Enterprise Services Heriot-Watt University, Riccarton, Edinburgh, EH14 4AS. The contents (including any attachments) are confidential. If you are not the intended recipient of this e-mail, any disclosure, copying, distribution or use of its contents is strictly prohibited, and you should please notify the sender immediately and then delete it (including any attachments) from your system.

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postdoctoral position at Warwick
by Giuseppe Cannizzaro 09 Dec '22

09 Dec '22

Gentili colleghi, vi scrivo per comunicarvi che ho aperto una posizione di postdoc presso l'università Warwick per lavorare con me su argomenti di probabilità, analisi stocastica e meccanica statistica. https://atsv7.wcn.co.uk/search_engine/jobs.cgi?owner=5062452&ownertype=fair… Vi prego di incoraggiare buoni candidati che stanno completando o hanno completato il dottorato a fare domanda. Cari saluti, Giuseppe

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Fw: job announcement 6-year position in Econometrics/Statistics at TU Wien
by Avalos Pacheco, Alejandra 08 Dec '22

08 Dec '22

Buongiorno, ricevo ed inoltro. Alejandra Avalos-Pacheco, PhD ________________________________ From: Ulrike Schneider <ulrike.schneider(a)tuwien.ac.at> Sent: 01 December 2022 09:52 Subject: job announcement 6-year position in Econometrics/Statistics at TU Wien Dear colleagues, the Econometrics group at TU Wien is announcing a job opening for a 6-year assistant professor position (non-tenure track) in Econometrics/Statistics with earliest start date in March 2023. I would be grateful if you could forward the announcement to potentially interested candidates - thank you! Best wishes from Vienna, Ulrike

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Assistant Professor in Mathematics at Dublin City University
by Paolo Guasoni 08 Dec '22

08 Dec '22

The School of Mathematical Sciences in Dublin City University is inviting applications for the post of Assistant Professor in Mathematics. This is a permanent position, involving teaching and research. It is expected that the successful candidate will start in September 2023. Further details are at https://www.dcu.ie/sites/default/files/inline-files/BC221106%20Assistant%20… and the application form at https://www.dcu.ie/hr/vacancies-current-vacancies-external-applicants The closing date for applications being* Friday 6 January 2023*. Please bring this position to the attention of any interested candidates. -- * *Séanadh Ríomhphoist/Email Disclaimer* *Tá an ríomhphost seo agus aon chomhad a sheoltar leis faoi rún agus is lena úsáid ag an seolaí agus sin amháin é. Is féidir tuilleadh a léamh anseo. <https://sites.google.com/view/seanadh-riomhphoist>* *This e-mail and any files transmitted with it are confidential and are intended solely for use by the addressee. Read more here. <https://sites.google.com/view/dcu-email-disclaimer>* * -- <https://www.facebook.com/DCU/> <https://twitter.com/DCU> <https://www.linkedin.com/company/dublin-city-university> <https://www.instagram.com/dublincityuniversity/?hl=en> <https://www.youtube.com/user/DublinCityUniversity>

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(PMS)^2 talk - Mario Maurelli - December 13 at 17.30
by Margherita Zanella 07 Dec '22

07 Dec '22

Dear colleagues, We are happy to announce the following online talk: Speaker: Mario Maurelli(Università di Pisa). Title: A McKean-Vlasov SDE and particle system with interaction from reflecting boundaries. Abstract: We consider a one-dimensional McKean-Vlasov SDE on a domain and the associated meanfield interacting particle system. The peculiarity of this system is the combination of the interaction, which keeps the average position prescribed, and the reflection at the boundaries; these two factors make the effect of reflection non local. We show path-wise well-posedness for the McKean-Vlasov SDE and convergence for the particle system in the limit of large particle number. Joint work with Michele Coghi, Wolfgang Dreyer, Peter K. Friz, Paul Gajewski, Clemens Guhlke. Date and time: Tuesday December 13, 17:30-18:30 (Rome time zone) Link: Entra nella riunione in Zoom https://polimi-it.zoom.us/j/92900386273?pwd=dG1xTUtsN0JpaFl2TWlzRTJ1a0lBZz09 ID riunione: 929 0038 6273 Passcode: 638099 This talk is part of the (PMS)^2: Pavia-Milano Seminar series on Probability and Mathematical Statistics organized jointly by the universities Milano-Bicocca, Pavia, Milano-Politecnico. Participation is free and welcome! Best regards The organizers (Carlo Orrieri, Maurizia Rossi, Margherita Zanella)

