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2 positions of Research Assistant - Imaging and Vision Laboratory, University of Milano-Bicocca
by Elisa Varini 20 Jun '24

20 Jun '24

The Imaging and Vision Laboratory at the University of Milano-Bicocca is seeking two candidates for a 12-months Research Assistant (Italian Assegno di Ricerca – Post-Doc Equivalent). The candidates will work in the context of the project "SMILE: Statistical Machine Learning for Exposure development", funded by the Italian Ministry of University and Research (MUR) through the PRIN 2022 PNRR program. A Master's Degree in Computer Science, Data Science, Computer Engineering, Sciences and technologies for the environment and the territory, or Mathematics is required. - Duration: 12 months each - Start of the contract: November 1, 2024 - Salary: monthly net of about 2,000 Euro - Deadline: July 8, 2024 at 12:00 (Rome time) Apply here: https://www.unimib.it/ateneo/gare-e-concorsi/cod-24a143 If you are interested, and for more information please contact: gianluigi.ciocca(a)unimib.it Brief description of the project The purpose of the research is the study of machine learning techniques for the extraction of information inherent the type, characteristics, and distribution of buildings on a given territory. This information will be used to assess the exposure development of the territory to potential risk situations. To this end, the data expected to be analyzed will be heterogeneous and may come from aerial imagery (e.g. remote sensing), land use data surveyed by public administrations (e.g. ISTAT-National Institute of Statistics) and crowd-sourced data collected by trained citizens. Artificial intelligence tools such as deep neural networks applicable to image classification, object detection and semantic segmentation are expected to be used in the development of this study.

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Seminario Mattia Martini - Politecnico di Milano - 28 Giugno 2024
by Luca Scarpa 18 Jun '24

18 Jun '24

Si segnala il seguente seminario a tutti gli interessati. Venerdì 28 Giugno 2024, ore 11. Aula Seminari III Piano, Dipartimento di Matematica, Politecnico di Milano. Speaker: Mattia Martini, Laboratoire J.A. Dieudonné, Université Cotê d’Azur. Title: Fourier Galerkin approximation of mean field control problems. Abstract: Over the past twenty years, mean field control theory has been developed to study cooperative games between weakly interacting agents (particles). The limiting formulation of a (stochastic) mean field control problem, arising as the number of agents approaches infinity, is a control problem for trajectories with values in the space of probability measures. The goal of this talk is to introduce a finite dimensional approximation of the solution to a mean field optimal control problem set on the d-dimensional torus, without relying on particle-based methods. Our approximation is obtained by means of a Fourier-Galerkin method, the main principle of which is to truncate the Fourier expansion of probability measures. However, this operation has the main feature not to leave the space of probability measures invariant, which drawback is know as Gibbs’ phenomenon. We prove that the Fourier-Galerkin method induces a new finite-dimensional control problem with trajectories in the space of probability measures with a finite number of Fourier coefficients. We also present convergence results for the optimal control, trajectory, and value function, showing that our method achieves faster convergence rates than the usual particle approach, offering a more efficient alternative. This talk is based on joint work with François Delarue. Link Zoom: https://polimi-it.zoom.us/j/96132906687?pwd=XkWbAEEwLArGvbC49YFfWQh8Vqcl78.1 Link Seminario Polimi: https://www.mate.polimi.it/eventi/?id=2457 ----- Prof. Luca Scarpa, PhD Associate Professor in Probability Department of Mathematics Politecnico di Milano Via E. Bonardi 9 20133 Milano, Italy e.mail: luca.scarpa(a)polimi.it<mailto:luca.scarpa@polimi.it> url: https://sites.google.com/view/lucascarpa

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Seminars Colaneri and Scopelliti
by Stefano Pagliarani 18 Jun '24

18 Jun '24

Dear all, On June 19th, in the classroom Aula Vitali, Department of Mathematics at the University of Bologna, the following seminars will take place: * 11:00-12:00: Domenico SCOPELLITI "PREFERENCE RELATIONS AND EQUILIBRIUM PROBLEMS: A VARIATIONAL APPROACH" * 12:00-13:00: Katia COLANERI "RANDOM CARBON TAX POLICY AND INVESTMENT INTO EMISSION ABATEMENT TECHNOLOGIES" as part of the cycle Stochastics and Applications. The abstracts are available at https://www.dm.unibo.it/seminari/mat/serials/36 For any question, please contact the organizers: Lorenzo Cerboni Baiardi and Stefano Pagliarani. Best regards, ------------------------------------------------------------------------------------------------------------------------ Stefano Pagliarani, Associate Professor Piazza di Porta S. Donato, 5 University of Bologna (Alma Mater) 40126 Bologna (BO), Italy Department of Mathematics Cell. Phone +39 366 5013755 Email: stepagliara1(a)gmail.com<mailto:stepagliara1@gmail.com>, <mailto:stefano.pagliarani9@unibo.it> stefano.pagliarani9(a)unibo.it<mailto:stefano.pagliarani9@unibo.it> Zoom: https://unibo.zoom.us/j/3755841669 -----------------------------------------------------------------------------------------------------------------------

