2 papers
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…
stat.AP2020
Distributed lag models to identify the cumulative effects of training and recovery in athletes using multivariate ordinal wellness data
Erin M. Schliep, Toryn L. J. Schafer, Matthew Hawkey
Subjective wellness data can provide important information on the well-being of athletes and be used to maximize player performance and detect and prevent against injury. Wellness…