Student s t-distribution and related stochastic processes

This brief monograph is an in-depth study of the infinite divisibility and self-decomposability properties of central and noncentral Student s distributions, represented as variance and mean-variance mixtures of multivariate Gaussian distributions with the reciprocal gamma mixing distribution. These...

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Autor principal: Grigelionis, Bronius, 1935-2014
Format: Livre numérique
Idioma:Anglais
Publicat: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Edició:1st ed. 2013.
Col·lecció:SpringerBriefs in Statistics
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Edition sous un autre format:• Student s t-Distribution and Related Stochastic Processes, Texte imprimé, 9783642311451
• Student's t-Distribution and Related Stochastic Processes, Texte imprimé, 9783642311475
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Sumari:This brief monograph is an in-depth study of the infinite divisibility and self-decomposability properties of central and noncentral Student s distributions, represented as variance and mean-variance mixtures of multivariate Gaussian distributions with the reciprocal gamma mixing distribution. These results allow us to define and analyse Student-Lévy processes as Thorin subordinated Gaussian Lévy processes. A broad class of one-dimensional, strictly stationary diffusions with the Student s t-marginal distribution are defined as the unique weak solution for the stochastic differential equation. Using the independently scattered random measures generated by the bi-variate centred Student-Lévy process, and stochastic integration theory, a univariate, strictly stationary process with the centred Student s t- marginals and the arbitrary correlation structure are defined. As a promising direction for future work in constructing and analysing new multivariate Student-Lévy type processes, the notion of Lévy copulas and the related analogue of Sklar s theorem are explained
Descripció de l’ítem:Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
ISBN:9783642311468
ISSN:2191-5458
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