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CALL FOR PAPERS: GDRR 2017 - Games and Decisions in Reliability and Risk
by fabrizio＠mi.imati.cnr.it 06 Feb '17

06 Feb '17

GDRR 2017 - 5th Symposium on Games and Decisions in Reliability and Risk Spanish Royal Academy of Sciences - Madrid, Spain June 7-9th, 2017 Following the meetings in Washington by George Washington University (2009), in Belgirate by CNR IMATI (2011), in Kinsale by Trinity College Dublin (2013), and in Istanbul by Yeditepe University (2015), the Fifth Symposium on Games and Decisions in Reliability and Risk (GDRR 2017) will take place in Madrid during June 7-9, 2017. The symposium is organised by ICMAT-CSIC and the Spanish Royal Academy of Sciences and is supported by ISBA and I2SDS at George Washington University. The objective of the symposium is to present novel uses of game and decision theory in reliability and risk analysis and to bring together researchers from diverse disciplines such as economics, engineering, finance, mathematics, medical sciences, probability and statistics. All sessions at this symposium will be plenary, with a mix of invited and contributed presentations. Some preliminary information about the symposium can be found at the web site: http://www.methaodos.org/congresos-methaodos/index.php/gdrr/GDRR17/ Authors interested in presenting a contributed talk are kindly invited to send a title and an abstract by e-mail to gdrr2017(a)icmat.es, by March 31st, 2017. A poster session is planned only if there will be a large number of submissions. A special issue of Applied Stochastic Models in Business and Industry http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1526-4025 is planned on the theme of GDRR. Best regards Fabrizio Ruggeri (on behalf of the Scientific Committee) -- Fabrizio Ruggeri fabrizio AT mi.imati.cnr.it CNR IMATI tel +39 0223699532 Via Bassini 15 fax +39 0223699538 I-20133 Milano (Italy) web.mi.imati.cnr.it/fabrizio

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prova tecnica
by Marco Romito 05 Feb '17

05 Feb '17

prova

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Seminario Sergio Albeverio: Asymptotic expansions, summability, SDEs and applications (DipInf - UniVr)
by Luca di persio 03 Feb '17

03 Feb '17

Mercoledì 8 Febbraio, ore 16:30 Presso: Dipartimento di Informatica (Sala Verde) Strada le Grazie, 15 https://goo.gl/maps/6mB9N2SSeqC2 Il prof. Sergio Albeverio (IAM and HCM, University of Bonn) terrà il seguente seminario Title: Asymptotic expansions, summability, SDEs and applications Abstract: Asymptotic series and Borel summability will be shortly recalled, as well as relations with the classical moment problem,with a view towards applications in the study of (S)DEs. Some examples from models of financial mathematics and mathematical physics will be discussed. Tutti gli interessati sono invitati a partecipare. Cordialmente, LuCa __ Luca Di Persio - PhD assistant professor of Probability and Mathematical Finance Dept. Informatics University of Verona strada le Grazie 15 - 37134 Verona - Italy Tel : +39 045 802 7968 Dept. Math University of Trento V. Sommarive, 14 - 38123 Povo - Italy Tel : +39 0461 281686

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seminario Emilio Porcu in Bicocca
by Fabio Bellini 03 Feb '17

03 Feb '17

ll giorno lunedì13 febbraio alle ore 11.00 presso la aula seminari del Dismeq al IV piano dell'edificio U7, il prof. Emilio Porcu del Department of Mathematics della University Federico Santa Maria di Valparaiso terrà un seminario su Estimation and Prediction using Wendland covariance functions under Infill Asymptotics Abstract We study estimation and prediction of Gaussian random fields with covariance models belonging to the generalized Wendland (GW) class, under fixed domain asymptotics. As the Matlern case, this class allows a continuous parameterization of smoothness of the underlying Gaussian random field, being additionally compactly supported. The paper is divided into two parts: first, we characterize the equivalence of two Gaussian measures with GW covariance function, and we provide sufficient conditions for the equivalence of two Gaussian measures with Matlern and GW covariance functions. We elucidate the consequences of these facts in terms of (misspecified) best linear unbiased predictors. In the second part, we establish strong consistency and asymptotic distribution of the maximum likelihood estimator of the microergodic parameter associated to GW covariance model, under fixed domain asymptotics. Our findings are illustrated through a simulation study: the former compares the finite sample behavior of the maximum likelihood estimation of the microergodic parameter with the given asymptotic distribution. The latter compares the finite-sample behavior of the prediction and its associated mean square error when using two equivalent Gaussian measures with Matlern and GW covariance model, using covariance tapering as benchmark. Tuti gli interessati sono invitati a partecipare.

