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Limit theorems and applications (SAMSOS, 2008)

L'étude des processus stochastiques est un domaine mathématique qui connait un réel développement aussi bien d'un point de vue théorique que du coté des applications. Le but de cette conférence est de proposer un panorama des résultats nouveaux sur les théorèmes limites pour les processus stochastiques (dont les techniques mise en oeuvre pourront aussi bien reposer sur le calcul stochastique ou sur différentes notions de dépendance) et sur leurs applications aux statistiques. Les supports de présentation sont disponibles sur l'Espace pédagogique interactif (http://epi.univ-paris1.fr/samos-limit-theorems-application). Recommandé à : étudiant de la discipline, chercheur - Catégorie : conférences - Année de réalisation : 2008

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Episodes

  1. 01 - Estimating the Degree of Activity of jumps in High Frequency Data - Jean JACOD

    Jean Jacod. Université Paris6. Document associé : support de présentation : http://epi.univ-paris1.fr/servlet/com.univ.collaboratif.utils.LectureFichiergw?CODE_FICHIER=1265816883468 (pdf) Ecouter l'intervention : Bande son disponible au format mp3 Durée : 51 mn

  2. 02 - Rates of convergence for minimal distances in the central limit theorem under projective criteria - Emmanuel RIO

    In this paper, we give estimates of ideal or minimal distances between the distribution of the normalized partial sum and the limiting Gaussian distribution for stationary martingale difference sequences or stationary sequences satisfying projective criteria. Applications to functions of linear...

  3. 03 - Stein's method and weak convergence on Wiener space - Giovanni PECCATI

    We will show taht one can combine Malliavin calculus with Stein's method, in order to derive explicit bounds in the Gaussian and Gamma approximations of arbitrary regular functionals of a given Gaussian field (here, the notion of regularity is in the sense of Malliavin derivability). When applied...

  4. 04 - Asymptotic results for empirical measures of weighted sums of independant random variables- Bernard BERCU

    We investigate the asymptotic behavior of a particular family of weighted sums of independent standardized random variables with uniformly bounded third moments. We prove that the empirical CDF of the resulting partial sums converges almost surely to the normal CDF. It allows us to deduce the...

  5. 05 - Group Representations and High-Resolution Central Limit Theorems for Subordinated Spherical Random Fields - Domenico MARINUCCI

    We study the weak convergence (in the high-frequency limit) of the frequency components associated with Gaussian-subordinated, spherical and isotropic random fields. In particular, we provide conditions for asymptotic Gaussianity and we establish a new connection with random walks on the the dual...

  6. 06 - Weighted power variations of fractional and iterated Brownian motions - Ivan NOURDIN

    Ivan NOURDIN. Université Paris 6. Ecouter l'intervention : Bande son disponible au format mp3 Durée : 47 mn

  7. 01 - Inverse problems for regular variation, linear filters, functional equations and a cancellation property for $\sigma$-finite measures - Gennady SAMORODNITSKY

    We study a group of related problems: the extent to which presence of regular variation of the tail of certain $sigma$-finite measures at the output of a linear filter determines the corresponding regular variation of a measure at the input to the filter. This turns out to be related to presence…

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  8. 07 - On the existence of some ARCH($\infty$) processes - Philippe SOULIER

    Philippe SOULIER Université Paris 10 Document associé : support de présentation : http://epi.univ-paris1.fr/servlet/com.univ.collaboratif.utils.LectureFichiergw?CODE_FICHIER=1207750174352 (pdf) Ecouter l'intervention : Bande son disponible au format mp3 Durée : 33 mn

  9. 02 - An estimator for the quadratic variation of mixed Brownian fractional - Esko VALKEILA

    In the work (Bender, T. Sottinen, and E. Valkeila (2006)) we show that it is possible to extend the classical Black & Scholes hedging for a class of models, where the quadratic variation is identical to the Black & Scholes model. Dzhaparidze and Spreij show in (K. Dzhaparidze, and P. Spreij...

  10. 03 - Central limit theorem for sampled sums of dependent random variables - Clémentine PRIEUR

    We prove a central limit theorem for linear triangular arrays under weak dependence conditions [1,3,4]. Our result is then applied to the study of dependent random variables sampled by a $Z$-valued transient random walk. This extends the results obtained by Guillotin-Plantard & Schneider [2]. An...

