Student’s t-Distribution and Related Stochastic Processes

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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.
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.
In-depth study of the infinite divisibility and self-decomposability properties of central and noncentral Student’s distributions Extreme value theory for such diffusions is developed Flexible and statistically tractable Kolmogorov-Pearson diffusions are described Includes supplementary material: sn.pub/extras

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Bronius Grigelionis

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Bessel function Gaussian Lévy process H-diffusion Self-decomposability Thorin subordinator

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“It is self-contained and summarizes the most recent results by the author related to t-distribution and their processes. … Grigelionis has pulled together an excellent overview in Student t-distribution and processes, which has not previously been available. The book is written at a highly scholarly level and should appeal to those with an interest in applied probability methodology and applications. It should be for students who have had an advanced course in probability.” (Stergios B. Fotopoulos, Technometrics, Vol. 58 (3), August, 2016)

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