A strictly stationary, N-tuplewise independent counterexample to the Central Limit Theorem
For an arbitrary integer N>=2, this paper gives the construction of a strictly stationary (and ergodic), N-tuplewise independent sequence of (nondegenerate) bounded random variables such that the Central Limit Theorem fails to hold. The sequence is in part an adaptation of a nonstationary example with similar properties constructed by one of the authors (ARP) in a paper published in 1998.
Year of publication: |
2009
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Authors: | Bradley, Richard C. ; Pruss, Alexander R. |
Published in: |
Stochastic Processes and their Applications. - Elsevier, ISSN 0304-4149. - Vol. 119.2009, 10, p. 3300-3318
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Publisher: |
Elsevier |
Keywords: | Strictly stationary Ergodic N-tuplewise independent Central Limit Theorem |
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