Model selection for hidden Markov models of ion channel data by reversible jump Markov chain Monte Carlo

DOI10.3150/BJ/1065444810zbMath1042.92011OpenAlexW2057550128MaRDI QIDQ1433457

Mathisca C. M. de Gunst, Barry Schouten

Publication date: 18 June 2004

Published in: Bernoulli (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3150/bj/1065444810

zbMATH Keywords

maximum a posteriori estimatormodel identificationposteriori distributionsingle-channel recordings

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) (60J20) Biochemistry, molecular biology (92C40) Numerical analysis or methods applied to Markov chains (65C40)

Related Items (3)

Statistical methodology in single-molecule experiments ⋮ Asymptotic behavior of Bayes estimators for hidden Markov models with application to ion channels ⋮ Model selection and parameter estimation for ion channel recordings with an application to the \(K^{+}\) outward-rectifier in barley leaf

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