March 2021 - Random - Mailing list — Dipartimento di Matematica, UniPI

Ricercatore a Tempo Determinato - Università della Basilicata
by Marco Isopi 18 Mar '21

18 Mar '21

È stato pubblicato il bando per un posto da Ricercatore a Tempo Determinato (tipo B) presso l'Università della Basilicata: http://service.unibas.it/albo/files/000695488-UNPZCLE-06163f19-bc48-438e-a2…

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Concorso RTDB 13/D1 Sapienza Università di Roma
by Brunero Liseo 18 Mar '21

18 Mar '21

Con eventuali scuse per ricezioni multiple Brunero Liseo Si comunica che sul Portale Trasparenza Amministrativa, è stato pubblicato il bando relativo alla seguente procedura selettiva: N. 1 POSTO DI RICERCATORE A TEMPO DETERMINATO TIPOLOGIA B - SC 13/D1 SECS-S/01 - DIP. DI METODI E MODELLI PER L'ECONOMIA, IL TERRITORIO E LA FINANZA (MEMOTEF) - FACOLTÀ DI ECONOMIA Il bando è pubblicato al seguente link: https://web.uniroma1.it/trasparenza/bando/174720_2021rtdb002 Si evidenziano di seguito gli elementi del bando: Codice bando: 2021RTDB002 Data scadenza del bando: 15/04/2021 Pubblicazione G.U. n. 21 del 16.03.2021 -- ============================================ Brunero Liseo *Dip. di metodi e modelli per il territorio, l'economia e la finanza * *Sapienza Università di Roma* *Viale Castro Laurenziano, 9 Roma I-00161 *Tel. +39 06 49766973 Fax +39 06 4957606 *https://sites.google.com/a/uniroma1.it/brulis/home <https://sites.google.com/a/uniroma1.it/brulis/home>* ============================================ -- ________________________________________________________ Le informazioni contenute in questo messaggio di posta elettronica sono strettamente riservate e indirizzate esclusivamente al destinatario. Si prega di non leggere, fare copia, inoltrare a terzi o conservare tale messaggio se non si è il legittimo destinatario dello stesso. Qualora tale messaggio sia stato ricevuto per errore, si prega di restituirlo al mittente e di cancellarlo permanentemente dal proprio computer. The information contained in this e mail message is strictly confidential and intended for the use of the addressee only. If you are not the intended recipient, please do not read, copy, forward or store it on your computer. If you have received the message in error, please forward it back to the sender and delete it permanently from your computer system.

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Fwd: 6 PhD Positions in Stochastics and Algorithmics
by Francesca Romana Nardi 18 Mar '21

18 Mar '21

Carissime e carissimi, Ricevo e inoltro. Se ci fossero interessati possono contattare direttamente Vlasiou, Maria <m.vlasiou(a)tue.nl> Cari saluti Francesca Romana Nardi ---------- Forwarded message --------- Da: Vlasiou, Maria <m.vlasiou(a)tue.nl> Date: mer 17 mar 2021 alle ore 17:16 Subject: 6 PhD Positions in Stochastics and Algorithmics To: Francesca Romana Nardi (Francescaromana.nardi(a)unifi.it) < Francescaromana.nardi(a)unifi.it> Hi Francesca, Marko has an open position where he *has* to recruit a foreigner and has a deadline for applications 31 March. Can you please forward the announcement to any student you know who may be about to finish their MSc and is interested in stochastics? The student can start in Sept / Oct, after they finish, but the application deadline is *31 March.* https://www.thenetworkcenter.nl/Open-Positions/openposition/29/6-PhD-Positi… https://www.thenetworkcenter.nl/uploaded_files/inlineitem/221Spring_Network… (The first project in Appendix A) Cheers, Maria -- Prof. dr. Maria Vlasiou University of Twente Eindhoven University of Technology President EWM-NL <http://www.ewmnetherlands.nl/> office: +31 40 247 5185 www.win.tue.nl/~mvlasiou

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Padova Online Seminar by Luisa Andreis (Università di Firenze) [Friday, Mar. 26 at 14.30]
by alessandra bianchi 18 Mar '21

