2 papers
stat.AP2021
A Bayesian Hidden Semi-Markov Model with Covariate-Dependent State Duration Parameters for High-Frequency Environmental Data
Shirley Rojas-Salazar, Erin M. Schliep, Christopher K. Wikle +3
Environmental time series data observed at high frequencies can be studied with approaches such as hidden Markov and semi-Markov models (HMM and HSMM). HSMMs extend the HMM by expl…
stat.AP2020
A Bayesian Hidden Semi-Markov Model with Covariate-Dependent State Duration Parameters for High-Frequency Data from Wearable Devices
Shirley Rojas-Salazar, Erin M. Schliep, Christopher K. Wikle +1
Data collected by wearable devices in sports provide valuable information about an athlete's behavior such as their activity, performance, and ability. These time series data can b…