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University of Padova: call for interest for a Professor in Probability
by Tiziano Vargiolu 31 Oct '19

31 Oct '19

Please circulate among all potential interested people Tiziano -------------------------------------------------------------------------- Tiziano Vargiolu Dipartimento di Matematica Phone: +39 049 8271383 Universita' di Padova Fax: +39 049 8271428 Via Trieste, 63 E-mail: vargiolu(a)math.unipd.it I-35121 Padova (Italy) WWW: http://www.math.unipd.it/~vargiolu --------------------------------------------------------------------------

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Call for Papers -- EFI5-Energy Finance Italia Ed.5
by Tiziano Vargiolu 31 Oct '19

31 Oct '19

-------- Messaggio originale -------- Oggetto: Call for Papers -- EFI5-Energy Finance Italia Ed.5 Data: 30-10-2019 23:09 Mittente: LM <lmastroeni(a)os.uniroma3.it> Dear All, we are delivering the Second Call for Papers for the workshop EFI5 - Energy Finance Italia Edn. 5 Roma Tre University, Department of Economics February 10 - 11, 2020 The DEADLINE for submissions is DECEMBER 15TH, 2019 IMPORTANT DATES: DECEMBER, 15TH Deadline for submissions of extended abstracts JANUARY, 15TH Deadline for notification of acceptance JANUARY, 25TH Deadline for the payment of fees JANUARY, 31ST Deadline for the submission of full papers FEBRUARY, 10TH - 11TH Workshop KEYNOTE SPEAKERS: Lutz Kilian [1] and Brian Wright [2] A SELECTION OF PAPERS presented at the workshop will be published in the journal Decisions in Economics and Finance [3]. You can find all the information at the following link http://host.uniroma3.it/eventi/efi5/ All the best Loretta Mastroeni LORETTA MASTROENI Associate Professor of Mathematical Finance Department of Economics Via Silvio D'Amico, 77 - 00145 Rome - Italy ph: +39-6-5733.5693 e-mail: loretta.mastroeni(a)uniroma3.it Skype contact: lmastroeni_1 Links: ------ [1] https://sites.google.com/site/lkilian2019/ [2] https://are.berkeley.edu/users/brian-wright [3] https://www.springer.com/journal/10203

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Fourth European Conference on Queueing Theory (ECQT'20)
by Antonio DI CRESCENZO 30 Oct '19

30 Oct '19

ricevo e inoltro /********************************************************************/ /* *Fourth European Conference on Queueing Theory (ECQT'20)* */ /* Madrid, Spain, *July 20-22, 2020* */ /* ecqt20.sciencesconf.org */ /********************************************************************/ *GENERAL INFORMATION* The European Conferences on Queueing Theory (ECQT) is now a consolidated tradition for the members of the queueing theory community in europe and abroad. After the three past editions (Genth, Belgium in 2014, Toulouse, France in 2016, Jerusalem, Israel in 2018), the next one comes back in Madrid, where the parent MCQT conferences were first organized by Jesús Artalejo during the years 2002-2010. ECQT conferences aim to be a meeting place where scientists and technicians in the field can find a discussion forum to promote research,encourage interaction and exchange ideas. The conference is open to all trends in queueing theory, including the development of the theory, methodology advances, computational aspects and applications. The spirit of the conference is to be a queueing event organized from within Europe, but attendees and submissions need not be restricted to Europe. *CALL FOR ABSTRACTS* We invite you to submit an abstract to ECQT'20 conference. Instructions for preparing the abstracts will be available soon on the conference website . Each abstract accepted for presentation will require a separate registration. The deadline for submission of an abstract is April 15, 2020. *SPECIAL ISSUES* Participants at the conference will be given the opportunity to submit a paper to special volumes of the journals *Queueing Systems: Theory and Applications* (QUESTA) and *Performance Evaluation*. The paper should be based on unpublished work presented at the conference. All submitted papers will be refereed according to the high standards of the journals. The deadline for submission to the special issues is *September 30, 2020*. More information on the special issues will be given in future announcements. *TAKACS THESIS AWARD* The Steering committee of the European Conference on Queueing Theory (ECQT) is pleased to announce the setting up of the third edition of the Takács award. The Takács Award is a bi-annual award presented to doctoral dissertations in recognition of outstanding contributions to queueing theory, including the development of theory, methodological advances, computational aspects and applications. The award will be presented during the ECQT'20 conference. Details will be published in the conference website soon. *ECQT'20 IMPORTANT DATES* Submission site opens: *January 1, 2020* Deadline for abstract submission: *April 15, 2020* Notification of acceptance: *April 30, 2020* Early registration deadline: *May 31, 2020* Conference dates: *July 20-22, 2020* *CONFERENCE WEBSITE* Further information is provided at the conference website <http://ecqt16.sciencesconf.org/>ecqt20.sciencesconf.org, accessible also at ecqt20.uc3m.es. *ECQT'20 ORGANIZING COMMITTEE* *General Chairs*: Bernardo D'Auria, Madrid University Carlos III *TPC Chairs*: Ivo Adan, Eindhoven University of Technology Bernardo D'Auria, Madrid University Carlos III Offer Kella, Hebrew University of Jerusalem *ECQT Steering Committee*: Sem Borst, TU Eindhoven and Nokia Herwig Bruneel, Ghent University Douglas Down, McMaster University Antonis Economou, University of Athens Bara Kim, Korea University Michel Mandjes, University of Amsterdam Antonio Pacheco, IST-UTL Miklos Telek, Budapest University of Technology and Economics Sabine Wittevrongel, Ghent University *Local Organizing Committee*: Sergio Santiago Benito, ADCOMM Century S.L., Madrid

