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A pairwise independent stationary stochastic process

Author

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  • Robertson, James B.
  • Womack, James M.

Abstract

The purpose of this paper is to study pairwise independence in the context of strictly stationary stochastic processes {X[pi], N = 0, ±1, ...}. Our main result is an example of such a process that maximizes E(X1X2X3). We also show that subject to some additional independence assumptions any two of these processes are distributionally the same. The spectral properties of this process are then analysed.

Suggested Citation

  • Robertson, James B. & Womack, James M., 1985. "A pairwise independent stationary stochastic process," Statistics & Probability Letters, Elsevier, vol. 3(4), pages 195-199, July.
  • Handle: RePEc:eee:stapro:v:3:y:1985:i:4:p:195-199
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    Citations

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    Cited by:

    1. Sharakhmetov, Sh. & Ibragimov, R., 2002. "A Characterization of Joint Distribution of Two-Valued Random Variables and Its Applications," Journal of Multivariate Analysis, Elsevier, vol. 83(2), pages 389-408, November.
    2. Courbage, M. & Hamdan, D., 1998. "An ergodic Markov chain is not determined by its two-dimensional marginal laws," Statistics & Probability Letters, Elsevier, vol. 37(1), pages 35-40, January.
    3. Etemadi, N. & Kaminski, M., 1996. "Strong law of large numbers for 2-exchangeable random variables," Statistics & Probability Letters, Elsevier, vol. 28(3), pages 245-250, July.

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