Student processes

Chris C. Heyde*, N. N. Leonenko

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    92 Citations (Scopus)

    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.

    Original languageEnglish
    Pages (from-to)342-365
    Number of pages24
    JournalAdvances in Applied Probability
    Volume37
    Issue number2
    DOIs
    Publication statusPublished - Jun 2005

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