| Reshaping geostatistical modeling and prediction for extreme-scale environmental applications Q Cao, S Abdulah, R Alomairy, Y Pei, P Nag, G Bosilca, J Dongarra, ... SC22: International Conference for High Performance Computing, Networking …, 2022 | 18 | 2022 |
| The Second Competition on Spatial Statistics for Large Datasets S Abdulah, F Alamri, P Nag, Y Sun, H Ltaief, DE Keyes, MG Genton Journal of Data Science 20, 439--460, 2022 | 7 | 2022 |
| Spatio-temporal DeepKriging for Interpolation and Probabilistic Forecasting P Nag, Y Sun, BJ Reich Spatial Statistics 57 (https://doi.org/10.1016%2Fj.spasta.2023.), 100773, 2023 | 4 | 2023 |
| Bivariate DeepKriging for large-scale spatial interpolation of wind fields P Nag, Y Sun, BJ Reich arXiv preprint arXiv:2307.08038, 2023 | 1 | 2023 |
| Exploring the Efficacy of Statistical and Deep Learning Methods for Large Spatial Datasets: A Case Study A Hazra, P Nag, R Yadav, Y Sun Journal of Agricultural, Biological and Environmental Statistics, 1-24, 2024 | | 2024 |
| pratik187/Space-Time. DeepKriging: DNN for spatio-temporal process interpolation and forecasting. P Nag, Y Sun, BJ Reich Github, 2023 | | 2023 |
| Efficient Large-scale Nonstationary Spatial Covariance Function Estimation Using Convolutional Neural Networks P Nag, Y Hong, S Abdulah, GA Qadir, MG Genton, Y Sun arXiv preprint arXiv:2306.11487, 2023 | | 2023 |
Ying SunAssociate Professor of Statistics, King Abdullah University of Science and Technology (KAUST)Verified email at kaust.edu.sa
