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MCMC for hidden Markov models incorporating aggregation of states and filtering

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Publication:253622
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DOI10.1016/J.BULM.2003.12.001zbMath1334.92148OpenAlexW2062134770WikidataQ51992522 ScholiaQ51992522MaRDI QIDQ253622

Rafael A. Rosales

Publication date: 8 March 2016

Published in: Bulletin of Mathematical Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.bulm.2003.12.001


zbMATH Keywords

filteringBayesian statisticshidden Markov modelssingle ion channel


Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Biochemistry, molecular biology (92C40)


Related Items (3)

Computing rates of Markov models of voltage-gated ion channels by inverting partial differential equations governing the probability density functions of the conducting and non-conducting states ⋮ Computing optimal properties of drugs using mathematical models of single channel dynamics ⋮ Statistical methodology in single-molecule experiments







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