Bayesian Spline-Based Hidden Markov Models with Applications to Actimetry Data and Sleep Analysis
Authors:
Open Access
- 26 December 2023
- journal article
- research article
- Published by Taylor & Francis in Journal of the American Statistical Association
- Vol. 119 (548) , 2833-2843
Abstract
No abstract availableKeywords
All Related Versions
This publication has 56 references indexed in Scilit:
- Heart rate variability, sleep and sleep disordersSleep Medicine Reviews, 2012
- Adaptive Markov chain Monte Carlo: theory and methods2011
- Bayesian Non-Parametric Hidden Markov Models with Applications in GenomicsJournal of the Royal Statistical Society Series B: Statistical Methodology, 2010
- Bayesian P-SplinesJournal of Computational and Graphical Statistics, 2004
- Reversible Jump, Birth-and-Death and More General Continuous Time Markov Chain Monte Carlo SamplersJournal of the Royal Statistical Society Series B: Statistical Methodology, 2003
- Efficient Construction of Reversible Jump Markov Chain Monte Carlo Proposal DistributionsJournal of the Royal Statistical Society Series B: Statistical Methodology, 2003
- Computing Bayes Factors by Combining Simulation and Asymptotic ApproximationsJournal of the American Statistical Association, 1997
- Bivariate B-splines for tensor logspline density estimationComputational Statistics & Data Analysis, 1996
- Reversible jump Markov chain Monte Carlo computation and Bayesian model determinationBiometrika, 1995
- A tutorial on hidden Markov models and selected applications in speech recognitionProceedings of the IEEE, 1989