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notizia di Workshop
by Antonio DI CRESCENZO 14 Apr '21

14 Apr '21

Gent.mi, inoltro la notizia di un Workshop indirizzato verso "Probabilistic Methods for Time Series Data Management". Cordiali saluti, Antonio Di Crescenzo ----- I would like to point out the Workshop "ProTime2021" at the conference 'Data Base and Expert System Applications' (DEXA2021) - the scope is Probabilistic Methods for Time Series Data Management: http://www.dexa.org/protime2021 <https://www.researchgate.net/deref/http%3A%2F%2Fwww.dexa.org%2Fprotime2021> It happens for the first time, and we are curious about the amount of interest - also, the deadline is already the 23ed of April. However, this can be talked about. Please, if you know about interested people especially from the probability community, it would be of great value to the Workshop to have such contributions. It is a particularly good opportunity to publish probabilistic methods in the machine learning context. Thanks for spreading the news - it would be great to have participants from your community! With the best regards, Florian Sobieczky

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Reminder: online seminar - Angelo Lucia (Caltech)
by Carbone Raffaella 13 Apr '21

13 Apr '21

Dear colleagues, it is our pleasure to invite you to the following seminar Speaker: *Angelo Lucia *(Caltech - Division of Physics, Mathematics and Astronomy) Title: *Mixing time of quantum Gibbs samplers* Time: Wednesday, *April 14*, 5PM (Italian time) The abstract follows below in this message. Zoom Link for the seminar <https://us02web.zoom.us/j/86771523774?pwd=SitEVEhPSGRlaEkxTHZmQk9rTmlLZz09> The seminar is a satellite activity of the PhD course "Introduction to coercive inequalities with applications in analysis and probability theory" (professor Boguslaw Zegarlinski - Imperial College, London) Best regards, Raffaella Carbone Abstract. Gibbs samplers are Markovian semigroups whose evolution converges towards the termal equilibrium of a given Hamiltonian (the Gibbs state). The time that the evolution takes, in the worst case, to converge close to the thermal state is known as the mixing time. Knowing the mixing time of a process is useful for many applications, and it can be estimated with various functional inequalities. In the case of classical spin systems on a lattice, it was shown that it is possible to determine the mixing properties of the semigroup from some "static" clustering condition of the thermal state. This suggests the question of whether the same is true for quantum spin systems. In this talk, I will focus on the specific case of Gibbs states of commuting Hamiltonians, and present some recent result in this direction. I will introduce the notion of quantum conditional relative entropy and show how it can be used to prove quasi-factorization (or approximate tensorization) properties of the quantum relative entropy. I will then show how these can be used to bound log-Sobolev constants for product semigroups with heath-bath generators, and under stronger assumptions in more general situations. -- Raffaella Carbone, PhD Probabilità e Statistica Matematica Dipartimento di Matematica dell'Università degli Studi di Pavia

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In ricordo di Luigi M. Ricciardi
by Luigia Caputo 13 Apr '21

13 Apr '21

Cari colleghi, venerdì 16 Aprile, dalle ore 16:00 alle ore 16:30, in occasione dell'adunanza dell'Accademia di Scienze Fisiche e Matematiche, il Prof. Antonio Di Crescenzo, dell'Università degli Studi di Salerno, terrà una conversazione in ricordo di Luigi M. Ricciardi, a dieci anni dalla sua scomparsa. La conversazione avrà luogo in modalità telematica sulla piattaforma Microsoft Teams. Gli interessati sono calorosamente invitati a partecipare, accedendo al seguente link: https://teams.microsoft.com/dl/launcher/launcher.html?url=%2F_%23%2Fl%2Fmee… Cordiali saluti, Luigia Caputo -- Luigia Caputo Dipartimento di Matematica e Applicazioni Scuola Politecnica e delle Scienze di Base Universita' di Napoli FEDERICO II Via Cintia, Monte S.Angelo, 80126, NAPOLI, ITALY Tel. 081-675671 https://www.docenti.unina.it/luigia.caputo

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PhD call
by Irene Crimaldi 12 Apr '21

12 Apr '21

Dear all, I am writing you because my university, IMT School for Advanced Studies Lucca (*www.imtlucca.it <https://www.imtlucca.it/en>*) is currently recruiting PhD students for the 2021/22 Programs. It is truly an excellent opportunity highly motivated candidates: the Programs are fully-financed (no tuition fees), all students receive up to four years of scholarships (15.300€/year) plus free room and board on-campus. I have attached some additional information and a flyer that contains the main details of the call. The call for applications ends on June 30th 2021 - 12.00 pm CEST – the application is entirely online (*https://www.imtlucca.it/en/phd/information-for-students <https://www.imtlucca.it/en/phd/information-for-students>*). I would be so grateful if you could pass this one to whom you think might be interested. All the best, Irene

