Sufficient Conditions for a Stationary Process to be a Function of a Finite Markov Chain

DOI10.1214/aoms/1177704026zbMath0117.13704OpenAlexW2087092239WikidataQ105584317 ScholiaQ105584317MaRDI QIDQ5727117

S. W. Dharmadhikari

Publication date: 1963

Published in: The Annals of Mathematical Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1214/aoms/1177704026

Mathematics Subject Classification ID

Stationary stochastic processes (60G10) Markov chains (discrete-time Markov processes on discrete state spaces) (60J10)

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Markovianity and the Thompson monoid \(F^+\) ⋮ Quantum theory in finite dimension cannot explain every general process with finite memory ⋮ The complete realization problem for hidden Markov models: a survey and some new results ⋮ Quantum learning of classical stochastic processes: The completely positive realization problem ⋮ Estimating equilibrium probabilities for band diagonal Markov chains using aggregation and disaggregation techniques ⋮ On the statistical analysis of grouped markov chains

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