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Seminario Ying HU
by Marco Fuhrman 05 Jun '15

05 Jun '15

>Il giorno > >giovedi' 11 giugno 2015 alle ore 10:00 > >nell'aula seminari al terzo piano del Dipartimento di Matematica >del Politecnico di Milano, il prof. > >Ying HU > >dell'IRMAR - Universite' de Rennes 1, terra' un seminario >dal titolo > >BSDEs with mean reflection > >(joint work with Ph. Briand and R. Elie). > >Tutti gli interessati sono cordialmente invitati. > >Marco Fuhrman

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Fwd: PhD studentships in Statistical Sciences - University of Padova
by Marco Romito 05 Jun '15

05 Jun '15

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seminario Teemu Pennanen in Bicocca
by Fabio Bellini 05 Jun '15

05 Jun '15

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Bando per n. 1 Assegno di Ricerca - Università degli Studi di Verona
by Simone Accordini 05 Jun '15

05 Jun '15

----------------------------------------------------------- *Bando per n. 1 Assegno di Ricerca - Università degli Studi di Verona* ----------------------------------------------------------- E’ indetta la selezione AdR2489/15 per il conferimento di n. 1 assegno di ricerca nel settore scientifico-disciplinare MED/01 STATISTICA MEDICA, dal titolo: “*Sviluppo di modelli statistici per analisi transgenerazionali*” (finanziato dalla Commissione Europea nell’ambito del programma Horizon 2020, progetto “Aging Lungs in European Cohorts - ALEC”). L’assegno di ricerca è finalizzato allo sviluppo di modelli statistici avanzati per identificare fattori di rischio della ridotta funzionalità polmonare, operanti tra più generazioni e a differenti stadi di sviluppo all'interno delle diverse generazioni. Sede: Sezione di Epidemiologia e Statistica medica, Dipartimento di Sanità Pubblica e Medicina di Comunità, Università degli Studi di Verona, Verona Durata dell’assegno: 24 mesi *Scadenza per la presentazione della domanda: 22/06/2015* LINK BANDO: http://www.univr.it/main?ent=albo Per ulteriori informazioni sul programma di ricerca: Prof. Simone Accordini, Sezione di Epidemiologia e Statistica medica, Dipartimento di Sanità Pubblica e Medicina di Comunità, Università degli Studi di Verona, Verona; Tel: 045/8027657; Email: simone.accordini(a)univr.it ------------------------------------------------ Cordiali saluti Simone Accordini Professore Associato in Statistica Medica Sezione di Epidemiologia e Statistica medica Dipartimento di Sanità Pubblica e Medicina di Comunità Università degli Studi di Verona c/o Istituti Biologici II Strada Le Grazie, 8 37134 Verona - Italy

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Seminars in Padova (Profs. Pagès and Sagna)
by Giorgia Callegaro 05 Jun '15