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8 PhD scholarships in Statistical Sciences – University of Padova, Italy – Deadline May 12, 2021 - 13:00 (CEST)
by Susi Ceron 09 Apr '21

09 Apr '21

Eight PhD scholarships (6 funded by the University of Padova and 2 funded by the Fondazione Cassa di Risparmio di Padova e Rovigo of which 1 is a fully funded grant reserved to foreign, non-italian, graduate students) are available at University of Padova for candidates interested in the area of *Statistical Sciences* (*start of activities: October 1st, 2021*). *Eligibility* The scholarship competition is open to applicants of any age or citizenship, holding a 2nd cycle degree or a single cycle degree from an Italian university or an equivalent qualification from other countries of at least four years’ duration (applicants can get their qualification no later than 30th September 2021). Admission is decided on the basis of qualifications only and does not require an entry examination. *Grant awarded* The annual grant will be of euros *15,343.28* (gross amount). The grant will be awarded for three years and it will be subject to satisfactory progresses evaluated on a yearly basis. *How to apply* The call is published (*deadline May 12, 2021 - 1 pm CEST*) at the page http://www.unipd.it/ricerca/dottorati-di-ricerca/bandi-e-graduatorie English version at the page http://www.unipd.it/en/node/1053 Please, note that the curriculum has to be written by filling the template CV_XXXVII available from the Course web page http://www.stat.unipd.it/ricerca/ammissione and uploading the filled template in the online procedure. *Applications are only accepted online using the link indicated in the call.* For more information about the Statistical Sciences PhD program see https://www.stat.unipd.it/ricerca/dottorato-di-ricerca For more information about admission see http://www.stat.unipd.it/ricerca/ammissione or contact phd(a)stat.unipd.it Kindest regards, PhD Secretariat on behalf of prof. Nicola Sartori Coordinator of the PhD Course in Statistics University of Padova - Italy *We apologize for cross posting *

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Online Seminar by Cagin Ararat, Bilkent University (Wednesday, April 21, 15:30)
by Elisa Mastrogiacomo 09 Apr '21

09 Apr '21

*** Apologize for cross-posting *** On April Thursday 21 at 15:30, Cagin Ararat (Bilkent University) will give a virtual seminar “in Insubria & Bicocca”, to which you are all invited. Title and abstract below. Title: Set-valued martingales and backward stochastic differential equations Abstract: Motivated by the connection between univariate dynamic risk measures and backward stochastic differential equations, we start building a theory for set-valued backward stochastic differential equations (SV-BSDE). As a first step for this purpose, we formulate a simple SV-BSDE with a compact-valued driver function and study the well-posedness of this SV-BSDE. A key tool in establishing well-posedness is the availability of a stochastic integral representation for set-valued martingales. We prove a new martingale representation theorem which, in contrast to the available literature, allows the initial value of the martingale to be nontrivial. This is a joint work with Jin Ma (USC) and Wenqian Wu (USC). The seminar will be on Microsoft Teams. You can find the information to join below. Topic: Cagin Ararat - Set-valued martingales and backward stochastic differential equations Time: Apr 21, 2021 03:30 PM Rome Where: Microsoft Teams Link: https://teams.microsoft.com/l/meetup-join/19%3ameeting_Yzc1OGY5YjAtNjNhZC00… Please forward to anyone interested. Kind regards, Emanuela Rosazza Gianin and Elisa Mastrogiacomo

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Associate Professor position in SPDEs in Oslo
by Luigi Amedeo Bianchi 09 Apr '21

09 Apr '21

Inoltro il seguente annuncio di una posizione da professore associato a Oslo. The Department of Mathematics at the University of Oslo announced an associate professorship position in the area of stochastic PDEs. The deadline for applications is April, 21. Additional information available at: https://www.jobbnorge.no/en/available-jobs/job/202219/associate-professor-i… <https://www.jobbnorge.no/en/available-jobs/job/202219/associate-professor-i…>

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Seminar announcement
by Marco Scarsini 09 Apr '21

