Bayesian inference for ion–channel gating mechanisms directly from single–channel recordings, using Markov chain Monte Carlo
Author:
Affiliation:
1. School of Mathematical Sciences, University of Nottingham, University Park, Nottingham NG7 2RD, UK
2. Department of Statistics, Carnegie–Mellon University, 232 Baker Hall, PA 15213, USA
Publisher
The Royal Society
Subject
General Physics and Astronomy,General Engineering,General Mathematics
Link
https://royalsocietypublishing.org/doi/pdf/10.1098/rspa.1999.0432
Reference58 articles.
1. Empirical clustering of bursts of openings in markov and semi-markov models of single channel gating incorporating time interval omission
2. Ion-channel gating mechanisms: model identification and parameter estimation from single channel recordings
3. Aggregated semi-Markov processes incorporating time interval omission
4. Poisson sampling-based inference for single ion channel data with time interval omission
5. Single ion channel models incorporating aggregation and time interval omission
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