A strong limit theorem under no assumption of independence, stationarity or various dependences
Let {qn, n [greater-or-equal, slanted] 0} be a sequence of positive integers, In = {0, 1, ..., qn}, {Xn, n [greater-or-equal, slanted] 0} a sequence of random variables, where Xn takes on values in In, and P(X1 = x1, ..., Xn = xn) > 0, for all xi [epsilon] Ii, 0 [less-than-or-equals, slant] i [less-than-or-equals, slant] n. The purpose of this paper is to give a strong limit theorem for the above sequence of random variables concerning conditional expectation without any assumption of independence, stationarity or various dependences.
Year of publication: |
1994
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Authors: | Liu, Wen |
Published in: |
Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 21.1994, 2, p. 157-161
|
Publisher: |
Elsevier |
Keywords: | Strong limit theorem Strong law of large numbers Conditional expectation |
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