09 Apr '21

Thursday, 15 April, 17:00 CET *Vahideh Manshadi**, *Yale University Fair Dynamic Rationing <http://mailsender.luiss.it/lists/lt.php?id=cRpQBwUASAUEBw1OVgFdBQs> Discussants: Florin Ciocan and Sean Sinclair The paper can be found here <https://arxiv.org/abs/2102.01240>. This is the link to the Virtual Room <http://mailsender.luiss.it/lists/lt.php?id=cRpQAAYBSAUEBw1OVgFdBQs>. If you want to receive the password to access the virtual room, please fill out this form <https://docs.google.com/forms/d/e/1FAIpQLSeDxM-M5ogG43elgjC-lNCp0BDhISiZHG0…> (If you filled out the form in the past, this is not necessary). The schedule of the upcoming seminars can be found here <https://economiaefinanza.luiss.it/en/seminari/seminari-2021>. ******************************************************* Marco Scarsini Dipartimento di Economia e Finanza Luiss Viale Romania 32 00197 Roma, ITALY URL: http://docenti.luiss.it/scarsini/

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ABC in "Svalbard" (in fact, online)
by Massimiliano ... 09 Apr '21

09 Apr '21

Buon giorno, causa pandemia, la 2 giorni "ABC in Svalbard" su ABC, simulation-based inference e likelihood-free inference sarà interamente online, gratis e aperta a tutti, come riportato sotto nell'invito di Chistian Robert. Cordiali saluti, Massimiliano ------ Dr. Massimiliano Tamborrino Assistant Professor Department of Statistics University of Warwick https://warwick.ac.uk/tamborrino ********************************************************************************** Dear All, Since we sadly had to cancel the physical workshop in Longyearbyen, Svalbard next week, we have organised mirror versions in different places. Brisbane, Grenoble and Melbourne. The event is open to everyone and free, with the programme available on https://sites.google.com/view/abcinsvalbard-grenoble-mirror/<https://emea01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fsites.go…> Here is the Zoom link for the Grenoble side [no password needed] https://univ-grenoble-alpes-fr.zoom.us/j/99840576807?pwd=ZHNkaU1jU0ZHRVZma3…<https://emea01.safelinks.protection.outlook.com/?url=https%3A%2F%2Funiv-gre…> while for Monash/Brisbane 1) Here are the schedule, personnel, titles and abstracts: https://docs.google.com/spreadsheets/d/1VP9qzvs85b7QnhfYyXBKJUbKAYm07SYMF5p…<https://emea01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdocs.goo…> 2) Here is the zoom link for the 2.00-5.00pm time slots on both days: Please click this URL to start or join. https://monash.zoom.us/j/89085250244?pwd=ZUxFTzVWTThuTldCMDZuUW1BQnA5UT09<https://emea01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.goog…> Or, go to https://monash.zoom.us/join<https://emea01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.goog…> and enter meeting ID: 890 8525 0244 and passcode: 746409 Feel free to forward the links through your mailing lists and we hope to see you on-line next week! All the best, Christian Robert (on behalf of the organisers)

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BAYSM 2021: registration and abstract submission are now open!
by Federico Camerlenghi 08 Apr '21

08 Apr '21

Dear all, the Bayesian Young Statisticians Meeting (BAYSM2021) will take place online on September 1-3, 2021. BAYSM is the official conference of j-ISBA, the junior section of the International Society for Bayesian Analysis. It is intended for Ph.D. Students, M.S. Students, Post-Docs, Young and Junior researchers working in the field of Bayesian statistics, providing an opportunity to connect with the Bayesian community at large. Senior discussants will be present at each session, providing participants with hints, suggestions and comments to their work. Distinguished professors of the Bayesian community will also participate as keynote speakers, making an altogether exciting program. Registration is now open https://events.stat.uconn.edu/BAYSM2021/ <https://events.stat.uconn.edu/BAYSM2021/>and it will be free, but mandatory. The event is also supported by ISBA and Yunnan University (Kunming, China). Young researchers interested in giving a talk or presenting a poster are invited to *submit an extended abstract by May 10, 2021* during the registration process. Notification of acceptance will be given by the end of June. *The extended abstract should be written according to the template and instructions provided on the registration page*, the template is downloadable from the button "Resources". For organizational reasons, we kindly ask all the interested researchers to register even if they just want to attend the meeting, the deadline for registration is again May 10, 2021. *Confirmed Keynote speakers:* Maria De Iorio Francesca Dominici David Dunson Xuanlong Nguyen Amy Shi Jessica Utts *Confirmed discussants:* Cathy WS Chen Pierre Jacob Rosangela Loschi Li Ma David Rossel While the meeting is organized for and by junior Bayesians, attendance is open to anyone who may be interested. For more information, please visit the conference website: https://events.stat.uconn.edu/BAYSM2021/ <https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fevents.st…> Or write an email to baysm.isba(a)gmail.com On behalf of the BAYSM2021 organizing committee -- Federico Camerlenghi Assistant Professor RTDb Department of Economics, Management and Statistics University of Milano Bicocca, Milano, Italy. web-page: https://www.unimib.it/federico-camerlenghi

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