18 Mar '21

Dear Colleagues, We would like to invite you to the following Probability seminar that will take place on March 26 at 14.30 by the zoom platform. ________________________________________________________ Speaker: Luisa Andreis (Università di Firenze) Title: Phase transitions in sparse random graphs and coagulation processes 26 MARCH (Friday) - 14:30 zoom link: TBA available on the webpage https://www.math.unipd.it/~bianchi/seminari/ ) Abstract: Sparse inhomogeneous random graphs are a natural generalization of the well-known Erdos Rényi random graph, where vertices are characterized by a type and edges are independent but distributed according to the type of the vertices that they are connecting. These graphs undergo a phase transition in terms of the emergence of a giant component exactly as the classical Erdos Rényi model. In this talk we will present an alternative approach, via large deviations, to prove this phase transition. This allows a comparison with the gelation phase transition that characterizes coagulation processes and the phase transition of condensation type emerging in several systems of interacting components. This is an ongoing joint work with Wolfgang Koenig (WIAS and TU Berlin), Robert Patterson (WIAS) and Heide Langhammer (TU Berlin). -- Alessandra Bianchi Dip. di Matematica Università di Padova Via Trieste, 63 - 35121 Padova, Italy phone: +39 049 827 14 06 fax: +39 049 827 14 28 e-mail: bianchi(a)math.unipd.it http://www.math.unipd.it/~bianchi/

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Fwd: [owps] One World Probability Seminar Thursday March 18, 2021
by Faggionato, Alessandra 17 Mar '21

17 Mar '21

Buongiorno inoltro l'annuncio del OWPS di domani, che sarà focalizzato sul metodo di Stein (anche con applicazioni alla statistica). Saluti Alessandra ---------- Forwarded message --------- Da: One World Probability <ow.probability(a)gmail.com> Date: mer 17 mar 2021 alle ore 12:06 Subject: [owps] One World Probability Seminar Thursday March 18, 2021 To: <owps(a)lists.bath.ac.uk> Tomorrow's speakers in the One World Probability Seminar are (Note: all times are in UTC. *Due to time changes, you should check what that translates to in your location*) ------------------------------------------------ (14:00-15:00 UTC) Speaker: Yvik Swan (Université Libre de Bruxelles) Title: Stein’s density approach Abstract: Stein’s method is a collection of tools allowing to obtain explicit (non-asymptotic) bounds on discrepancies between probability distributions. The heart of the method is a so-called “Stein operator”, and it is the objective of this talk to present the basic theory behind these operators, and also cover some applications of the theory. After presenting the general theory (with a focus on Stein’s so-called density approach), we will give details on the 1-dimensional case, hereby connecting with classical topics such as Covariance and Poincaré inequalities. The material covered in the talk is closely related to work with Marie Ernst, Christophe Ley, Guillaume Mijoule and Gesine Reinert. (15:00-16:00 UTC) Speaker: Gesine Reinert (University of Oxford) Title: Stein’s method for multivariate continuous distributions and some statistical applications Abstract: Stein’s method can be viewed as employing an operator which action characterises a distribution uniquely, relating this operator to test functions through a Stein equation, and comparing distributions by taking expectations of this Stein equation. Using the density approach for Stein’s method, this talk will present a general framework for Stein’s method for multivariate continuous distributions. For any given nontrivial distribution this approach leads to an infinite collection of Stein characterisations which can be used to assess distributional distances. We shall apply this framework to compare posterior distributions which arise from the same model but using different priors. Using the notion of a weak Stein equation, bounds on distributional distances based on Lipschitz test functions are obtained if the distribution admits a Poincare’ constant. This result will be used to compare copulas. Finally, using the notion of a Stein kernel, we shall extend Stein’s shrinkage results and Stein’s Unbiased Risk Estimate (SURE) to non-Gaussian distributions. This talk is based on joint work with Max Fathi, Larry Goldstein, Adrien Saumard, and of course Yvik Swan. ------------------------------------------------ The zoom link will appear the day before on the OWPS website: https://www.owprobability.org/one-world-probability-seminar <https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.owpro…> It can also be directly accessed through the link below: https://uniroma1.zoom.us/j/81951703647?pwd=QUR4M0QraDFTZG5qY0VvVmVoS0pnZz09 <https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Funiroma1.…> Meeting ID: 819 5170 3647 Passcode: 614352 Please feel free to circulate this email. We hope to see you all tomorrow! One World Probability Team -- ************************************************* Prof. Alessandra Faggionato http://www1.mat.uniroma1.it/~faggionato/ Department of Mathematics University "La Sapienza" Piazzale Aldo Moro, 5 00185 - Rome Office 5, Phone (0039) 06 49913252 *************************************************

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Seminario di Franco Flandoli e Umberto Pappalettera in Bicocca
by Gianmario Tessitore - UNIMIB 16 Mar '21

16 Mar '21

Ho il piacere di annunciare il seguente seminario, da remoto, di Franco Flandoli e Umberto Pappalettera (Scuola Normale Superiore): Titolo " *Stochastic model reduction and stochastic equations with transport noise*" * Lunedì 22 Marzo 2021 ore 17:30* il seminario avrà la durata di un’ora circa e i due relatori si alterneranno. Seguono il riassunto e il link Zoom. Tutti gli interessati sono invitati a partecipare. Gianmario Tessitore %%%%%%%%%%%%%%%%%%%%%%%%%%%% Abstract. The first part of the talk will illustrate the potential role of stochastic model reduction in the understanding of transport noise in fluid dynamic models. In the second part, some rigorous results will be outlined. Entra nella riunione in Zoom https://us02web.zoom.us/j/83074836346?pwd=ajZaL0JJc1VnR3BUNEdzclg1KzM2QT09 ID riunione: 830 7483 6346 Passcode: 778958 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% -- Gianmario Tessitore Dipartimento di Matematica e Applicazioni Università degli Studi di Milano-Bicocca

