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Interruptible exact sampling in the passive case
release_w66duw7whfawhopn3wpupszali
by
Keith Crank, James Allen Fill (Johns
Hopkins Univ.)
Released
as a article
.
2002
Abstract
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.
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