4 papers · 1 filter
Bigraphical Matérn-Whittle (BMW) Processes for Fast Inference of Big Multivariate Spatial Data on General Domains
Debangan Dey, Alokesh Manna, Christopher J. Geoga
Large spatial data sets now record many correlated variables at many thousands of locations, often on domains where Euclidean distance misrepresents proximity. The central difficul…
Linear-cost Polyharmonic Spline Interpolation of Arbitrary Degree
Christopher J. Geoga, Michael O'Neil
We introduce a simple and performant approach for rapidly and accurately performing polyharmonic spline (PHS) interpolation using a combination of the fast multipole method (FMM) f…
A Gaussian Process Model of 3D Udder Point Clouds for Teat Length Phenotyping in Dairy Cows
Maria E. Montes, João R. R. Doréa, Christopher J. Geoga
Phenotyping conformation traits is important for dairy cattle breeding and management. Although large-scale phenotyping is possible with 3D imaging technologies, manual annotation…
Fast and accurate conditioning for large-scale Gaussian process prediction problems
Samanyu Arora, Christopher J. Geoga
Gaussian Process (GP) models provide a flexible framework for prediction and uncertainty quantification. For most covariance functions, however, exact GP prediction with points…