Scalable Gaussian process computations using hierarchical matrices CJ Geoga, M Anitescu, ML Stein Journal of Computational and Graphical Statistics 29 (2), 227-237, 2020 | 58 | 2020 |
Fitting Matérn smoothness parameters using automatic differentiation CJ Geoga, O Marin, M Schanen, ML Stein Statistics and Computing 33 (2), 48, 2023 | 17 | 2023 |
Frequency–wavenumber spectral analysis of spatio-temporal flows CJ Geoga, CL Haley, AR Siegel, M Anitescu Journal of Fluid Mechanics 848, 545-559, 2018 | 13 | 2018 |
On automatic differentiation for the Mat\'ern covariance O Marin, C Geoga, M Schanen arXiv preprint arXiv:2201.00262, 2022 | 5 | 2022 |
Flexible nonstationary spatiotemporal modeling of high‐frequency monitoring data CJ Geoga, M Anitescu, ML Stein Environmetrics 32 (5), e2670, 2021 | 4 | 2021 |
Scalable computations for nonstationary Gaussian processes PG Beckman, CJ Geoga, ML Stein, M Anitescu Statistics and Computing 33 (4), 84, 2023 | 3 | 2023 |
A scalable method to exploit screening in gaussian process models with noise CJ Geoga, ML Stein Journal of Computational and Graphical Statistics 33 (2), 603-613, 2024 | 2 | 2024 |
Multitaper. jl: A Julia package for frequency domain analysis of time series CL Haley, CJ Geoga Journal of Open Source Software 5 (55), 2463, 2020 | 2 | 2020 |
Fast adaptive Fourier integration for spectral densities of Gaussian processes PG Beckman, CJ Geoga Statistics and Computing 34 (6), 217, 2024 | | 2024 |
Fast Machine-Precision Spectral Likelihoods for Stationary Time Series CJ Geoga arXiv preprint arXiv:2404.16583, 2024 | | 2024 |
Models and Computation for Nonstationary Processes at Scale CJ Geoga ProQuest Dissertations Publishing, 2023 | | 2023 |
Spectral analysis for comparison of second-order flow structure in DNS simulations CL Haley, CJ Geoga, A Siegel, M Anitescu | | 2017 |
Adaptive Nonparametric Spectra applied to Uncertainty Propagation and Kernel Learning CL Haley, CJ Geoga, M Anitescu | | |