Student processes



Advances in Applied Probability

Student processes

C. C. Heyde and N. N. Leonenko

Source: Adv. in Appl. Probab. Volume 37, Number 2 (2005), 342-365.

Abstract

Stochastic processes with Student marginals and various types of dependence structure, allowing for both short- and long-range dependence, are discussed in this paper. A particular motivation is the modelling of risky asset time series.

Primary Subjects: 60E99, 60G10, 60G35, 62M10
Keywords: Student distribution; Ornstein-Uhlenbeck-type process; self-decomposability; long-range dependence

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Permanent link to this document: http://projecteuclid.org/euclid.aap/1118858629
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Mathematical Reviews number (MathSciNet): MR2144557

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