4 papers
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…
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…
Long-term Spatial Modeling for Characteristics of Extreme Heat Events
Erin M. Schliep, Alan E. Gelfand, Jesus Abaurrea +3
There is increasing evidence that global warming manifests itself in more frequent warm days and that heat waves will become more frequent. Presently, a formal definition of a heat…
Identifying and characterizing extrapolation in multivariate response data
Meridith L Bartley, Ephraim M Hanks, Erin M Schliep +2
Extrapolation is defined as making predictions beyond the range of the data used to estimate a statistical model. In ecological studies, it is not always obvious when and where ext…