Random October 2022

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Seminar Dombry @Bocconi - Thursday 3/11 at 12:00
by Giacomo Zanella 28 Oct '22

28 Oct '22

We are glad to announce the following seminar: Thursday, 3rd of November 2022 12:00, Room AS02 (only in presence, no online) Bocconi University, Via Roentgen 1, floor -1 Speaker: Clément Dombry (Université de Franche-Comté) Title: Stone's theorem and minimax rate of convergence for distributional regression Abstract: Distributional regression aims at estimating the full conditional distribution of the response variable given the covariates and is a fundamental tool in probabilistic forecast. In this talk, we prove Stone's theorem for distributional regression. It establishes universal consistency in Wasserstein distance of a large class of models based on local weights. Next we consider minimax rates of convergence on suitable classes of distributions and prove that nearest neighbor and kernel algorithms are rate optimal. Best regards, Giacomo Zanella

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Two open positions at BCAM (Bilbao): Postdoc and Research technician
by Gianni Pagnini 25 Oct '22

25 Oct '22

Dear colleagues, 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, 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> Below you can read a cut & paste of the research program. 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> ============== Effective treatment strategies for rare diseases based on gene therapy Project summary Gene therapy medicinal products (GTMPs) are one of the most promising biopharmaceuticals, which are beginning to show encouraging results. Gene therapy based on the administration of DNA, messenger RNA (mRNA) or short-hairpin RNA (shRNA) are intended for gene augmentation or gene suppression, whereas the use of small interfering RNA (siRNA), microRNA, antisense oligonucleotides (ASOs) or aptamers provides posttranslational gene silencing. The efforts and advances made in this area have led to the development of new therapeutic strategies to treat several disorders, many of them without currently available treatments, as rare diseases. A key challenge for the clinical application of nucleic acid medicinal products entails the availability of delivery systems specifically adapted to their features and purpose. For a successful gene therapy, the delivery systems have to protect the genetic material from degradation, facilitating its internalization in target cells and releasing them intracellularly. The first step for an efficient internalization of the nucleic acid is the interaction between the delivery system and the cell membrane. Therefore, the understanding of the intracellular behaviour of the nanodelivery systems, the nucleic acid they carry (mRNA, DNA, siRNA, shRNA or ASO) and the endosomes after the internalization process will allow to advance in the design of nucleic acid based-nanomedicines aiming to improve the effectiveness of gene therapy treatments, by developing strategies for an improved intracellular delivery and endosomal escape. The issue of physical understanding and mathematical modelling of nanodelivering is still an open problem. As a matter of fact, anomalous diffusion emerged in living systems, namely, diffusing particles do not follow rules and properties of Brownian motion, and delivering by nanoparticles also goes according to anomalous diffusion such that modelling and understanding of anomalous diffusion is fundamental for gene therapy improvement. Therefore, new and advanced techniques are required for modelling such random motions and further studies needed for the understanding of the underlying statistical physics. It is well-known that anomalous diffusion is strongly related with fractional diffusion equations that are differential equations involving integral operators defined within the branch of mathematical analysis named Fractional Calculus. Under the point of view of statistical physics, these systems show not classical features as, for example, long-range correlations, power-law distributions, weak ergodicity breaking and aging. This framework calls for stochastic processes in inhomogeneous media and/or for heterogeneous ensembles of particles and then within the families, for example, of scaled Brownian motion and diffusing-diffusivity as well as those of the generalized gray Brownian motion and the superstatistical fractional Brownian motion, in general, and their under-damped extension. In general, the project aims to assess in deep the intracellular behavior of lipid nanoparticles for nucleic acid delivery for establishing models of anomalous diffusion useful to optimize the nanomedicines since the first steps of development. An important step towards further progress in the clinical application of gene therapy is expected and the results be applied in a number of delivery systems and diseases. The project will be mainly focused on the following rare diseases: Rare metabolic diseases; Rare retinal degenerative diseases; CAR therapy in pediatric acute leukemia, that are currently investigated by the PharmaNanoGene group at the Faculty of Pharmacy (UPV/EHU) and Bioaraba Health Research Institute. The development of the proper stochastic processes for nanodelivering and the interpretation of the corresponding statistical physics will be conducted by the Statistical Physics group at BCAM led by the proponent Ikerbasque Research Associate Gianni Pagnini has decades of experience in the field of fractional diffusion equations and the development of the related models, while the molecular simulations and advanced data analysis will be provided by the Mathematical, Computational and Experimental Neuroscience group at BCAM led by Ikerbasque Professor Serafim Rodrigues. — 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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Assegno di Ricerca in Statistica presso Università di Milano (Statale)
by Luca Rossini 25 Oct '22

