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A central limit theorem for absorbing Markov chains

Matthews, J.P.

Biometrika, Cambridge, 57: 1, 129-39

1970

A central limit theorem is obtained for a sequence of random variables defined on a finite absorbing Markov chain, conditional on absorption not having taken place." It is "illustrated by a simulation study of a genetic model of Moran, for the case of one-way mutation in a population of gametes.

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**Derivations of learning statistics from absorbing Markov chains**. Psychometrika 34(2): 215-232, 1969

**Some Problems Of Statistical Inference In Absorbing Markov Chains**. Biometrika 52: 127-138, 1965