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Probability in Banach Spaces, 9 pp 155–172Cite as

Birkhäuser

On the Central Limit Theorem for Multiparameter Stochastic Processes

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Part of the book series: Progress in Probability ((PRPR,volume 35))

Abstract

In recent papers Bezandry and Fernique (1990), 1992), Fernique (1993) have given new convergence and tightness criteria for random processes whose sample paths are right-continuous and have left-limits. These criteria have been applied by Bezandry and Fernique, Bloznelis and Paulauskas to prove the central limit theorem (CLT) in the Skorohod space D[0,1].

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References

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Author information

Authors and Affiliations

  1. Department of Mathematics, Vilnius University, Naugarduko 24, Vilnius, 2006, Lithuania

    M. Bloznelis

  2. Institute of Mathematics and Informatics, Akademijos 4, Vilnius, Lithuania

    M. Bloznelis

  3. Department of Mathematics, Vilnius University, Naugarduko 24, Vilnius, 2006, Lithuania

    V. Paulauskas

Authors
  1. M. Bloznelis
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  2. V. Paulauskas
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Editor information

Editors and Affiliations

  1. Mathematical Institute, Aarhus University, NY Munkegade, DK-8000, Aarhus C, Denmark

    Jørgen Hoffmann-Jørgensen

  2. Department of Mathematics, University of Wisconsin, Madison, WI, 53706, USA

    James Kuelbs

  3. Department of Mathematics, City College of New York, New York, NY, 10031, USA

    Michael B. Marcus

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© 1994 Springer Science+Business Media New York

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Bloznelis, M., Paulauskas, V. (1994). On the Central Limit Theorem for Multiparameter Stochastic Processes. In: Hoffmann-Jørgensen, J., Kuelbs, J., Marcus, M.B. (eds) Probability in Banach Spaces, 9. Progress in Probability, vol 35. Birkhäuser, Boston, MA. https://doi.org/10.1007/978-1-4612-0253-0_9

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  • DOI: https://doi.org/10.1007/978-1-4612-0253-0_9

  • Publisher Name: Birkhäuser, Boston, MA

  • Print ISBN: 978-1-4612-6682-2

  • Online ISBN: 978-1-4612-0253-0

  • eBook Packages: Springer Book Archive

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