Recursive estimation of high-order Markov chains: Approximation by finite mixtures
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文摘

High-order Markov chain is approximated by mixture of low order Markov chains.

Corresponding Bayesian approximate recursive estimator is proposed.

Forgetting counteracting error accumulation is tailored to this case.

A simple example related to Ultimatum game indicates the power of the approach.

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