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Student's t-Distribution and related stochastic processes Bronius Grigelionis

Springer Nature - Springer Mathematics and Statistics (R0) eBooks 2013 English International Available online

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Format:
Book
Author/Creator:
Grigelionis, B. (Bronius), 1935-
Series:
SpringerBriefs in statistics
SpringerBriefs in statistics 2191-544X
Language:
English
Subjects (All):
Stochastic processes.
t-test (Statistics).
Stochastic Processes.
Medical Subjects:
Stochastic Processes.
Physical Description:
1 online resource
Place of Publication:
Heidelberg New York Springer ©2013
Language Note:
English
System Details:
text file
PDF
Summary:
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
Contents:
Asymptotics Preliminaries of Lévy Processes Student-Lévy Processes Student OU-Type Processes Student Diffusion Processes Miscellanea
Notes:
Includes bibliographical references and index
Print version record
Other Format:
Print version Grigelionis, B. (Bronius), 1935- Student's t-Distribution and related stochastic processes
ISBN:
9783642311468
3642311466
OCLC:
811563993
Access Restriction:
Restricted for use by site license

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