Aggregation of Markov processes: Axiomatization (Q1118907)

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scientific article; zbMATH DE number 4096520
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Aggregation of Markov processes: Axiomatization
scientific article; zbMATH DE number 4096520

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    Aggregation of Markov processes: Axiomatization (English)
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    1989
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    An aggregator is a map from (column) stochastic \(n\times n\) matrices to (column) stochastic \(m\times m\) matrices. The authors characterise aggregators satisfying two axioms. This is useful in applications of finite state Markov chains where one need to decrease the number of states.
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    stochastic matrices
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    Markov chains
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