25 Oct '22

Buongiorno, presso il Dipartimento di Economia, Management e Metodi Quantitativi dell'Università degli Studi di Milano abbiamo appena aperto un assegno di ricerca di 12 mesi. La scadenza è il 17 Novembre 2022 alle ore 23:59. Tutte le informazioni ed il bando (in Italiano) è reperibile al sito: https://www.unimi.it/it/ricerca/ricerca-lastatale/fare-ricerca-da-noi/asseg… Cordiali saluti Luca Rossini -- Dr. Luca Rossini Lecturer (Assistant Professor Tenure Track) in Statistics, Department of Economics, Management and Quantitative Methods University of Milan (Statale), Italy email: luca.rossini87(a)gmail.com luca.rossini(a)unimi.it skype: luca.rossini14 web: https://lucarossini.wixsite.com/luca-rossini

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Fwd: First announcement Summer School on "Khintchine's Inequality: old and,new", Paris, June 26-30 2023
by Faggionato, Alessandra 25 Oct '22

25 Oct '22

Buongiorno, ricevo ed inoltro. Saluti Alessandra ---------- Forwarded message --------- Da: Cyril ROBERTO <cyril.roberto(a)math.cnrs.fr> Date: lun 24 ott 2022 alle ore 23:38 Subject: First announcement Summer School on "Khintchine's Inequality: old and,new", Paris, June 26-30 2023 To: Dear Colleague, You are cordially invited to participate in the Summer School at the Henri Poincaré Institute (IHP), Paris, June 26-30, 2023. We are pleased to inform you that Piotr Nayar and Krzysztof Oleszkiewicz (Warsaw University) will each give 10 hours of lectures on Khintchine's inequalities. To get more information about this Summer School, please go to the following web page: https://indico.math.cnrs.fr/event/8606/ Registration is free but mandatory. In order to register, go to the "registration" link. Note that the school may have some (limited) financial support for young people (PhD, postdocs). Financial support is up to approximately 500 euros.To ask for said support, please send an email to the organizers at khintchine.IHP.2023(a)outlook.fr Looking very much forward to seeing you in Paris, With all best wishes, The organizers (Ali Barki, James Melbourne and Cyril Roberto) P.S.: Please bring this Summer School to the attention of graduate students, postdocs and colleagues who may be interested. P.P.S.: Sorry for the multiple instances of the same message. ************************************************* Prof. Alessandra Faggionato https://www1.mat.uniroma1.it/people/faggionato/ Department of Mathematics University "La Sapienza" Piazzale Aldo Moro, 5 00185 - Rome Office 5, Phone (0039) 06 49913252 *************************************************

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Fwd: Tenure track and Postdoctoral positions at the University of British Columbia
by Faggionato, Alessandra 25 Oct '22

