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Fwd: Open Position as a Scientific Employee at Ulm University (fwd)
by Tiziano Vargiolu 03 May '16

03 May '16

----- Forwarded message from Robert Stelzer <robert.stelzer(a)uni-ulm.de> ----- Date: Tue, 3 May 2016 15:33:10 +0200 From: Robert Stelzer <robert.stelzer(a)uni-ulm.de> Subject: Open Position as a Scientific Employee at Ulm University To: Robert Stelzer <robert.stelzer(a)uni-ulm.de> Dear Colleagues and Friends, please find below and attached the announcement for an open position as a scientific employee (Postdoc or PhD level) at the Institute of Mathematical Finance at Ulm University. It would be very kind if you would bring it to the attention of possible candidates. Best Regards, Robert (Stelzer) The Institute of Mathematical Finance at the Faculty of Mathematics and Economics of Ulm University invites applications for one non-permanent position as a Scientific Employee (E13 TV-L) starting October 1st, 2016, according to the rules of the German law for non-permanent scientific positions (Wissenschaftszeitvertragsgesetz). Prerequisite is a very good master degree in a mathematical field of study or a comparable degree, and interest in future research in at least one of the areas Financial Mathematics, Financial Econometrics, Statistics of Stochastic Processes, Stochastic Analysis, Stochastic Optimal Control, Stochastic Processes or Time Series Analysis. The opportunity for further scientific qualification (Habilitation/PhD) is given. The duties include contributing to the teaching activities of the institute. For a full position the teaching duty is four hours per week during the teaching period. The language of the courses is usually English. Thus no knowledge of German is initially necessary. Candidates with a completed PhD are going to be employed on a full position, otherwise candidates will be employed on a partial position according to individual agreement. The contract duration will be in accordance with the qualificaion aim. The Ulm University is committed to increase the share of women in research and teaching positions and therefore explicitly encourages female candidates to apply. Please send your application with the usual documents until May 31st, 2016, preferably in electronic form to Ulm University Prof. Dr. Robert Stelzer Institute of Mathematical Finance Helmholtzstra?e 18 89081 Ulm, Germany E-Mail: robert.stelzer(a)uni-ulm.de Please indicate the index number 51 on the envelope or in the reference line of the email. Job sharing is always possible for full time positions. Physically disabled applicants receive favourable consideration when equally qualified. The appointment is made by the central university administration. -- +++++++++++++++++++++++++++++++++++++++++ Prof. Dr. Robert Stelzer Institute of Mathematical Finance Ulm University Helmholtzstra?e 18 89081 Ulm Germany Phone: +49 731 50 23520 Fax: +49 731 50 31096 Email: robert.stelzer(a)uni-ulm.de http://www.uni-ulm.de/mawi/finmath/people/stelzer.html ----- End forwarded message -----

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Seminario NICKL
by Matteo Ruggiero 03 May '16

03 May '16

******************************************************************* STATISTICS SEMINARS @ COLLEGIO CARLO ALBERTO ******************************************************************* Venerdi 6 Maggio 2016 alle ore 16:00, presso l’Aula Rossa del Collegio Carlo Alberto, Moncalieri (TO), si terra' il seguente seminario: Richard NICKL (University of Cambridge) NONPARAMETRIC BAYESIAN INFERENCE FOR DISCRETELY SAMPLED DIFFUSIONS We consider the nonlinear statistical inverse problem of making inference on the unknown parameters of a diffusion process describing the solution of a stochastic differential equation. The observation regime is such that the process is sampled at discrete time points that are a fixed distance apart, and we investigate the asymptotic regime when more samples accrue in the time horizon (thus avoiding unrealistic `high frequency’ assumptions). We shall briefly review frequentist estimation techniques and then turn to Bayesian nonparametric approaches to the problem, which have recently been shown to be computationally tractable (work of A. Stuart, G. Roberts and co-authors). A theory of frequentist contraction rates for the posterior distribution has been elusive for several years, and we present first rigorous, minimax optimal contraction rates for posterior distributions arising from natural prior distributions on infinite-dimensional parameter spaces on the drift and diffusion coefficient. We will discuss what can be learnt from these results for the choice of prior in such problems, as well as for the Bayesian analysis of general nonlinear inverse problems. In the proofs we obtain some new (functional) concentration inequalities for additive functionals of Markov chains arising from diffusions that are of independent interest. This is joint work with Jakob Soehl (Cambridge), see http://arxiv.org/abs/1510.05526 Tutti gli interessati sono invitati a partecipare. Il seminario e' organizzato dalla "de Castro" Statistics Initiative (http://www.carloalberto.org/stats) in collaborazione con il Collegio Carlo Alberto. Cordiali saluti, Matteo Ruggiero --- Matteo Ruggiero University of Torino and Collegio Carlo Alberto www.matteoruggiero.it

