| Spatial hierarchical modeling of threshold exceedances using rate mixtures R Yadav, R Huser, T Opitz Environmetrics 32 (3), e2662, 2021 | 23 | 2021 |
| A combined statistical and machine learning approach for spatial prediction of extreme wildfire frequencies and sizes D Cisneros, Y Gong, R Yadav, A Hazra, R Huser Extremes 26 (2), 301-330, 2023 | 22 | 2023 |
| Joint modelling of landslide counts and sizes using spatial marked point processes with sub-asymptotic mark distributions R Yadav, R Huser, T Opitz, L Lombardo Journal of the Royal Statistical Society Series C: Applied Statistics 72 (5 …, 2023 | 15 | 2023 |
| A flexible Bayesian hierarchical modeling framework for spatially dependent peaks-over-threshold data R Yadav, R Huser, T Opitz Spatial Statistics 51, 100672, 2022 | 7 | 2022 |
| A utopic adventure in the modelling of conditional univariate and multivariate extremes: EVA (2023) Conference Data Challenge: Team Yahabe LR Belzile, A Hazra, R Yadav Extremes, 1-35, 2024 | | 2024 |
| Statistics of extremes for natural hazards: landslides and earthquakes R Yadav, L Lombardo, R Huser arXiv preprint arXiv:2404.09156, 2024 | | 2024 |
| 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 |
| An utopic adventure in the modelling of conditional univariate and multivariate extremes LR Belzile, A Hazra, R Yadav arXiv preprint arXiv:2312.13517, 2023 | | 2023 |
| Spatial Statistics R Yadav, R Huser, T Opitz | | 2022 |
| Bayesian Modeling of Sub-Asymptotic Spatial Extremes R Yadav | | 2022 |
| Data Challenge D Vlah, T Ivek, J Koh, A Hazra, D Cisneros, R Yadav, Y Gong | | |
Raphaël HuserAssociate Professor, King Abdullah University of Science and Technology (KAUST)在 kaust.edu.sa 的电子邮件经过验证
