| A case study competition among methods for analyzing large spatial data MJ Heaton, A Datta, AO Finley, R Furrer, J Guinness, R Guhaniyogi, ... Journal of Agricultural, Biological and Environmental Statistics 24, 398-425, 2019 | 390 | 2019 |
| A general framework for Vecchia approximations of Gaussian processes M Katzfuss, J Guinness | 224 | 2021 |
| Permutation and grouping methods for sharpening Gaussian process approximations J Guinness Technometrics 60 (4), 415-429, 2018 | 139 | 2018 |
| Isotropic covariance functions on spheres: Some properties and modeling considerations J Guinness, M Fuentes Journal of Multivariate Analysis 143, 143-152, 2016 | 111 | 2016 |
| Vecchia approximations of Gaussian-process predictions M Katzfuss, J Guinness, W Gong, D Zilber Journal of Agricultural, Biological and Environmental Statistics 25, 383-414, 2020 | 79 | 2020 |
| Improved methodologies for Earth system modelling of atmospheric soluble iron and observation comparisons using the Mechanism of Intermediate complexity for Modelling Iron … DS Hamilton, RA Scanza, Y Feng, J Guinness, JF Kok, L Li, X Liu, ... Geoscientific Model Development 12 (9), 3835-3862, 2019 | 62 | 2019 |
| Circulant embedding of approximate covariances for inference from Gaussian data on large lattices J Guinness, M Fuentes Journal of computational and Graphical Statistics 26 (1), 88-97, 2017 | 55 | 2017 |
| A space-time geostatistical model for probabilistic estimation of harmful algal bloom biomass and areal extent S Fang, D Del Giudice, D Scavia, CE Binding, TB Bridgeman, JD Chaffin, ... Science of the Total Environment 695, 133776, 2019 | 44 | 2019 |
| Gaussian process learning via Fisher scoring of Vecchia’s approximation J Guinness Statistics and Computing 31 (3), 25, 2021 | 41 | 2021 |
| Scaled Vecchia approximation for fast computer-model emulation M Katzfuss, J Guinness, E Lawrence SIAM/ASA Journal on Uncertainty Quantification 10 (2), 537-554, 2022 | 39 | 2022 |
| GpGp: fast Gaussian process computation using Vecchia’s approximation J Guinness, M Katzfuss, Y Fahmy R package version 0.4. 0, 2021 | 38 | 2021 |
| An evolutionary spectrum approach to incorporate large-scale geographical descriptors on global processes S Castruccio, J Guinness Journal of the Royal Statistical Society Series C: Applied Statistics 66 (2 …, 2017 | 36 | 2017 |
| Interpolation of nonstationary high frequency spatial—Temporal temperature data J Guinness, ML Stein The Annals of Applied Statistics, 1684-1708, 2013 | 29 | 2013 |
| Space-time geostatistical assessment of hypoxia in the northern Gulf of Mexico VRR Matli, S Fang, J Guinness, NN Rabalais, JK Craig, DR Obenour Environmental science & technology 52 (21), 12484-12493, 2018 | 28 | 2018 |
| Spectral density estimation for random fields via periodic embeddings J Guinness Biometrika 106 (2), 267-286, 2019 | 27 | 2019 |
| Compression and conditional emulation of climate model output J Guinness, D Hammerling Journal of the American Statistical Association 113 (521), 56-67, 2018 | 27 | 2018 |
| Multivariate spatial modeling of conditional dependence in microscale soil elemental composition data J Guinness, M Fuentes, D Hesterberg, M Polizzotto Spatial Statistics 9, 93-108, 2014 | 21 | 2014 |
| Likelihood approximations for big nonstationary spatial temporal lattice data J Guinness, M Fuentes Statistica Sinica, 329-349, 2015 | 17 | 2015 |
| An observational study of the effect of nike vaporfly shoes on marathon performance J Guinness, D Bhattacharya, J Chen, M Chen, A Loh arXiv preprint arXiv:2002.06105, 2020 | 16 | 2020 |
| Transformation to approximate independence for locally stationary Gaussian processes J Guinness, ML Stein Journal of Time Series Analysis 34 (5), 574-590, 2013 | 16 | 2013 |