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Summer school on "Mathematical Modelling in Life Sciences" in Pisa - save the date
by Luigi Amedeo Bianchi 02 Feb '17

02 Feb '17

Dear all, this is the first announcement for the summer school on *Mathematical Modelling in Life Sciences*, to be held at the Centro di Ricerca Matematica "E. De Giorgi" in Pisa, Italy, from September 13th to September 15th, 2017. The aim of the school is to introduce and discuss some recent developments in analytical and probabilistic modelling for life sciences. The school will feature two main courses, by *Benoit Perthame* (Université Pierre et Marie Curie in Paris) and *Sylvie Méléard* (Ecole Polytechnique Université Paris- Saclay), as well as additional lectures by *François Delarue* (Université de Nice). There will also be a limited number of short contributed talks by some of the participants. This summer school is intended for PhD students and young researchers, but open for everyone. Registration to the school is free, but compulsory for organisatorial purposes. Some funds are available to offer financial support to a limited number of selected students and young researchers (post-docs). The deadline for application is 29th June 2017.This school would not have been possible, without the support by Centro di Ricerca Matematica "E. De Giorgi", Università di Pisa and GNAMPA-INdAM. More information and the registration form are available on the website http://www.crm.sns.it/event/409/ We are looking forward to seeing you in Pisa. The organisers, Lisa Beck, Luigi Amedeo Bianchi, Dirk Blömker, Franco Flandoli, Marco Romito, Dario Trevisan

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position as Teaching Assistants
by Davide Erminio Pirino 02 Feb '17

02 Feb '17

Three positions as "Teaching Assistant", Faculty of Economics, University of Rome Tor Vergata. Deadline February, 9, 2017. http://economia.uniroma2.it/def/selezioni-e-bandi/175-619/bando-coadiutori-…

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Seminario Thomassey DipMat@UniTo
by Roberta Sirovich 01 Feb '17

01 Feb '17

********************************************************************* SEMINARI DI PROBABILITA' E STATISTICA MATEMATICA DIPARTIMENTO DI MATEMATICA "G. PEANO" UNIVERSITA' DEGLI STUDI DI TORINO ********************************************************************* *Giovedì 9 Febbraio 2017 alle ore 11:00 in Aula C* presso il Dipartimento di Matematica "G. Peano" dell'Università degli Studi di Torino, Via Carlo Alberto 10, si svolgerà il seguente seminario Sales forecasting in fashion industry: main issues and opportunities Sébastien Thomassey ENSAIT – Lille 1 University Roubaix – France *Abstract *The fashion industry is a very challenging market for the sales forecasting. Indeed, the volatile demand, the strong seasonality of sales, the wide number of items with short life cycle or the lack of historical data, make the traditional forecasting models, based on time series, unsuitable or at least very difficult to implement. Therefore, researchers and practitioners have investigated other techniques such as Artificial Intelligence. The emergence of the “big data” era has also opened new opportunities and generated new issues. In this presentation, we propose an overview of the different constraints related to the sales forecasting in the fashion industry. Some examples are introduced to illustrate the problematics and the potential solutions. Finally, the new opportunities which could be explored are discussed. -- --------------------------------------------------- Roberta Sirovich Department of Mathematics G. Peano University of Torino Via Carlo Alberto 10 10123 Torino (Italy) +390116702937 www.robertasirovich.it <http://www.personalweb.unito.it/roberta.sirovich/EN/Home.html> ---------------------------------------------------

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Fwd: conference announcement: "Statistical mechanics, random planar geometry and interacting random walks", Lyon, June 6-9, 2017
by Francesco Caravenna 30 Jan '17