05 Jun '15

Dear all, two presentations/seminars in Mathematics/Probability applied to Finance will be given by Profs Gilles Pagès (LPMA, Paris) and Abass Sagna (ENSIIE, Evry) next Wednesday, the 10th June 2015, from 11am to 13 am, in room 1BC45 in "Torre Archimede" (Dep. of Mathematics, University of Padova). Titles and abstracts follow: *SEMINAR 1* *Speaker 1*: Prof. Gilles Pagès (LPMA, Paris) *Title* : Greedy vector quantization (joint work with H. Luschgy) *Abstract (en Latex) *: We investigate the greedy version of the $L^p$-optimal vector quantization problem for an $\R^d$-valued random vector $X\!\in L^p$. We show the existence of a sequence $(a_N)_{N\ge 1}$ such that $a_N$ minimizes $a\mapsto\big \|\min_{1\le i\le N-1}|X-a_i|\wedge |X-a|\big\|_{L^p}$ ($L^p$-mean quantization error at level $N$ induced by $(a_1,\ldots,a_{N-1},a)$). We show that this sequence produces $L^p$-rate optimal $N$-tuples $a^{(N)}=(a_1,\ldots,a_{_N})$ ($i.e.$ the $L^p$-mean quantization error at level $N$ induced by $a^{(N)}$ goes to $0$ at rate $N^{-\frac 1d}$). Greedy optimal sequences also satisfy, under natural additional assumptions, the distortion mismatch property: the $N$-tuples $a^{(N)}$ remain rate optimal with respect to the $L^q$-norms, $p\le q <p+d$. Finally, we propose optimization methods to compute greedy sequences, adapted from usual Lloyd's and Competitive Learning Vector Quantization procedures, either in their deterministic (implementable when $d=1$) for stochastic versions. *SEMINAR 2* *Speaker 2*: Prof. Abass Sagna (ENSIIE, Paris) *Title*: Recursive Quantization of An Euler Diffusion Process and Its Application to Finance *Abstract (en Latex):* We propose a new approach to quantize the marginals of the discrete Euler diffusion process. The method is built recursively and involves the conditional distribution of the marginals of the discrete Euler process. Analytically, the method raises several questions like the analysis of the induced quadratic quantization error between the marginals of the Euler process and the proposed quantizations. We show in particular that at every discretization step $t_k$ of the Euler scheme, this error is bounded by the cumulative quantization errors induced by the Euler operator, from times $t_0=0$ to time $t_k$. Numerical tests are carried out for the Brownian motion and for the pricing of European options in a local volatility model. A comparison with the Monte Carlo simulations shows that the proposed method may sometimes be more efficient (w.r.t. both computational precision and time complexity) than the Monte Carlo method. Thanks for your attention, Giorgia Callegaro -- Giorgia Callegaro Assistant Professor Department of Mathematics - University of Padova Via Trieste 63 , I-35121 Padova - ITALY Tel: +39-0498271481 Fax: +39-0498271499 E-Mail: gcallega(a)math.unipd.it <https://webmail.math.unipd.it/horde3/imp/message.php?mailbox=Sent&index=598#> Personal web-page: https://sites.google.com/site/giogiocallegaro/Home

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Fwd: Commercial Research Associate, University of Bath, UK
by Alessandra Micheletti 04 Jun '15

04 Jun '15

**Apologies for cross posting** I'd be very grateful if you could forward this job advert to anyone who you think might be interested in the opportunity. --------------------------------------------------------------------------------------------------------------------- Mathematician or statistician interested in using your skills to work on real problems? The Bath Institute for Mathematical Innovation is seeking a Commercial Research Associate to join its Commercial Research Centre! The successful applicant will work with the CRC team to solve short-to-medium research problems for commercial and industrial clients, with the intellectual support of the academics involved with the Institute. For more information on the vacancy (deadline 14th June) and the Institute for Mathematical Innovation please see http://www.bath.ac.uk/jobs/Vacancy.aspx?ref=SS3182 and http://www.bath.ac.uk/imi/ or feel free to contact me for an informal discussion. Best wishes, Jo Dr Joanna Jordan Commercial Research Centre Manager Bath Institute for Mathematical Innovation j.f.jordan(a)bath.ac.uk -- ------------------------------------ Alessandra Micheletti Associate Professor - Probability and Mathematical Statistics Dept. of Mathematics Università degli Studi di Milano via Saldini 50, 20133 Milano, Italy phone: +39-02503-16130 fax: +39-02503-16090 http://users.mat.unimi.it/users/michel <http://www.mat.unimi.it/users/michel>

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Fwd: FW: jobadvertisement/Eichelsbacher
by Giovanni Luca Torrisi 04 Jun '15