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Pisa Online Seminars - Michela Ottobre and Andrea Agazzi (Tuesday, Mar. 23 at 16:00 and 17:00)
by Giacomo Filippo Di Gesu 16 Mar '21

16 Mar '21

Dear colleagues, I would like to invite you to the following online seminar organized by the Probability group of the University of Pisa. The two talks will be accessible under the link Click here to join the meeting<https://teams.microsoft.com/l/meetup-join/19%3A17115d7f6ef44c5e91974362906c…> Best regards, Giacomo Tuesday, March 23, 16:00 Speaker: Michela Ottobre (Heriot-Watt University Edinburgh) Title: Uniform in time approximations of stochastic dynamics Abstract: Complicated models, for which a detailed analysis is too far out of reach, are routinely approximated via a variety of procedures; this is the case when we use multiscale methods, when we take many particle limits and obtained a simplified, coarse-grained dynamics, or, simply, when we use numerical methods. While approximating, we make an error which is small over small time-intervals but it typically compounds over longer time-horizons. Hence, in general, the approximation error grows in time so that the results of our ``predictions" are less reliable when we look at longer time-hormizons. However this is not necessarily the case and one may be able to find dynamics and corresponding approximation procedures for which the error remains bounded, uniformly in time. We will discuss a very general approach to understand when this is possible. I will show how the approach we take is very broad and show how it can be used for all of the approximation procedures mentioned above. This is based on a series of joint works with a number of people: L. Angeli, J. Barre', D. Crisan, P. Dobson, I. Souttar and E. Zatorska. Tuesday, March 23, 17:00 Speaker: Andrea Agazzi (Duke University) Title: Large deviations for stochastic models of chemical reaction networks Abstract: At the microscopic level, the dynamics of arbitrary networks of chemical reactions can be modeled as jump Markov processes whose sample paths converge, in the limit of large number of molecules, to the solutions of a set of algebraic ordinary differential equations. Fluctuations around these asymptotic trajectories and the corresponding phase transitions can in principle be studied through large deviations theory in path space, also called Wentzell-Freidlin (W-F) theory. However, the specific form of the jump rates for this family of processes does not satisfy the standard regularity assumptions imposed by such theory. This talk discusses how such conditions can be relaxed. In this talk, I will discuss sufficient stability and nondegeneracy conditions on the given family of Markov jump processes to obtain the desired large deviations estimates, and show how some of these conditions can be translated into structural ones, facilitating their verification for large chemical networks. ************************ Giacomo Di Gesù Dipartimento di Matematica Università di Pisa Largo Bruno Pontecorvo 5 56127 - Pisa, Italy giacomo.digesu(a)unipi.it<mailto:giacomo.digesu@unipi.it> https://sites.google.com/site/giacomodigesu/

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Seminar announcement Thursday 25 - Reciprocity in a Preferential Attachment Network (prof. Tiandong Wang)
by Gianmarco Bet 16 Mar '21

16 Mar '21

Dear colleagues, On March Thursday 25 at 16:00, prof. Tiandong Wang (Texas A&M) will give a virtual seminar “in Florence”, to which you are all invited. You can find title and abstract below. Title: Reciprocity in a Preferential Attachment Network Abstract: Empirical studies show that online social networks have not only in- and out-degree distributions with Pareto-like tails, but also a high proportion of reciprocal edges. A classical directed preferential attachment (PA) model generates in- and out-degree distribution with power-law tails, but theoretical properties of the reciprocity feature in this model have not yet been studied. We derive the asymptotic results on the number of reciprocal edges between two fixed nodes, as well as the proportion of reciprocal edges in the entire PA network. We see that with certain choices of parameters, the proportion of reciprocal edges in a directed PA network is close to 0, which differs from the empirical observation. This points out one potential problem of fitting a classical PA model to a given network dataset with high reciprocity, and indicates alternative models need to be considered. The seminar will be on Zoom. You can find the information to join below. Topic: Tiandong Wang - Reciprocity in a Preferential Attachment Network Time: Mar 25, 2021 04:00 PM Rome https://us02web.zoom.us/j/82762436142?pwd=MW45SWN6NTBqV0VWbVJWREhESmtaZz09 Meeting ID: 827 6243 6142 Passcode: 897951 If you know of someone who might be interested and is not subscribed to the random mailing list, please do not hesitate to forward this announcement to them. Kind regards, Gianmarco ---------------------------------------------------------------------- Gianmarco Bet (he/him) Junior researcher https://gianmarco.bet Phone: (+39) 055 2751491 Department of Mathematics and Informatics "U. Dini" University of Florence Viale Morgagni, 65 50134 Firenze, Italy Office 64 ----------------------------------------------------------------------