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Seminario del Dott. Ascari - 14 dicembre 16.00
by Enea Bongiorno 07 Dec '22

07 Dec '22

Buongiorno, con piacere segnalo il seguente seminario: -------------------------------- 14 dicembre ore 16.00 - aula 203, campus Perrone, via Perrone, 18, Novara. Università del Piemonte Orientale. - on-line: meet.google.com/yvq-ccbt-pzt Dott. Roberto Ascari Università di Milano-Bicocca Title: The flexible Latent Dirichlet Allocation Abstract: Over recent years, text modeling techniques have been employed in several applications, including the detection of latent topics in text documents. A widespread statistical tool for topic modeling is the Latent Dirichlet Allocation (LDA), which allows for a document representation in terms of topic composition. A well-known limitation of the LDA is related to the stiffness of the Dirichlet prior imposed on the topic distributions. To consider a richer dependence structure, we propose a generalization of the Dirichlet distribution as an alternative distribution, namely the flexible Dirichlet (FD). The FD is a distribution defined on the simplex space allowing for a finite mixture structure. This choice introduces additional parameters in the LDA, and ensures more flexibility, still maintaining the model interpretability, as well as conjugacy to the multinomial model. The latter property allows for a Collapsed Gibbs Sampling-based estimation procedure. The generalization of the LDA based on the FD distribution is illustrated via an application to a real dataset. ----------------------------------- Tutti gli interessati sono invitati a partecipare. Cordiali saluti, Enea -- Enea Bongiorno,PhD Associate Professor of Statistics Università degli Studi del Piemonte Orientale Via Perrone 18, 28100, Novara, Italia Phone: +390321375317 enea.bongiorno(a)uniupo.it upobook.uniupo.it/enea.bongiorno

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SPASS seminar: Milo Viviani - TUE 13.12 at 14:00
by Andrea Agazzi 07 Dec '22

07 Dec '22

Dear Colleagues, We would like to invite you to the following SPASS <https://sites.google.com/unipi.it/spass> seminar, jointly organized by UniPi, SNS, UniFi and UniSi: *On the infinite dimension limit of invariant measures and solutions of Zeitlin's 2D Euler equations* by Milo Viviani (Centro de Giorgi, Scuola Normale Superiore di Pisa) The seminar will take place in person on *TUE, 13.12.2022 at 14:00 CET* in Aula Seminari, Department of Mathematics, University of Pisa and streamed online here <https://meet.google.com/gji-phwo-vbg>. The organizers, A. Agazzi, G. Bet, A. Caraceni, F. Grotto, G. Zanco https://sites.google.com/unipi.it/spass -------------------------------------------- *Title: **On the infinite dimension limit of invariant measures and solutions of Zeitlin's 2D Euler equations* *Abstract: **In this talk we consider a finite dimensional approximation for the 2D Euler equations on the sphere, proposed by V. Zeitlin, and show their convergence towards a solution of the Euler equations with marginals distributed as the enstrophy measure. The method relies on nontrivial computations on the structure constants of the Poisson algebra of functions on S², that appear to be new. Finally, we discuss the problem of extending our results to Gibbsian measures associated with higher Casimirs, via Zeitlin’s model.*

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Seminar Wager @Bocconi - 12Dec at 12:00
by Giacomo Zanella 06 Dec '22