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PhD Studentships in Statistical Sciences - University of Padova, Italy
by Patrizia Piacentini - PhD 03 May '16

03 May '16

Seven PhD studentships will be available at University of Padova for candidates interested in the area of *Statistical Sciences* (*start of activities: October 1st, 2016*). *Eligibility* The studentship 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 2016). Admission is decided on the basis of qualifications only and does not require an entry examination. *Award* The award will be for three years, subject to satisfactory progress, at the following rate: annual grant of euros 13.638,47 with a start date of 1 October 2016. *How to apply* The call will be published on *May 17 (deadline June 16)* 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 *Applications are only accepted online* *Further information* See http://www.stat.unipd.it/fare-ricerca/ammissione or contact phd(a)stat.unipd.it Kindest regards, Monica Chiogna PhD Course Coordinator

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CIME-EMS Summer School on Singular Random Dynamics
by FRANCO FLANDOLI 03 May '16

03 May '16

CIME-EMS Summer School on Singular Random Dynamics Cetraro (CS) - August 22 - August 27, 2016 Registration is open until end May at http://web.math.unifi.it/users/cime/ MINI-COURSES ============ Massimiliano Gubinelli (IAM, Bonn) Applications of controlled paths to problems in stochastic analysis Martin Hairer (Univ. Warwick) Stochastic PDEs and Renormalisation Panagiotis Souganidis (Univ. Chicago) Hamilton-Jacobi partial differential equations and conservation laws with rough time signals and applications Nikolay Tzvetkov (Univ. Cergy-Pontoise) On Hamiltonian partial differential equations with random initial conditions ============ We look forward to seeing you in Cetraro, Franco Flandoli, Massimiliano Gubinelli, Martin Hairer

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seminario B. Huang
by Daniela De Canditiis 03 May '16

03 May '16

Lunedì 9 Maggio 2016 alle ore 14:00, presso l’Aula 1B1 dip. SBAI Università La Sapienza di Roma, si terra' il seguente seminario: SPEAKER: Bill Hsin-Hsiung Huang, Ph.D. (Dep. Of Statistics University of Central Florida) TITLE: An Affine-Invariant Bayesian Cluster Process with Split-Merge Gibbs Sampler ABSTRACT: We develop a clustering algorithm which does not requires knowing the number of clusters in advance. Furthermore, our clustering method is rotation-, scale- and translation-invariant coordinatewise. We call it “Affine-invariant Bayesian (AIB) process”. A highly efficient split-merge Gibbs sampling algorithm is proposed. Using the Ewens sampling distribution as prior of the partition and the profile residual likelihoods of the responses under three different covariance matrix structures, we obtain inferences in the form of a posterior distribution on partitions. The proposed split-merge MCMC algorithm successfully and efficiently estimate the partition. Our experimental results indicate that the AIB process outperforms other competing methods. In addition, the proposed algorithm is irreducible and aperiodic, so that the estimate is guaranteed to converge to the posterior distribution. Tutti gli interessati sono invitati a partecipare. Cordiali saluti, Daniela De Canditiis -- Daniela De Canditiis, PhD Istituto per le Applicazioni del Calcolo "M.Picone" (CNR) via dei Taurini, 19 -- 00185 Roma, Italy tel: +39 06 49270942 fax: +39 06 4404306 http://www.iac.rm.cnr.it/~danielad/

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Kolmogorov meets Turing
by Marco Scarsini 29 Apr '16

29 Apr '16

The Kolmogorov meets Turing Workshop on Stochastics, Optimization, Algorithms, and Games will take place on May 18th, 2016 at LUISS, Viale Romania 32, Rome, room 403. https://sites.google.com/site/kolmogorovmeetsturing/ The purpose of KmT is to bring together researchers from Computer Science, Economics, Mathematics and many other fields to present and discuss research on probabilistic methods for the analysis of games, stochastic processes, and randomized algorithms. The workshop is free but we kindly ask you to register for logistic purposes. You can register at https://sites.google.com/site/kolmogorovmeetsturing/iscrizione ******************************************************* Marco Scarsini Dipartimento di Economia e Finanza LUISS Viale Romania 32 00197 Roma, ITALY URL: http://docenti.luiss.it/scarsini/

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Salzburg Workshop on Dependence Models & Copulas (DMC-Salzburg, Austria)
by Durante Fabrizio 29 Apr '16