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2 posizioni PhD aperte nell'ambito del progetto europeo ITN ETN TraDE-OPT
by villa silvia 15 Mar '21

15 Mar '21

Cari colleghi, vorrei pubblicizzare due posizioni di dottorato aperte presso l’Universita’ di Graz e presso l’Università di Louvain nell’ambito del progetto europeo TraDE-OPT <https://trade-opt-itn.eu/> . Di seguito la call piu’ precisa. Cari saluti Silvia Villa ________________________________________ 2 PHD positions to work broadly on large scale optimization for machine learning, supported by an ITN ETN project (https://trade-opt-itn.eu <https://trade-opt-itn.eu/>). The projects will aim at developing theoretical and algorithmic ideas that can explain the success of current systems as well as suggest the development of novel practical and efficient solutions. Candidates must have strong mathematical and computational skills. While the emphasis is on methodological and computational aspects, the candidates will have the opportunity to work in close collaborations on a number of applications, in connections with the industrial partners of the project. The research activities will be carried out at the University of Graz, under the supervision of Prof. Bredies, for one project and at the University Catholique de Louvain under the supervision of Prof. Glineur, for the other project. Applicants need to write an email to: malga(a)unige.it <mailto:malga@unige.it> specifying to which positions they are interested within the ***end of March***. Eligibility criteria • Candidates must – at the date of recruitment – have obtained the MSc degree entitling you to embark on a doctorate • Candidates must – at the date of recruitment – be within the first four years (full-time equivalent research experience) of your research career and not have a doctoral degree • Mobility rule: candidates must not have resided or carried out your main activity (work, studies, etc.) in the country of the host organisation you are applying (i.e. Italy) for more than 12 months in the 3 years immediately prior to the recruitment date. Compulsory national service and/or short stays such as holidays are not taken into account. Please make sure you comply with the eligibility criteria before applying. You need to be able to provide documentation proving your eligibility for recruitment. You can read the full description of eligibility criteria in the Information Note for ITN Fellows. ____________________________________________ See also: https://euraxess.ec.europa.eu/jobs/61117 <https://euraxess.ec.europa.eu/jobs/516136>

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avviso seminario lunedì 15 - Multiscale Approximations In Stochastic Biochemical Networks
by Enrico Bibbona 14 Mar '21

14 Mar '21

Gentilissimi, con la presente si comunica che lunedì 15 marzo, ore 16:30, la Prof.ssa Hye-Won Kang (University of Maryland Baltimore County) presenterà un seminario dal titolo: “Multiscale Approximations In Stochastic Biochemical Networks” Questo evento è parte del "Progetto di eccellenza", DISMA - Politecnico di Torino. Maggiori informazioni reperibili nella locandina allegata e sul sito: www.polito.it/disma-excellence/ Il seminario si terrà in forma telematica, tramite la piattaforma Zoom. Per collegarsi, è necessario utilizzare il seguente link https://polito-it.zoom.us/j/97383163671?pwd=T2pDZ2tpa0xTU3dOL1AyV3R3TEZuZz09 ID riunione: 973 8316 3671 Passcode: 343972 Accedendo al seminario, si prega di tenere microfono e videocamera disattivati. Per porre domande al termine del seminario, si prega di utilizzare la chat per chiedere la parola. Cordiali saluti - - - - - - - - - - - - - - - - - - - - - - - - - - - - Dear colleagues, it is our pleasure to invite you to the seminar “Multiscale Approximations In Stochastic Biochemical Networks” by prof. Hye-Won Kang (University of Maryland Baltimore County). The seminar will be held on Monday, March 15, at 16:30. This event is part of "Progetto di eccellenza", DISMA - Politecnico di Torino. Further information available on the attached flyer and www.polito.it/disma-excellence/ The seminar will be an online event on Zoom platform. To connect, please follow this link https://polito-it.zoom.us/j/97383163671?pwd=T2pDZ2tpa0xTU3dOL1AyV3R3TEZuZz09 ID riunione: 973 8316 3671 Passcode: 343972 By connecting to the seminar, please switch both microphone and webcam off. The question time will be at the end of the talk. Please, use the chat to ask for the floor. Best regards, DISMA Politecnico di Torino Dipartimento di eccellenza 2018-2022 Enrico Bibbona Associate Professor of Statistics Probability, Statistics and Optimization group Department of Mathematical Sciences "G. L Lagrange" Politecnico di Torino

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