Mathematics – Probability
Scientific paper
2002-02-14
Mathematics
Probability
17 pages. See also http://www.mts.jhu.edu/~fill/ . To be submitted for publication in spring, 2002
Scientific paper
We establish, for various scenarios, whether or not interruptible exact stationary sampling is possible when a finite-state Markov chain can only be viewed passively. In particular, we prove that such sampling is not possible using a single copy of the chain. Such sampling is possible when enough copies of the chain are available, and we provide an algorithm that terminates with probability one.
Crank Keith
Fill James Allen
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