| Hierarchical-block conditioning approximations for high-dimensional multivariate normal probabilities J Cao, MG Genton, DE Keyes, GM Turkiyyah Statistics and Computing 29 (3), 585-598, 2019 | 22 | 2019 |
| Scalable computation of predictive probabilities in probit models with Gaussian process priors J Cao, D Durante, MG Genton Journal of Computational and Graphical Statistics 31 (3), 709-720, 2022 | 15 | 2022 |
| Exploiting low-rank covariance structures for computing high-dimensional normal and Student-t probabilities J Cao, MG Genton, DE Keyes, GM Turkiyyah Statistics and Computing 31, 1-16, 2021 | 13 | 2021 |
| Scalable Gaussian-process regression and variable selection using Vecchia approximations J Cao, J Guinness, MG Genton, M Katzfuss Journal of machine learning research 23 (348), 1-30, 2022 | 11 | 2022 |
| Large‐scale environmental data science with ExaGeoStatR S Abdulah, Y Li, J Cao, H Ltaief, DE Keyes, MG Genton, Y Sun Environmetrics 34 (1), e2770, 2023 | 10 | 2023 |
| tlrmvnmvt: Computing high-dimensional multivariate normal and student-t probabilities with low-rank methods in r J Cao, MG Genton, DE Keyes, GM Turkiyyah Journal of Statistical Software 101, 1-25, 2022 | 9 | 2022 |
| ExaGeoStatR: A package for large-scale geostatistics in R S Abdulah, Y Li, J Cao, H Ltaief, DE Keyes, MG Genton, Y Sun arXiv, 2019 | 8 | 2019 |
| Variational sparse inverse Cholesky approximation for latent Gaussian processes via double Kullback-Leibler minimization J Cao, M Kang, F Jimenez, H Sang, FT Schaefer, M Katzfuss International Conference on Machine Learning, 3559-3576, 2023 | 7 | 2023 |
| An O(N) algorithm for computing expectation of N-dimensional truncated multi-variate normal distribution I: fundamentals J Huang, J Cao, F Fang, MG Genton, DE Keyes, G Turkiyyah Advances in Computational Mathematics 47 (5), 65, 2021 | 3 | 2021 |
| Sum of Kronecker products representation and its Cholesky factorization for spatial covariance matrices from large grids J Cao, MG Genton, DE Keyes, GM Turkiyyah Computational Statistics & Data Analysis 157, 107165, 2021 | 3 | 2021 |
| Linear-Cost Vecchia Approximation of Multivariate Normal Probabilities J Cao, M Katzfuss arXiv preprint arXiv:2311.09426, 2023 | 1 | 2023 |
| Scalable Sampling of Truncated Multivariate Normals Using Sequential Nearest-Neighbor Approximation J Cao, M Katzfuss arXiv preprint arXiv:2406.17307, 2024 | | 2024 |
| Locally Anisotropic Nonstationary Covariance Functions on the Sphere J Cao, J Zhang, Z Sun, M Katzfuss Journal of Agricultural, Biological and Environmental Statistics 29 (2), 212-231, 2024 | | 2024 |
| Parallel Approximations for High-Dimensional Multivariate Normal Probability Computation in Confidence Region Detection Applications X Zhang, S Abdulah, J Cao, H Ltaief, Y Sun, MG Genton, DE Keyes arXiv preprint arXiv:2405.14892, 2024 | | 2024 |
| Front Cover Image, Volume 34, Number 1, February 2023. S Abdulah, Y Li, J Cao, H Ltaief, DE Keyes, MG Genton, Y Sun Environmetrics 34 (1), 2023 | | 2023 |
| Locally anisotropic covariance functions on the sphere J Cao, J Zhang, Z Sun, M Katzfuss arXiv preprint arXiv:2208.07431, 2022 | | 2022 |
| danieledurante/PredProbitGP: Scalable computation of predictive probabilities in probit models with Gaussian process priors J Cao, D Durante, MG Genton Github, 2021 | | 2021 |
| Computation of High-Dimensional Multivariate Normal and Student-t Probabilities Based on Matrix Compression Schemes J Cao | | 2020 |
| ExaGeoStatR: Harnessing HPC Capabilities for Large Scale Geospatial Modeling Using R S Abdulah, Y Li, J Cao, H Ltaief, DE Keyes, MG Genton, Y Sun | | 2019 |
| O (N) Hierarchical algorithm for computing the expectations of truncated multi-variate normal distributions in N dimensions J Huang, F Fang, G Turkiyyah, J Cao, MG Genton, DE Keyes arXiv preprint arXiv:1809.08315, 2018 | | 2018 |
Marc G GentonAl-Khawarizmi Distinguished Professor of Statistics, KAUST在 kaust.edu.sa 的电子邮件经过验证