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Concorso RTDB Mat/06 Roma Tor Vergata
by Domenico Marinucci 30 Oct '19

30 Oct '19

Cari colleghi vi segnalo il bando per un posto di Ricercatore di tipo B, Mat/06, Dipartimento di Matematica Università di Roma Tor Vergata, uscito ieri sulla Gazzetta Ufficiale: http://web.uniroma2.it/module/name/Content/newlang/italiano/action/showpage… Vi prego di diffondere l'annuncio tra i potenziali interessati, saluti e grazie, Domenico Marinucci -- @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ Domenico Marinucci Dipartimento di Matematica Università di Roma Tor Vergata https://www.mat.uniroma2.it/~marinucc/ @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@

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seminario Emilio Porcu a Roma Tor Vergata
by Anna Vidotto 30 Oct '19

30 Oct '19

Dear all, I would like to announce the following talk that will be held on Thursday *November* *7th* 2019, at *5 PM*, in *Aula D’Antoni* of the Department of Mathematics, University of Rome Tor Vergata. *Speaker:* Emilio Porcu (Trinity College Dublin) *Title:* Modeling Temporally Evolving and Spatially Globally Dependent Data *Abstract:* The last decades have seen an unprecedented increase in the availability of data sets that are inherently global and temporally evolving, from remotely sensed networks to climate model ensembles. This paper provides an overview of statistical modeling techniques for space–time processes, where space is the sphere representing our planet. In particular, we make a distinction between (a) second order‐based approaches and (b) practical approaches to modeling temporally evolving global processes. The former approaches are based on the specification of a class of space–time covariance functions, with space being the two‐dimensional sphere. The latter are based on explicit description of the dynamics of the space–time process, that is, by specifying its evolution as a function of its past history with added spatially dependent noise. We focus primarily on approach (a), for which the literature has been sparse. We provide new models of space–time covariance functions for random fields defined on spheres cross time. Practical approaches (b) are also discussed, with special emphasis on models built directly on the sphere, without projecting spherical coordinates onto the plane. We present a case study focused on the analysis of air pollution from the 2015 wildfires in Equatorial Asia, an event that was classified as the year's worst environmental disaster. The paper finishes with a list of the main theoretical and applied research problems in the area, where we expect the statistical community to engage over the next decade. Kind regards, Anna Vidotto --------- Anna Vidotto PostDoc Researcher Dipartimento di Matematica Università degli Studi di Roma Tor Vergata https://sites.google.com/view/annavidotto

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postdoc in Trento
by Carlo Orrieri 30 Oct '19

30 Oct '19

Dear all, The Department of mathematics at Università di Trento, invites applications for a postdoctoral position in all the areas of mathematics. Details of the postdoctoral position and information for applicants are available at the call for applications: https://www.unitn.it/ateneo/bando/60412/dipartimento-di-matematica-avviso-d… <https://www.unitn.it/ateneo/bando/60412/dipartimento-di-matematica-avviso-d…> Deadline for applications: 2 DECEMBER 2019 at 12.00 (Italian time). Best wishes Carlo Orrieri

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Fwd: 3d Physics Informed Machine Learning - January 13-17, 2020
by Mateusz Wilinski 29 Oct '19