29 Apr '16

The Salzburg workshop on Dependence Models and Copulas will take place September 19-22, 2016, in Salzburg (Austria). The workshop features Irène Gijbels (Katholieke Universiteit Leuven, BE) Erich Peter Klement (JKU Linz, AT) Roger B. Nelsen (Lewis & Clark College, Portland, US) Ludger Rüschendorf (Albert-Ludwig-Universität Freiburg, DE) Matthias Scherer (Technische Universität München, DE) as plenary speakers and includes invited sessions organized by Axel Bücher (DE), Elena Di Bernardino (FR), Fabrizio Durante (IT), Maria Rita Iacó (FR), Piotr Jaworski (PL), Ostap Okhrin (DE), and Carlo Sempi (IT) as well as various promising contributed sessions. Aiming to provide a meeting point for researchers working in the field of Dependence Modeling and Copulas the workshop comprises both, contributions with a theoretical focus as well as contributions concentrating on applied aspects. In order to stimulate the discussion of new results, ideas and applications there will be no parallel sessions. Fees are kept at a minimum: 140 € for regular participants, 80 € for PhD Students registering before the end of May (including lunches, coffee breaks and conference dinner). Registration is open already, see www.dmc-salzburg.at/Fees_and_Registration.html<http://www.dmc-salzburg.at/Fees_and_Registration.html> for details - due to an unexpectedly high number of submitted contributions only a limited number of participants not giving a talk can register (first come first serve). All relevant info can be found on the workshop homepage http://www.dmc-salzburg.at We are looking forward to welcome you in Salzburg Fabrizio Durante & Wolfgang Trutschnig

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Seminario VENTURA
by Matteo Ruggiero 28 Apr '16

28 Apr '16

******************************************************************* STATISTICS SEMINARS @ COLLEGIO CARLO ALBERTO ******************************************************************* Venerdi 29 Aprile 2016 alle ore 12:00, presso l’Aula Rossa del Collegio Carlo Alberto, Moncalieri (TO), si terra' il seguente seminario: Laura VENTURA (Università di Padova) ROBUST APPROXIMATE BAYESIAN INFERENCE The likelihood function is the basis of both frequentist and Bayesian methods. However, the stability of likelihood-based procedures requires strict adherence to the model assumptions: mild deviations from the model can lead to misleading inferential results. A possible Bayesian solution to robustness is to use a of robust pseudo likelihood, such as the quasi- and the empirical likelihoods, in the Bayes formula. However, in multiparameter problems the quasi-likelihood is cumbersome, while with small samples the empirical likelihood can be unstable. Moreover, some estimating functions can be difficult to evaluate, which rules out the use of the empirical likelihood and other existing methods (Bayesian bootstrap, Bayesian GMM, etc.). To avoid these drawbacks, in this contribution we focus on posterior distributions from robust unbiased M-estimating functions. These robust posteriors are obtained via Approximate Bayesian Computation (ABC) with the estimating functions used as summary statistics. Theory and examples with robust M-estimating functions are discussed. Tutti gli interessati sono invitati a partecipare. Il seminario e' organizzato dalla "de Castro" Statistics Initiative (http://www.carloalberto.org/stats) in collaborazione con il Collegio Carlo Alberto. Cordiali saluti, Matteo Ruggiero --- Matteo Ruggiero University of Torino and Collegio Carlo Alberto www.matteoruggiero.it

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Assegno di Ricerca presso la Libera Università di Bolzano
by Durante Fabrizio 28 Apr '16

28 Apr '16

Gent.mi Colleghi, desidero informarvi dell'uscita di un bando della Libera Università di Bolzano per 1 assegno per attività di ricerca sul tema "Nuove Prospettive per i Modelli di Dipendenza" Il Bando è consultabile al seguente link http://www.unibz.it/it/organisation/vacancies/research/assegnidiricerca/def… Scadenza presentazione delle domande: 2 maggio 2016 Cordiali saluti, Fabrizio Durante ***************************************************************** Fabrizio Durante Faculty of Economics and Management Free University of Bozen-Bolzano Piazza Università 1 - Universitätsplatz 1 I-39100 Bozen-Bolzano T: +39 04710 13493 E-mail: Fabrizio.durante(a)unibz.it<mailto:Fabrizio.durante@unibz.it> Web: sites.google.com/site/fbdurante According to the Legislative Decree No. 196/2003, you are hereby informed that this message contains confidential information that is intended only for the use of the addressee. If you are not the addressee, and have received this message by mistake, please delete it and immediately notify us. In any case you may not copy or disseminate this message to anyone. Thank you.

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Seminario (ERC Pascal) Flandoli a Tor Vergata (2 maggio, ore 12)
by Claudio Macci 27 Apr '16

27 Apr '16

Avviso di Seminario. Dipartimento di Matematica dell'Universita` di Roma "Tor Vergata" il giorno 2 maggio 2016, ore 12, in aula Dal Passo il Prof. Franco Flandoli (Universita` di Pisa) terra` un seminario su Alcuni esempi di limite zero-noise per equazioni non ben poste Abstract In questo seminario si studieranno metodi per affrontare equazioni mal poste (cioe` essenzialmente in assenza di unicita`) mediante l'aggiunta di un termine aleatorio che fara` tendere a 0. Dopo una introduzione riguardante il caso di equazioni ordinarie con fenomeno di Peano, si studieranno esempi legati a equazioni alle derivate parziali.

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