//
sign in
Post
by @danabra.mov
PostEmbed
by @danabra.mov
Record
by @jimpick.com
Record
by @atsui.org
+ new component
Post
Semi-new article: “The influence of observation sequence features on the performance of the Bayesian hidden Markov model: A Monte Carlo simulation study” with Bart-Jan Boverhof and Emmeke Aarts, now available in Plos One. Access at: doi.org/10.1371/jour...
10mo
The hidden Markov model is a popular modeling strategy for describing and explaining latent process dynamics. There is a lack of information on the estimation performance of the Bayesian hidden Markov...
doi.org
The influence of observation sequence features on the performance of the Bayesian hidden Markov model: A Monte Carlo simulation study
Jan-Willem Simons