25 Oct '22

Buongiorno ricevo e con piacere inoltro. Buona giornata Alessandra ---------- Forwarded message --------- From: Omer Angel <angel(a)math.ubc.ca> Date: Tue, 25 Oct 2022 at 04:50 Subject: Tenure track and Postdoctoral positions at the University of British Columbia To: Alessandra Faggionato <faggiona(a)mat.uniroma1.it> Dear Alessandra, We would be grateful if you forward information about the positions below to any candidates who may be interested. ==================================================================== **Tenure track in Mathematics of Machine Learning and Artificial Intelligence**: The math department is seeking candidates for a tenure-track Assistant Professor position, to start July 2023. Applicats should hold a PhD or equivalent in mathematics or a related discipline. Postdoctoral experience is normally expected. The position is art of a new interdisciplinary research cluster on AI Methods for Scientific Impact (AIM-SI), within UBC's Centre for AI Decision-making and Action (CAIDA). CAIDA consists of over 100 researchers whose research leverages AI. We are looking for someone who is ready to build research collaborations - informal and formal - with other researchers in AIMS-SI, CAIDA, across the mathematical sciences and the university as a whole. ==================================================================== **Postdoctoral fellowships**: The probability group at UBC plans to hire postdoctoral fellows, to start in July 2023. This are 3-year positions with a relatively low teaching load. Applicants should have obtained a recent (normally no earlier than 2020) Ph.D. in Mathematics or a closely related discipline, or expect to complete one before the starting date. Candidates should demonstrate excellent potential in research and teaching. (Other groups often have postdoctoral positions as well - I do not speak for them.) ==================================================================== Review of applications for both positions will begin after November 15, 2022. Application is through mathjobs. The ads and full details may be seen at https://www.mathjobs.org/jobs/UBC We especially welcome applications from members of under-represented and/or marginalized groups, including women, people with disabilities, from racial minorities, LGBTQ+, and indigineous individuals. Please let me know if a different email address should be used. Please contact any of us for additional information: omer ------------------------------------------- Gordon Slade <slade(a)math.ubc.ca> Mathav Murugan <mathav(a)math.ubc.ca> Omer Angel <angel(a)math.ubc.ca> Jonathan Hermon <jonathan.hermon(a)gmail.com> -- ************************************************* Prof. Alessandra Faggionato https://www1.mat.uniroma1.it/people/faggionato/ Department of Mathematics University "La Sapienza" Piazzale Aldo Moro, 5 00185 - Rome Office 5, Phone (0039) 06 49913252 *************************************************

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UNIBO Statistics Seminars: Davide Ferrari, Free University of Bolzano/Bozen
by Simone Giannerini 24 Oct '22

24 Oct '22

We are glad to announce the following Statistics Seminar: Friday, October 28, 11.30 a.m. Davide Ferrari (Free University of Bozen-Bolzano) Fast Construction of Optimal Composite Likelihoods Abstract A composite likelihood is a combination of low-dimensional likelihood objects useful in applications where the data have complex structure. Although composite likelihood construction is a crucial aspect influencing both computing and statistical properties of the resulting estimator, currently there does not seem to exist a universal rule to combine low-dimensional likelihood objects that is statistically justified and fast in execution. This paper develops a methodology to select and combine the most informative low-dimensional likelihoods from a large set of candidates while carrying out parameter estimation. The new procedure minimizes the distance between composite likelihood and full likelihood scores subject to a constraint representing the afforded computing cost. The selected composite likelihood is sparse in the sense that it contains a relatively small number of informative sub-likelihoods while the noisy terms are dropped. The resulting estimator is found to have asymptotic variance close to that of the minimum-variance estimator constructed using all the low-dimensional likelihoods. Preprint on Statistica Sinica https://www3.stat.sinica.edu.tw/ss_newpaper/SS-2021-0235_na.pdf Room 2, Piazza Scaravilli 2, Bologna Link for attending the event: Fai clic qui per partecipare alla riunione<https://teams.microsoft.com/l/meetup-join/19%3ameeting_ZjY4MjE4MDQtYmM3Mi00…> Contact person: Simone Giannerini _________________________________________________________________ PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A Theme issue ‘DNA as information<https://royalsocietypublishing.org/toc/rsta/374/2063>’ edited by Julyan H.E. Cartwright, Simone Giannerini and Diego L. González _________________________________________________________________ Simone Giannerini Dipartimento di Scienze Statistiche "Paolo Fortunati" Universita' di Bologna Via delle belle arti 41 - 40126 Bologna, ITALY Tel: +39 051 2098262 Fax: +39 051 232153 https://www.unibo.it/sitoweb/simone.giannerini/ ______________________________________________________ ________________________________

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LUISS Math Seminars: Peter Bank, Thu 27 October
by Sara 21 Oct '22