29 Oct '19

Workshop for those interested in applying Machine Learning to physical problems. The organizers also provide a number of travel grants. Best, Mateusz ---------- Forwarded message --------- Da: Andrey Lokhov <andrey.lokhov(a)gmail.com> Date: mar 29 ott 2019 alle ore 02:12 Subject: 3d Physics Informed Machine Learning - January 13-17, 2020 To: Michael Chertkov <chertkov(a)math.arizona.edu>, Lokhov, Andrey < lokhov(a)lanl.gov>, Mohan, Arvind Thanam <arvindm(a)lanl.gov> Dear Colleagues, We would appreciate if you could share the workshop announcement below with your colleagues, and attract the attention of graduate students and postdocs to the available travel grants. Thank you, Michael Chertkov, Andrey Lokhov, Arvind Mohan ------------------- The Center for Nonlinear Studies and The Information Science & Technology Institute at Los Alamos National Laboratory are pleased to announce an upcoming conference: [image: 3ea459d06f4f4153b23454d39692e8df.jpg] *3d Physics Informed Machine Learning* *January 13-17, 2020* *Inn and Spa at Loretto, Santa Fe, New Mexico* *Workshop website: **cnls.lanl.gov/piml2020* <http://cnls.lanl.gov/piml2020> Previous editions of the workshop are available at cnls.lanl.gov/piml2018 and cnls.lanl.gov/piml2016. *Topics:* - Theory and Methods *(Monday and Tuesday morning)* Deep learning, graphical models, optimization, tensor and message-passing methods, statistical learning - Algorithms and Applications *(Tuesday afternoon and Wednesday)* Physics, computer science, biology, dynamical systems, novel computational paradigms (quantum, memristors), etc. - Special Topic: Spatio-Temporal Flows *(Thursday and Friday morning)* Dynamical systems, fluid mechanics and turbulence *Important Dates:* - Financial support requests: *November 15, 2019* - Abstract submissions: *November 15, 2019* - Travel grant awards decisions: *December 6, 2019* - Workshop dates: *January 13-17, 2020* *Travel Grants for Students and Postdocs:* A limited number of travel grants are available for selected graduate students and postdocs to help offset the cost of attending the conference. Those interested should submit an application, including poster abstract and CV, before the deadline of *November 15, 2019*. We will make funding decisions by *December 6, 2020*. Please submit your application to: *piml2020(a)lanl.gov* <piml2020(a)lanl.gov>. *Posters:* Participants are encouraged to submit a poster, which will be displayed throughout workshop. We will also schedule a slot for poster discussions, tentatively scheduled for Monday, the first day of the workshop. Depending on the schedule, some posters will be selected for longer contributed presentations throughout the week. If you are applying for a travel grant, then you are required to submit your poster abstract by Friday, November 15, 2019. *Summary:* This workshop continues discussions and explorations started in January 2016 and January 2018 at the first and second editions of the workshop. A revolution in statistics and machine learning (ML) is underway. Modern algorithms can now learn high level abstractions via hierarchical models, leading to break-through accuracy in benchmarks for computer vision, language, etc. Underlying these advances is a strong and deep connection to various aspects of applied mathematics and statistical physics. For example, proper choice of statistical force allows to screen interaction and learn graphical models governing multi-dimensional distributions efficiently, gauge transformations from physics guide incorporation of symmetries in the neural network design, dynamical system interpretation helps to understand and improve performance of most efficient deep learning schemes, etc. This workshop seeks perspectives on leveraging the deep connection between ML and physics, but now with the goal to better understand and model physical systems, static and dynamic. We invite experts both in machine learning techniques as well as domain science applications. In this third edition of PIML we will focus on applications of interest to our LANL and DOE sponsors, specifically on improving scale-reduced, large eddy modeling and simulations of turbulence that arise in various mechanical-engineering, aerospace and climate applications; building reduced models for infrastructures (energy systems, cyber-physical systems, etc.); guiding development of inverse/design approaches in quantum physics, e.g. related to tensor networks; designing new computational paradigms (such as related to quantum and neuromorphic computing). The workshop discussions are aimed towards approaches and methods for physical modeling applications where a big-data, black-box approach to ML is only a starting point. We seek participants who may suggest innovative approaches that extend application agnostic ML techniques by incorporating complex constraints imposed by physical principles (e.g. conservation laws, causality, symmetries, entropy principles and related). The workshop format assumes 7 talks a day, late afternoon discussions and poster session. We encourage application of young researchers for fellowships (see website for details). We plan for active participation of LANL researchers and program managers across directorates and divisions interested in the physics informed learning. This emerging area of research has many aspects of computational co-design, and draws on LANL's strengths in statistical physics, modern applied mathematics, theoretical and applied computer science, infrastructure modeling and simulations, fluids and materials modeling, and high performance computing. Looking forward, we view physics informed learning as a viable path for LANL and DOE toward truly predictive multi-scale modeling, optimization, inference and leading for plethora of relevant applications in sciences and engineering. *Organizing Committee:* Michael Chertkov (University of Arizona) Andrey Lokhov (Los Alamos National Laboratory) Arvind Mohan (Los Alamos National Laboratory) [image: bed3f21384084acb905f2c173a3fa658.jpg]