04 Jun '15

-------- Original Message -------- Subject: FW: jobadvertisement/Eichelsbacher Date: Thu, 4 Jun 2015 03:46:39 +0000 From: Tan Eileen <imste(a)nus.edu.sg> CC: 'peter.eichelsbacher(a)rub.de' <peter.eichelsbacher(a)rub.de> Dear All, Forwarded as request by Prof Peter Eichelsbacher. Thanks once again for your support for the Steins workshop. Regards, Eileen (Ms):: Institute for Mathematical Sciences :: National University of Singapore :: 3 Prince George's Park, Singapore 118402 :: +65-6516 1892(DID) :: +65-6873 8292 (Fax) :: imste(a)nus.edu.sg <mailto:imswwy@nus.edu.sg> (E) :: http://www2.ims.nus.edu.sg <http://www2.ims.nus.edu.sg> (W):: Company Registration No: 200604346E *From:*Peter Eichelsbacher [mailto:peter.eichelsbacher@ruhr-uni-bochum.de] *Sent:* Wednesday, 3 June, 2015 7:42 PM *To:* Tan Eileen *Subject:* jobadvertisement/Eichelsbacher Dear Eileen, could you be so kind as to circulate the job advertisement (the enclosed pdf) to all participants of the Stein meeting “New directions in Stein’s method”. I have mentioned my new research group in my talk in Singapore and the job advertisement seem to be of interest for most of the participants. Many thanks in advance and best regards Peter Eichelsbacher Peter Eichelsbacher peter.eichelsbacher(a)ruhr-uni-bochum.de <mailto:peter.eichelsbacher@ruhr-uni-bochum.de> ------------------------------------------------------------------------ Important: This email is confidential and may be privileged. If you are not the intended recipient, please delete it and notify us immediately; you should not copy or use it for any purpose, nor disclose its contents to any other person. Thank you.

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SEMINARIO - Martedi 9 giugno, 2015 h 17.30
by Consonni Guido 03 Jun '15

03 Jun '15

? Lake Como School of Advanced Studies, Dipartimento di Scienze Statistiche - Università Cattolica del Sacro Cuore, CNR-IMATI SEMINARIO Villa del Grumello, Como Martedi 9 giugno, 2015 h 17.30 Jeff Gill, Washington University in St Louis To be Bayesian, or not to be: that is the question in the social sciences In this talk I will outline the basics of Bayesian inference, discuss why quasi-frequentist approaches fail in the social sciences, and give some examples of Bayesian data analysis. The emphasis is on general concepts and statistical intuition rather than mathematical details. Villa del Grumello; Via per Cernobbio, 11 22100 Como Per motivi organizzativi si invita a comunicare la propria partecipazione al seguente indirizzo: nadia.tansini(a)fondazionealessandrovolta.it<mailto:nadia.tansini@fondazionealessandrovolta.it> ? ________________________________ ________________________________ Ricerca, Formazione, Assistenza, Cooperazione e Sviluppo: 5 ragioni per metterci la firma. Sottoscrivi il tuo 5 per mille a favore dell'Università Cattolica e ci aiuterai a sostenere borse di studio, ricerca scientifica, progetti medico-assistenziali e sociali dell'Ateneo e del Policlinico "A. Gemelli". Info: www.unicatt.it/5permille<http://www.unicatt.it/5permille/> ________________________________

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Matematica e Innovazione nei processi produttivi
by DI NARDO Elvira 03 Jun '15

03 Jun '15

La piattaforma Mathesia - sviluppata da MOXOff (spin-off del Politecnico di Milano) e Yottacle (startup di PoliHub) offre soluzioni di alto profilo grazie alla matematica applicata. SolEthEn, in collaborazione con il Dipartimento di Matematica, Informatica ed Economia dell’UniBas, propone alle aziende lucane e agli specialisti di settore un incontro di approfondimento sui temi: “MATEMATICA E INNOVAZIONE NEI PROCESSI PRODUTTIVI - MATHESIA: La piattaforma di crowdsourcing che risponde alle sfide di business con la matematica applicata”. L’evento e' realizzato col patrocinio: - della Camera di Commercio di Potenza, - di Confindustria Basilicata - della Regione Basilicata, e si terra' presso la Camera di Commercio di Potenza – Corso XVIII Agosto, 34 - giovedi' 4 giugno c.a. a partire dalle 15:30. All’evento interverranno: - “Opening dell’incontro” - Avv. Michele Somma (Presidente della Camera di Commercio di Potenza) e Prof. Giansalvatore Mecca (Prorettore con delega alla ricerca dell’UniBas) - “La matematica come strumento strategico di innovazione per l’impresa” - Paola Curci (Amministratore di SolEthEn) - “Conoscere per competere: istruzioni per l’uso delle competenze di un Dipartimento di Matematica” - Prof.ssa Elvira Di Nardo (Docente di statistica presso UniBas) - “Mathesia un nuovo modo per favorire la relazione tra imprese e mondo della ricerca” - Ottavio Crivaro (Amministratore di MOXOff) Agli interventi seguira' uno spazio di dibattito dove le aziende presenti, avranno modo di esporre bisogni/esigenze industriali specifiche o di settore che rappresentano potenziali sfide da risolvere attraverso gli strumenti presentati. Per partecipare all’evento e' preferibile registrarsi al seguente indirizzo http://www.mathesia.com/presentation/ -- ...................................................... Elvira Di Nardo Dept. Mathematics, Computer Science and Economics University of Basilicata Viale dell'Ateneo Lucano 10 I-85100 (Potenza) alternative address: dinardo.el(a)gmail.com (room) +390971205890 (cell.) +393470033068 (fax) + 390971205896 (skype) elvira.di.nardo (web) http://oldwww.unibas.it/utenti/dinardo/home.html ......................................................