30 Jan '17

Ricevo e inoltro. > Da: Fabio Toninelli <toninelli(a)math.univ-lyon1.fr> > Oggetto: conference announcement: "Statistical mechanics, random planar geometry and interacting random walks", Lyon, June 6-9, 2017 > Data: 30 gennaio 2017 11:32:30 GMT+01:00 > > > Dear colleagues, > > We are glad to announce the forthcoming workshop: > > "Statistical Mechanics, random planar geometry and interacting random walks" > > to be held on June 6-9, 2017 at the University Lyon 1, France. This workshop will be part of the thematic trimester "ProbabLYon" in probability theory (http://math.univ-lyon1.fr/~garban/ProbabLYon/) > > A list of speakers is avaible on the web-page > > http://math.univ-lyon1.fr/~garban/StatMech2017/ > > Registration is free but mandatory, and should be done here: > > https://indico.math.cnrs.fr/event/1958/registration/register#/register > > Graduate students, postdocs and early career researchers are encouraged to apply. Some financial support is available. Junior participants who wish to apply for financial support should do so before April 15th. and should arrange for a short support letter to be sent by e-mail by their supervisor to the organizers. > > Do not hesitate to forward this announcement to your potentially interested colleagues. > > Best regards, > Christophe Garban, Christophe Sabot, Fabio Toninelli > > Fabio Toninelli > Institut Camille Jordan, Universite' Lyon 1 > 43 bd du 11 novembre 1918 > 69622 Villeurbanne Cedex, France > > Office 105, tel: +33 (0) 4 26 23 44 41

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Numerical methods for stochastic models: control, uncertainty, quantification, mean-field
by Tiziano Vargiolu 30 Jan '17

30 Jan '17

Numerical methods for stochastic models: control, uncertainty quantification, mean-field July 17 - August 25, CIRM, Marseille http://smai.emath.fr/cemracs/cemracs17/ The goal of this event is to bring together scientists from both the academic and industrial communities and discuss these topics. During the first week, a classical summer school is proposed. It consists of several lectures given by leading scientists and related to the topics of the research projects. The remaining 5 weeks are dedicated to working on the rechearch projects, possibly after a morning seminar. Cemracs'17 will be the twenty-second of the series, devoted this year to the study of advanced numerical methods for the analysis of stochastic models associated with stochastic control problems, uncertainty propagation analysis or mean-field type interaction phenomena. These models are echoes many industrial applications (production optimization systems, life sciences, neuroscience, geophysics, fluid mechanics, risk management in finance, etc.). The main difficulty is the non-linearity or the high dimension of the problems encountered in practice. -- Stefano Pagliarani, DEAMS, Universit? di Trieste Via Tigor 22, 34124 Trieste, Italy Cell. Phone +39 338 1447398 stepagliara1(a)gmail.com, stefano.pagliarani(a)deams.units.it http://www.cmap.polytechnique.fr/~pagliarani/

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Seminario Thomassey @UniTo
by Roberta Sirovich 30 Jan '17

30 Jan '17

********************************************************************* SEMINARI DI PROBABILITA' E STATISTICA MATEMATICA DIPARTIMENTO DI MATEMATICA "G. PEANO" UNIVERSITA' DEGLI STUDI DI TORINO ********************************************************************* *Giovedì 9 Febbraio 2017 alle ore 11:00 in Aula C* presso il Dipartimento di Matematica "G. Peano" dell'Università degli Studi di Torino, Via Carlo Alberto 10, si svolgerà il seguente seminario Sales forecasting in fashion industry: main issues and opportunities Sébastien Thomassey ENSAIT – Lille 1 University Roubaix – France *Abstract *The fashion industry is a very challenging market for the sales forecasting. Indeed, the volatile demand, the strong seasonality of sales, the wide number of items with short life cycle or the lack of historical data, make the traditional forecasting models, based on time series, unsuitable or at least very difficult to implement. Therefore, researchers and practitioners have investigated other techniques such as Artificial Intelligence. The emergence of the “big data” era has also opened new opportunities and generated new issues. In this presentation, we propose an overview of the different constraints related to the sales forecasting in the fashion industry. Some examples are introduced to illustrate the problematics and the potential solutions. Finally, the new opportunities which could be explored are discussed. r. -- --------------------------------------------------- Roberta Sirovich Department of Mathematics G. Peano University of Torino Via Carlo Alberto 10 10123 Torino (Italy) +390116702937 www.robertasirovich.it <http://www.personalweb.unito.it/roberta.sirovich/EN/Home.html> ---------------------------------------------------

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