On Evaluation of Discrete States of Hidden Markov Chain under Uncertainty Conditions

DOI10.1007/978-3-319-13671-4_48zbMath1356.60112OpenAlexW583991273MaRDI QIDQ3463593

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Publication date: 19 January 2016

Published in: Communications in Computer and Information Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-13671-4_48

zbMATH Keywords

interpolationhidden Markov chainnonlinear filteringautoregressive modelmultivariate kernel density estimation

Mathematics Subject Classification ID

Computational methods in Markov chains (60J22) Inference from stochastic processes and prediction (62M20) Density estimation (62G07) Markov chains (discrete-time Markov processes on discrete state spaces) (60J10)

Cites Work

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• Empirical Bayes estimation in Lebesgue-exponential families with rates near the best possible rate
• Empirical Bayes estimation of a scale parameter
• Empirical bayes estimation of reliability characteristics for an exponential family
• A General Approach to Nonparametric Empirical Bayes Estimation

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