Modeling nonstationary temperature maxima based on extremal dependence changing with event magnitude P Zhong, R Huser, T Opitz The Annals of Applied Statistics 16 (1), 272-299, 2022 | 19 | 2022 |
Joint modeling and prediction of massive spatio-temporal wildfire count and burnt area data with the INLA-SPDE approach Z Zhang, E Krainski, P Zhong, H Rue, R Huser Extremes 26 (2), 339-351, 2023 | 7 | 2023 |
Vecchia likelihood approximation for accurate and fast inference in intractable spatial extremes models R Huser, ML Stein, P Zhong arXiv preprint arXiv:2203.05626, 2022 | 7 | 2022 |
Partial tail-correlation coefficient applied to extremal-network learning Y Gong, P Zhong, T Opitz, R Huser Technometrics, 1-25, 2024 | 4 | 2024 |
Exact simulation of max-infinitely divisible processes P Zhong, R Huser, T Opitz Econometrics and Statistics, 2022 | 2 | 2022 |
Vecchia Likelihood Approximation for Accurate and Fast Inference with Intractable Spatial Max-Stable Models R Huser, ML Stein, P Zhong Journal of Computational and Graphical Statistics, 1-22, 2023 | 1 | 2023 |
Spatial modeling and future projection of extreme precipitation extents P Zhong, M Brunner, T Opitz, R Huser arXiv preprint arXiv:2212.03028, 2022 | 1 | 2022 |
Modeling and Simulation of Spatial Extremes Based on Max-Infinitely Divisible and Related Processes P Zhong | | 2022 |
Exact Simulation of Max P Zhong, R Huser, T Opitz Econometrics and Statistics, 2022 | | 2022 |
Modeling non-stationary P Zhong, R Huser, T Opitz arXiv, 2020 | | 2020 |