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Stochastic Processes pp 253–262Cite as

Markov Property of Measure-indexed Gaussian Random Fields

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Abstract

We give analytic characterizations of the RKHS of measure-indexed Gaussian random fields having Markov properties.

Supported in part by ONR Grants: N000–14–91-J-1084, N000–14–85-K-0150

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Author information

Authors and Affiliations

  1. Department of Statistics and Probability, Michigan State University, East Lansing, MI, 48824, USA

    V. Mandrekar

  2. Department of Mathematics, Gannon University, Erie, PA, 16541, USA

    Sixiang Zhang

Authors
  1. V. Mandrekar
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  2. Sixiang Zhang
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Editor information

Editors and Affiliations

  1. Department of Statistics, University of North Carolina, Chapel Hill, NC, 27599-3260, USA

    Stamatis Cambanis  & Pranab K. Sen  & 

  2. Indian Statistical Institute, 203, B.T. Road, 700035, Calcutta, India

    Jayanta K. Ghosh

  3. Indian Statistical Institute, 7, S.J.S. Sansanwal Marg, New Delhi, 110016, India

    Rajeeva L. Karandikar

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© 1993 Springer-Verlag New York, Inc.

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Mandrekar, V., Zhang, S. (1993). Markov Property of Measure-indexed Gaussian Random Fields. In: Cambanis, S., Ghosh, J.K., Karandikar, R.L., Sen, P.K. (eds) Stochastic Processes. Springer, New York, NY. https://doi.org/10.1007/978-1-4615-7909-0_28

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  • DOI: https://doi.org/10.1007/978-1-4615-7909-0_28

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4615-7911-3

  • Online ISBN: 978-1-4615-7909-0

  • eBook Packages: Springer Book Archive

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