44 citations · 77 across the 13 of their papers we have counts for
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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…
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…
On the spatial and temporal shift in the archetypal seasonal temperature cycle as driven by annual and semi-annual harmonics
Joshua S. North, Erin M. Schliep, Christopher K. Wikle
Statistical methods are required to evaluate and quantify the uncertainty in environmental processes, such as land and sea surface temperature, in a changing climate. Typically, an…
Bayesian binomial mixture models for estimating abundance in ecological monitoring studies
Guohui Wu, Scott H. Holan, Charles H. Nilon +1
Investigation of species abundance has become a vital component of many ecological monitoring studies. The primary objective of these studies is to understand how specific species…
Interpolating fields of carbon monoxide data using a hybrid statistical-physical model
Anders Malmberg, Avelino Arellano, David P. Edwards +3
Atmospheric Carbon Monoxide (CO) provides a window on the chemistry of the atmosphere since it is one of few chemical constituents that can be remotely sensed, and it can be used t…