Stationary (Strict Sense) Random Sequences and Ergodic Theory
Part of the Graduate Texts in Mathematics book series (GTM, volume 95)
1. Let (Ω,.‱, P) be a probability space and ξ = (ξ1, ξ2,…) a sequence of random variables or, as we say, a random sequence. Let θ k ξ denote the sequence(ξk+1, ξk+2, …).
KeywordsProbability Space Random Sequence Ergodic Theory Strict Sense Stationary Sequence
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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© Springer Science+Business Media New York 1984