  11. 04 - Lévy-stable behavior of squares - Donatas SURGAILIS

    We introduce a new modification of Sentana's (1995) Quadratic ARCH (QARCH), the Linear ARCH (LARCH) (Giraitis et al., 2000, 2004) and the bilinear models (Giraitis and Surgailis, 2002), which can combine the following properties: (a.1) conditional heteroskedasticity (a.2) long memory (a.3) the...

  12. 06 - Multifractional random walk as fractional integral - Laure COUTIN

    Nous définissons une classe de processus multifractaux en intégrant une cascades multiplicative stationnaire contre un mouvement brownien fractionnaire. Les propriétés de scaling sont étudiées ainsi que le formalisme multifractal associé. This talk is based on a joint work with P.Abry, P.Chainais...

  13. 08 - Contraction rates of posteriors based on Gaussian - Harry VAN ZANTEN

    Contraction rates of posterior distributions on nonparametric models are derived for Gaussian process priors. We show that the convergence rate depends on the small ball probabilities of the Gaussian process and on the position of the true parameter relative to the reproducing kernel Hilbert…

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  14. 01 - Approximations and limit theory for quadratic forms of linear processes - Liudas GIRAITIS

    The paper develops a limit theory for the quadratic form $Q_{n,X}$ in linear random variables $X_1, ldots, X_n$ which can be used to derive the asymptotic normality of various semiparametric, kernel, window and other estimators converging at a rate which is not necessarily $n^{1/2}$. The theory...

  15. 02 - Numerical scheme for RBSDE - Soledad TORRES

    We propose a method for numerical approximation of Reflected Backward Stochastic Differential Equations. Is based in the approximation for the Brownian motion by a simple random walk. We prove a weak convergence. This talk is based on joint work with Miguel Martinez and Jaime San Martin. Soledad...

  16. 03 - Self-similar random fields and rescaled random balls models - Hermine BIERME

    We study generalized random fields which arise as rescaling limits of spatial configurations of uniformly scattered random balls as the mean radius of the balls tends to $0$ or infinity. Assuming that the radius distribution has a power law behavior, we prove that the centered and renormalized...

  17. 04 - Local continuity - Tommi SOTTINEN

    We propose the concept of Local Continuity that is somewhat related to directional continuity. DEFINITION: Let X and Y be, say, metric spaces. A function f from X to Y is locally continuous at point x in X if one can find an open set U(x) such that (i) x belongs to the closure of U(x), (ii) if…

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  18. 05 - Asymptotics for posterior hazards - Igor PRUNSTER

    A popular Bayesian nonparametric approach to survival analysis consists in modeling hazard rates as kernel mixtures driven by a completely random measure. A comprehensive analysis of the asymptotic behaviour of such models is provided. Consistency of the posterior distribution is investigated and...

  19. 06 - Invariance principle, multifractional Gaussian processes and long-range dependence - Renaud MARTY

    We establish an invariance principle where the limit process is a multifractional Gaussian process with a multifractional function which takes its values in (1/2, 1). Some properties, such as regularity and local self-similarity, of this process are studied. Moreover the limit process is compared...

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ABOUT THIS SHOW

L'étude des processus stochastiques est un domaine mathématique qui connait un réel développement aussi bien d'un point de vue théorique que du coté des applications. Le but de cette conférence est de proposer un panorama des résultats nouveaux sur les théorèmes limites pour les processus stochastiques (dont les techniques mise en oeuvre pourront aussi bien reposer sur le calcul stochastique ou sur différentes notions de dépendance) et sur leurs applications aux statistiques. Les supports de présentation sont disponibles sur l'Espace pédagogique interactif (http://epi.univ-paris1.fr/samos-limit-theorems-application). Recommandé à : étudiant de la discipline, chercheur - Catégorie : conférences - Année de réalisation : 2008

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Produced by Universite Paris 1 Pantheon-Sorbonne

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Limit theorems and applications (SAMSOS, 2008) currently has 21 episodes available on PodParley. New episodes are automatically indexed when they're published to the podcast feed.

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L'étude des processus stochastiques est un domaine mathématique qui connait un réel développement aussi bien d'un point de vue théorique que du coté des applications. Le but de cette conférence est de proposer un panorama des résultats nouveaux sur les théorèmes limites pour les processus...

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Limit theorems and applications (SAMSOS, 2008) has 21 episodes. Check the episode list to see recent publication dates and frequency.

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