2 papers
stat.ME2019
Predicting paleoclimate from compositional data using multivariate Gaussian process inverse prediction
John R. Tipton, Mevin B. Hooten, Connor Nolan +2
Multivariate compositional count data arise in many applications including ecology, microbiology, genetics, and paleoclimate. A frequent question in the analysis of multivariate co…
stat.AP2016
The basis function approach for modeling autocorrelation in ecological data
Trevor J. Hefley, Kristin M. Broms, Brian M. Brost +6
Analyzing ecological data often requires modeling the autocorrelation created by spatial and temporal processes. Many of the statistical methods used to account for autocorrelation…