Model selection and parameter estimation for ion channel recordings with an application to the \(K^{+}\) outward-rectifier in barley leaf

DOI10.1007/s00285-004-0287-1zbMath1081.92014OpenAlexW2092185043WikidataQ51986783 ScholiaQ51986783MaRDI QIDQ814949

J. G. Schouten, Mathisca C. M. de Gunst

Publication date: 8 February 2006

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

Full work available at URL: https://doi.org/10.1007/s00285-004-0287-1

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Numerical analysis or methods applied to Markov chains (65C40) Physiology (general) (92C30) Cell biology (92C37)

Related Items

Markov chain Monte Carlo fitting of single-channel data from inositol trisphosphate receptors, Asymptotic behavior of Bayes estimators for hidden Markov models with application to ion channels

Uses Software

• Gibbsit

Cites Work

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• Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
• Model selection for hidden Markov models of ion channel data by reversible jump Markov chain Monte Carlo
• Stochastic models for ion channels: Introduction and bibliography
• On aggregated Markov processes
• A canonical representation for aggregated Markov processes
• Statistical Analysis of Ion Channel Data Using Hidden Markov Models With Correlated State-Dependent Noise and Filtering
• Estimating the order of a hidden markov model
• Bayesian inference for ion–channel gating mechanisms directly from single–channel recordings, using Markov chain Monte Carlo
• Bayesian choice among Markov models of ion channels using Markov chain Monte Carlo