Coding Ergodic Processes to Approximate Bernoulli Processes
Canadian journal of mathematics, Tome 28 (1976) no. 1, pp. 135-140

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In [1] Ornstein defined a metric on processes which, for processes (P, τ) and (Q, σ) with equal numbers of atoms, measures how closely the motions of P and Q under r and a, respectively, imitate each other. If we think of (P, τ) and (Q, σ) as stationary stochastic processes, and we assume (P, τ) and (Q, σ) are ergodic, then ((P, τ)(Q, σ)) < α says that with probability one a printout from (P, r) can be changed on a set of integers with density less than a to obtain a printout from (Q, σ).
Junco, A. Del. Coding Ergodic Processes to Approximate Bernoulli Processes. Canadian journal of mathematics, Tome 28 (1976) no. 1, pp. 135-140. doi: 10.4153/CJM-1976-016-2
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[1] 1. Ornstein, D. S., An application of ergodic theory to probability theory, Ann. Probability 1, (1973), 43–65. Google Scholar

[2] 2. Ornstein, D. S., Bernoulli shifts with the same entropy are isomorphic, Advances in Math. 4 (1970), 337–352. Google Scholar

[3] 3. Ornstein, D. S., Factors of Bernoulli shifts are Bernoulli shifts, Advances in Math. 5 (1970), 349–364. Google Scholar

[4] 4. Shields, P. C., The theory of Bernoulli shifts (The University of Chicago Press, 1973). Google Scholar

[5] 5. Smorodinsky, M., Ergodic theory, entropy, Springer Lecture Notes in Mathematics, No. 214 (1971). Google Scholar

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