21 Oct '22

Dear all, I am pleased to announce the upcoming seminar by Peter Bank, TU Berlin: https://economiaefinanza.luiss.it/seminar/2022/09/23/what-if-we-knew-what-f… The seminar will take place in Room 106 at 12pm, at the address below. You can also attend the seminar online, at the link: *Room 106:* https://luiss.webex.com/luiss/j.php?MTID=mc76ccac202efab1b18aea6a847fc1457 *User:* w_guest(a)luiss.it *Password: *ilLGhdI522Q Very best, Sara -- Sara Biagini, Professor of Mathematical Finance Department of Economics and Finance LUISS Guido Carli https://www.luiss.it/ Address: Viale Romania, 32 - 00197 Roma Web: http://sites.google.com/site/sarabiagini/

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I: Statistique mathématique: Post-Doc à Orsay
by Rita Giuliano 20 Oct '22

20 Oct '22

Inoltro per eventuali interessati Rita Giuliano ________________________________ ________________________________ De: "Yohann" <yohann.de-castro(a)ec-lyon.fr> À: icj(a)math.univ-lyon1.fr Envoyé: Mercredi 19 Octobre 2022 10:37:28 Objet: [icj] Post-Doc à Orsay Bonjour, J’ai le plaisir de vous faire part d'une annonce de post-doc à Orsay en statistique mathématique. Cordialement Yohann De Castro _______________________________________________ ICJ mailing list ICJ(a)math.univ-lyon1.fr https://es.sonicurlprotection-fra.com/click?PV=2&MSGID=20221019085709100024…

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Seminar: Catherine Matias 26 October: “Properties of the stochastic approximation EM algorithm”
by Fulvia Pennoni 20 Oct '22

20 Oct '22

Dear all, We are glad to invite you to the *seminar* that will take place on the *26th of October, at 14.30*, in presence in Room *Aula Seminari DiSMeQ 4026, building U7* Civitas, 4th floor, *University of Milano-Bicocca*, Via Bicocca degli Arcimboldi 8, 20126 Milano. *Catherine Matias* <http://cmatias.perso.math.cnrs.fr/>from *Centre National de la Recherche Scientifique (CNRS), Sorbonne University, Paris* will present a seminar on “*Properties of the stochastic approximation EM algorithm with the mini-batch sampling*” (see abstract below). The seminar is also available online at the following link: https://unimib.webex.com/unimib-it/j.php?MTID=m414dda85e475f906edae49b2a8ee… <https://unimib.webex.com/unimib-it/j.php?MTID=m414dda85e475f906edae49b2a8ee…> Passcode: NmEQKpfG535 (66375734 from phones) You are invited to forward the event to your students, PhDs and colleagues who may be interested in the Seminar. Kind Regards, Fulvia Pennoni On behalf of the Department of Statistics and Quantitative Methods /--------------/ *Speaker*: Catherine Matias from Centre National de la Recherche Scientifique (CNRS), Sorbonne University, Paris *Title*: /Properties of the stochastic approximation EM algorithm with the mini-batch sampling/ *Abstract*: To deal with very large datasets a mini-batch version of the Monte Carlo Markov Chain Stochastic Approximation Expectation–Maximization algorithm for general latent variable models is proposed. For exponential models the algo rithm is shown to be convergent under classical conditions as the number of iterations increases. Numerical experiments illustrate the performance of the mini-batch algorithm in various models. In particular, we highlight that mini-batch sampling results in an important speed-up of the convergence of the sequence of estimators generated by the algorithm. Moreover, insights on the effect of the mini-batch size on the limit distribution are presented. Finally, we illustrate how to use mini-batch sampling in practice to improve results when a constraint on the computing time is given. -- Fulvia Pennoni Ph.D. Dpt of Statistics and Quantitative Methods University of Milano-Bicocca

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Open call - Research Fellow at University of Oslo
by Giulia Di Nunno 20 Oct '22

20 Oct '22

Dear All, Let me bring to your attention the following position as Research Fellow (postdoc 18 months) at the Department of Mathematics, University of Oslo: https://www.jobbnorge.no/en/available-jobs/job/233446/research-fellow-at-th… Deadline for application: October 30, 2022 The Research fellow is expect to work within the scope of STORM - Stochastics for Time-Space Risk Models. In particular the research work will focus on the development of the theory and the application of models non-necessarily Markovian suitable for the modelling of market date and associated risks. More details are given in the call. Please feel free to distribute this ad further. Best regards, Giulia Di Nunno Professor Department of Mathematics University of Oslo, Norway

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