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Vacancy: Ph.D. position “Two-dimensional models in queues and risk: exact analytic methods” at Eindhoven University of Technology, The Netherlands
by Kapodistria, S. 03 Jun '15

03 Jun '15

Ph.D. position : “Two-dimensional models in queues and risk: exact analytic methods” In the framework of the project “Two-dimensional models in queues and risk”, funded by the Dutch Research Foundation NWO, there is a PhD position available in the Stochastic Operations Research group at the Department of Mathematics and Computer Science in Eindhoven University of Technology, in The Netherlands. The research topic brings together two, related, areas of applied probability: queueing theory and insurance risk. In both areas, one-dimensional stochastic processes are well understood. However, in queueing theory one is usually faced with a network of interconnected and interacting resources, or with several classes of interacting customers; and thus one needs to study multidimensional stochastic processes. Similarly, in insurance risk one often needs to study several, related, books of a company, and the capitals of different companies are often linked via reinsurance contracts -- again giving rise to multidimensional stochastic processes. In both areas, only few two- or higher-dimensional systems have allowed an exact analysis. Our main goal is to develop mathematical tools for the analysis of two-dimensional stochastic processes, and thus get a deeper insight into the intricate interactions which occur in, e.g., queueing systems and insurance risk processes. The project is methodologically oriented. We shall develop three sets of methods, viz., T1: exact analytic methods; T2: asymptotic techniques (heavy traffic); and T3: rare-event analysis and simulation. Important problem instances are coupled/parallel processors and their counterpart in insurance risk, and Ornstein-Uhlenbeck processes. Two PhD students have just started their research in T2 and T3; we have a vacancy for T1. o Job requirements: Candidates are expected to be fluent in English, both oral and in writing, and have an excellent background in (applied) mathematics, as evidenced by an MSc degree in preferably (applied) mathematics, or possibly econometrics, operations research or electrical engineering. Strong knowledge of applied probability and analysis is highly desirable. o Terms of employment: PhD candidates are appointed as temporary university employees for a four-year period (based on an initial one-year contract, with a three-year extension after a positive evaluation as to whether the research is expected to result in a PhD degree after four years). The terms of employment are governed by the Collective Labor Agreement of Universities in The Netherlands, with a monthly salary starting at 2083 Euro in the first year, and increasing to 2664 Euro in the fourth year, and an additional 8% holiday allowance and 8% end-of-year bonus. For further details, please refer, e.g., to http://w3.tue.nl/en/services/dpo/conditions_of_employment/tue_conditions_of… o Information: For further information, please contact one of the following persons: Prof.dr.ir. Onno Boxma (o.j.boxma(a)tue.nl<mailto:o.j.boxma@tue.nl>) Dr. Stella Kapodistria (s.kapodistria(a)tue.nl<mailto:s.kapodistria@tue.nl>) Prof.dr. Sindo Nunez Queija (nunezqueija(a)uva.nl<mailto:nunezqueija@uva.nl>) o Application: In order to apply, please send a detailed curriculum vitae, along with a brief cover letter motivating your interest, to one of the above-mentioned persons. o Application deadline: July 3 2015.

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