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seminario Claudio Macci a Pisa
by Dario Trevisan 28 Oct '19

28 Oct '19

Dear all, this is to announce the following research talk by Claudio Macci, to be held in Pisa. PLACE: Sala Seminari, Dipartimento di Matematica, Università di Pisa (first floor). DATE & TIME: Wednesday, Nov 6, 2019, 3 PM SPEAKER: Claudio Macci (Università Roma Tor Vergata) TITLE: Multivariate fractional (possibly compound) Poisson processes ABSTRACT: we present multivariate space-time fractional Poisson processes by considering common random time-changes of a finite-dimensional vector of independent classical (nonfractional) Poisson processes. In some cases we also consider compound processes. We obtain some equations in terms of some suitable fractional derivatives and fractional difference operators, which provides the extension of known equations for the univariate processes. In particular we show that, for each fixed $t\geq 0$, the conditional joint distribution of the components given their sum is multinomial, as happens for the nonfractional Poisson processes. Thus we consider a suitable multivariate "alternative" fractional Poisson process, and we study its asymptotic behavior for large times (large and moderate deviations). The results appear in two papers with Luisa Beghin. Best, Dario -- Dario Trevisan, Università degli Studi di Pisa, Dipartimento di Matematica, Largo Bruno Pontecorvo 5, 56127 - Pisa (PI) Italy telephone: (+39) 050 2213832 mobile: (+39) 331 2899761 Skype: dario-trevisan e-mail: dario.trevisan AT unipi.it webpage: http://people.dm.unipi.it/trevisan/

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assegno di ricerca - Pavia
by Enrico Priola 28 Oct '19

28 Oct '19

Cari colleghi, segnalo l'assegno di ricerca, SSD MAT/06 (Probabilità e Statistica Matematica), titolo: "Processi Stocastici'' (scadenza 27/11/2019) http://bandi.miur.it/bandi.php/public/fellowship/id_fellow/164453 L'assegno è bandito all'interno del progetto di eccellenza MIUR presso il Dipartimento di Matematica dell'Università di Pavia. Grazie per l'attenzione. Enrico Priola -- Enrico Priola Dipartimento di Matematica, Università di Pavia Via Adolfo Ferrata 5, 27100 Pavia tel +39 0382 985639

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Cambio aula - Colloquium di Lorenzo Zambotti a Milano-Bicocca (lunedì 28 ottobre)
by Francesco Caravenna 25 Oct '19

25 Oct '19

Comunico il seguente cambio di edificio / aula: Il colloquium di Lorenzo Zambotti a Milano-Bicocca, lunedì 28 ottobre 2019 ore 16:00, si terrà nell'aula U3-07 dell'edificio U3 (piano terra, Piazza della Scienza), 5 minuti a piedi dal Dipartimento di Matematica e Applicazioni. Il colloquium sarà seguito da un rinfresco. Segue l'annuncio completo. Francesco Caravenna %%%%%%%%%%%%%%%%%%%%%%%%%%%% Colloquium del Dipartimento di Matematica e Applicazioni, Università di Milano-Bicocca & Seminario Matematico e Fisico di Milano Lorenzo Zambotti (Sorbonne Université, Paris) "Regularity structures: from physics to probability, from analysis to algebra, from combinatorics to geometry" lunedì 28 ottobre 2019 ore 16:00, aula U3-07, edificio U3 (piano terra, Piazza della Scienza, Milano) Abstract: In this talk I wish to present some of the ideas at the heart of the theory of regularity structures (RS), introduced by Martin Hairer in 2014. RS are perhaps best described as a theory of Taylor expansions in a fractal (random) setting. I plan to show how this theory is based on a fascinating interplay between several different disciplines, as announced by my title. %%%%%%%%%%%%%%%%%%%%%%%%%%%% -- _________________________________________ Francesco Caravenna Dipartimento di Matematica e Applicazioni Università degli Studi di Milano-Bicocca Via Cozzi 55, 20125 Milano, Italy http://www.matapp.unimib.it/~fcaraven/ _________________________________________

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