activity
20242026
collaborators

6 papers

math.NA2026

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…

stat.AP2026

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…

stat.CO2026

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…

physics.ao-ph2025

High-Resolution Retrieval of Atmospheric Boundary Layers with Nonstationary Gaussian Processes

Haoran Xiong, Paytsar Muradyan, Christopher J. Geoga

The atmospheric boundary layer (ABL) plays a critical role in governing turbulent exchanges of momentum, heat moisture, and trace gases between the Earth's surface and the free atm…

stat.ME2025

Fast nonparametric spectral density estimation from irregularly sampled data

Christopher J. Geoga, Paul G. Beckman

We introduce a nonparametric spectral density estimator for continuous-time and continuous-space processes measured at fully irregular locations. Our estimator is constructed using…

math.NA2024

Fast Machine-Precision Spectral Likelihoods for Stationary Time Series

Christopher J. Geoga

We provide in this work an algorithm for approximating a very broad class of symmetric Toeplitz matrices to machine precision in time with applications to f…