06 Dec '22

We are glad to announce the following hybrid seminar: Monday, 12 of December 2022 at 12:00 In person: Room 3-E4-SR03, floor 3, Bocconi University, Via Roentgen 1, Milan Zoom link: https://unibocconi-it.zoom.us/j/95882011831; Meeting ID: 958 8201 1831 Speaker: Stefan Wager (Stanford University) Title: Learning from a Biased Sample Abstract: The empirical risk minimization approach to data-driven decision making assumes that we can learn a decision rule from training data drawn under the same conditions as the ones we want to deploy it under. However, in a number of settings, we may be concerned that our training sample is biased, and that some groups (characterized by either observable or unobservable attributes) may be under- or over-represented relative to the general population; and in this setting empirical risk minimization over the training set may fail to yield rules that perform well at deployment. Building on concepts from distributionally robust optimization and sensitivity analysis, we propose a method for learning a decision rule that minimizes the worst-case risk incurred under a family of test distributions whose conditional distributions of outcomes Y given covariates X differ from the conditional training distribution by at most a constant factor, and whose covariate distributions are absolutely continuous with respect to the covariate distribution of the training data. We apply a result of Rockafellar and Uryasev to show that this problem is equivalent to an augmented convex risk minimization problem. We give statistical guarantees for learning a robust model using the method of sieves and propose a deep learning algorithm whose loss function captures our robustness target. We empirically validate our proposed method in simulations and a case study with the MIMIC-III dataset. Best regards, Giacomo Zanella

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Corso Marta CATALANO (University of Warwick)
by Matteo Ruggiero 05 Dec '22

05 Dec '22

Cari colleghi, nell’ambito del programma di Visiting Professors della Laurea Magistrale in Stochastics and Data Science dell’Università di Torino (il programma completo è consultabile alla pagina https://www.master-sds.unito.it/go/visiting), con piacere annunciamo il seguente corso: -------------------------------------- MARTA CATALANO (University of Warwick) DEPENDENT NONPARAMETRIC PRIORS VIA COMPLETELY RANDOM MEASURES Bayesian nonparametrics provides a natural framework for performing flexible inference with principled quantification of uncertainty. The main ingredients are discrete random measures, whose laws act as prior distribution for infinite-dimensional parameters and, combined with the data, provide their posterior distribution. Recent works use dependent random measures to perform simultaneous inference across multiple samples. The borrowing of strength across different samples is regulated by the dependence structure of the random measures, with complete dependence corresponding to maximal sharing of information and fully exchangeable observations. In these lectures we start from the notion of completely random measure and describe several ways of introducing dependence between them. Different models may still induce the same amount of borrowing of information, measured by an index of dependence. In the two sample case, this is often achieved by second order summaries of the joint distribution through linear correlation. In the multivariate scenario, we characterise dependence in terms of distance from exchangeability by relying on optimal transport. This allows for informed prior elicitations and provides a fair ground for model comparison. -------------------------------------- Il corso si svolgerà solo in presenza secondo il seguente calendario Lez 1: mar 13/12: 14-16 - Aula 4 Lez 2: mer 14/12: 9.15-11.15 - Aula 4 Lez 3: mer 14/12: 14-16 - Aula 30 Lez 4: gio 15/12: 14-16 - Aula 11 Sede dei corsi: Corso Unione Sovietica 218/bis, 10134, Torino Il corso è rivolto agli studenti della Laurea Magistrale ma la partecipazione è aperta a tutti gli interessati. Cordiali saluti, Matteo Ruggiero --- Matteo Ruggiero University of Torino and Collegio Carlo Alberto www.matteoruggiero.it

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Fwd: Postdoc jobs
by Matteo Ruggiero 05 Dec '22

05 Dec '22

ricevo e inoltro --- Matteo Ruggiero University of Torino and Collegio Carlo Alberto www.matteoruggiero.it > Inizio messaggio inoltrato: > > Da: Andreas Kyprianou <ak257(a)bath.ac.uk> > Oggetto: Postdoc jobs > Data: 5 dicembre 2022 08:42:23 CET > > A number of postdoc openings, please distribute to any potential candidates: > > https://atsv7.wcn.co.uk/search_engine/jobs.cgi?owner=5062452&ownertype=fair… <https://www.google.com/url?q=https://atsv7.wcn.co.uk/search_engine/jobs.cgi…> > > (To help explain the context: I am moving to Warwick from 1st Jan). > > Queries to Andreas Kyprianou (a.e.kyprianou(a)gmail.com <mailto:a.e.kyprianou@gmail.com>)

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