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avviso di seminario
by Barbara Martinucci 18 Jun '24

18 Jun '24

*UNIVERSITA' DI SALERNO* *Dipartimento di Matematica* AVVISO DI SEMINARIO Il Prof. *Nikolai Leonenko *(*Cardiff University, UK*) terrà, *giovedì 20 giugno, alle ore 12:00*, presso la Sala Riunioni dell'Edificio F2 (piano 1, stanza 36), un seminario dal titolo: *Varentropy Estimation via Nearest Neighbour Graphs* Gli interessati sono cordialmente invitati a partecipare, *Antonio Di Crescenzo* *Barbara Martinucci* *Alessandra Meoli* *Serena Spina* Link su Teams: https://teams.microsoft.com/l/meetup-join/19%3ameeting_NzM0Yjc4OGItZDAxNS00… ID riunione: 332 326 211 910 Passcode: M5x2Be *Abstract* The Varentropy is a measure of the variability of the information content of random vector and it is invariant under affine transformations. We introduce the statistical estimate of varentropy of random vector based on the nearest neighbour graphs (distances). The asymptotic unbiasedness and consistency of the estimates are established. The talk is based on joint results with Yu Sun (LSE, UK) and Emanuele Taufer (University of Trento, Italy). Reference Leonenko, N., Sun, Y., and Taufer, E. (2024). Varentropy estimation via nearest neighbour graphs. ArXiv, 2402.09374, p.1-51

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Avviso di Seminario a Caserta
by epirozzi 17 Jun '24

17 Jun '24

AVVISO DI SEMINARIO   Mercoledì 19 giugno 2024, alle ore 11:00, in aula G, del Dipartimento di Matematica e Fisica dell Università Vanvitelli in Caserta, la Professoressa Yuliya Mishura, Department of Probability, Statistics and Actuarial Mathematics, Taras Shevchenko National University of Kyiv, Kyiv (Ukraine), terrà un seminario dal titolo Stochastic integration and stochastic differential equations involving fractional Brownian motion Abstract: We consider path-wise integration w.r.t. fBm and the properties of the respective integrals. Then we consider SDEs with fBm, existence and uniqueness result, and some examples and applications. Le proponenti Luigia Caputo, Enrica Pirozzi, Roberta Schiattarella https://teams.microsoft.com/l/meetup-join/19%3angtFxnVYxWJkiJh491ssYOedTfvV…

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Avviso di seminario prof.ssa Mishura - Cambio data
by Luigia Caputo 17 Jun '24

17 Jun '24

AVVISO di SEMINARIO Dipartimento di Matematica e Applicazioni “R. Caccioppoli” Università degli Studi di Napoli Federico II Il giorno 20 giugno 2024, alle ore 11:30, in aula F del Dipartimento di Matematica e Applicazioni R. Caccioppoli, la Prof.ssa Yuliya Mishura, Department of Probability, Statistics and Actuarial Mathematics, Taras Shevchenko National University of Kyiv, Kyiv (Ukraine), terrà il seguente seminario: “Entropy and alternative entropy functionals of fractional Gaussian noise” Abstract: We introduce the notion of Shannon entropy in application to fractional Gaussian noise and present its properties with respect to Hurst index. Alternative entropy functionals are constructed and studied. The prediction problem for fractional Gaussian noise is considered. Microsoft Teams link: https://teams.microsoft.com/l/meetup-join/19%3aMQ4RZDBo_0G-K_PHxKtktVYAczOG… I Proponenti Luigia Caputo, Enrica Pirozzi e Roberta Schiattarella

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Seminario prof. Hernandez Montoya
by Enrico Scalas 17 Jun '24

17 Jun '24

Avviso di seminario Il 19 giugno 2024, in aula 24 del Dipartimento di Scienze Statistiche presso Sapienza, Università di Roma. dalle ore 14, il Prof. Alejandro Raul Hernandez Montoya dell’Universidad Veracruzana a Xalapa, Messico, terrà un seminario dal titolo: On the universality of the wealth distribution and preliminary results of data analyses performed on Mexican income data Tutte le persone interessate sono invitate a partecipare. Cordiali saluti, Enrico Scalas

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Seminario Daniela Bertacchi - Politecnico di Milano - 20 Giugno 2024
by Luca Scarpa 17 Jun '24

