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stat.ME2026
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…
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…
stat.ME2020
Flexible nonstationary spatio-temporal modeling of high-frequency monitoring data
Christopher J. Geoga, Mihai Anitescu, Michael L. Stein
Many physical datasets are generated by collections of instruments that make measurements at regular time intervals. For such regular monitoring data, we extend the framework of ha…