17 Jun '24

Si segnala il seguente seminario a tutti gli interessati. Giovedì 20 Giugno 2024, ore 11. Aula Seminari Mox VI Piano, Dipartimento di Matematica, Politecnico di Milano. Speaker: Daniela Bertacchi, Università di Milano-Bicocca. Title: A new stochastic order applied to branching random walks. Abstract: Stochastic ordering is a powerful tool to compare random variables and processes. We introduce a new type of stochastic ordering which generalizes the germ order introduced by Hutchcroft in 2022, which uses the generating function of the process. We apply this order to compare different branching random walks on a countable space $X$. We prove that given two branching random walks with law $\mu$ and $\nu$ respectively, with $\mu\ge\nu$, then in every set where there is extinction according to $\mu$, there is extinction also according to $\nu$. Moreover, in every set where there is strong local survival according to $\nu$, there is strong local survival also according to $\mu$, provided that the supremum of the global extinction probabilities, for the $\nu$-process, taken over all starting points $x$, is strictly smaller than 1. New conditions for survival and strong survival for inhomogeneous branching random walks are provided. We also extend a result of Moyal (1962), on the properties of fixed points of the generating function of a branching random walk. Link Zoom: https://polimi-it.zoom.us/j/98506199710?pwd=XQWObX8sheg0QTOpRhovbDS7ozxYl0.1 Link Seminario Polimi: https://www.mate.polimi.it/eventi/?id=2456 ----- Prof. Luca Scarpa, PhD Associate Professor in Probability Department of Mathematics Politecnico di Milano Via E. Bonardi 9 20133 Milano, Italy e.mail: luca.scarpa(a)polimi.it<mailto:luca.scarpa@polimi.it> url: https://sites.google.com/view/lucascarpa

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Two post-doctoral positions @Scuola Normale Superiore, Pisa.
by Giulia Livieri 15 Jun '24

15 Jun '24

*1. Post-doctoral research position: *"Mathematical modeling for the study of climate change and its impact on the financial systems". The position is financed by the following research project: "Qnt4Green - Quantitative Approaches for Green Bond Market: Risk Assessment, Agency Problems and Policy Incentives (PRIN 2022)". *Link of the call with all the details: * https://bandi.mur.gov.it/bandi.php/public/fellowship/id_fellow/267486 *Deadline:* June 19, 2024. *Job duration:* 12 months. *Teaching:* none. *Remuneration:* 25,000 Eur per year. *2. Post-doctoral research position: *"Probabilistic models for the energy transition". The position is financed by the following research project: "Qnt4Green - Quantitative Approaches for Green Bond Market: Risk Assessment, Agency Problems and Policy Incentives (PRIN 2022)". *Link of the call with all the details: * https://bandi.mur.gov.it/bandi.php/public/fellowship/id_fellow/267899 *Deadline:* June 24, 2024. *Job duration:* 12 months. *Teaching:* none. *Remuneration:* 25,000 Eur per year. Interested candidates can contact me or Dr. Roberto Pellungrini ( roberto.pellungrini(a)sns.it) for questions/clarifications. Best wishes, Giulia.

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Seminar Prof. William F Rosenberger @unimib
by Giacomo Aletti 14 Jun '24

14 Jun '24

Ricevo e inoltro volentieri. G From: Andrea Ghiglietti <andrea.ghiglietti(a)unimib.it> Date: Friday, 14 June 2024 at 11:52 To: Giacomo Aletti <giacomo.aletti(a)unimi.it> Subject: Seminar Prof. William F Rosenberger @unimib Dear all, you are invited to participate to the following seminar on Tuesday 25th of June 2024 at 11:00 at University of Milano-Bicocca (Via Bicocca degli Arcimboldi 8 - Milano - Room 2062, Building U7, 2nd floor): Speaker: William F. Rosenberger (George Mason University) Title: Casual Inference for Clinical Trails*: A Spellchecker’s Guide to Randomization Tests in Complex Settings Sir Austin Bradford Hill, the developer of the first randomized clinical trial, was a proponent of simplicity in statistical analysis, and strongly emphasized careful study design as the critical component of all medical studies. While he didn’t mention randomization tests in his 1937 book, I believe he would have liked their simplicity and interpretability. Any inference procedure which assumes random sampling from a population ignores Fisherian principles regarding the analysis of designed experiments. And clinical trials are the quintessential designed experiment. While we hear quite often about preservation of type I error rates and, more recently, about causal inference, these are natural elements of a randomization test. We discuss these issues and demonstrate that randomization tests can be used for more complex settings, such as multiple (>2) treatment comparisons, analyses with missing outcome data, and subgroup analyses. It is interesting to note that the only cohort of statisticians NOT excited about randomization tests in this age of causal inference are the designers and conductors of randomized clinical trials! I will conclude with a few historical notes about Fisher and de Finetti*. *The two most often misspelled words during my term as Biometrics co-editor. WebEx Link: https://unimib.webex.com/unimib/j.php?MTID=m055f520c4202f12aee18484284e1d49b Best wishes, Andrea Ghiglietti La Statale per il futuro Salute, transizione digitale, sostenibilità Il tuo 5xmille<https://www.unimi.it/it/ateneo/sostenere-la-statale/cinque-mille> ai nuovi progetti di ricerca dell'Università degli Studi di Milano. Codice fiscale 80012650158

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