| Anthropogenic contributions to the 2021 Pacific Northwest heatwave E Bercos‐Hickey, TA O’Brien, MF Wehner, L Zhang, CM Patricola, ... Geophysical Research Letters 49 (23), e2022GL099396, 2022 | 30 | 2022 |
| Hierarchical transformed scale mixtures for flexible modeling of spatial extremes on datasets with many locations L Zhang, BA Shaby, JL Wadsworth Journal of the American Statistical Association 117 (539), 1357-1369, 2022 | 20 | 2022 |
| Accounting for the spatial structure of weather systems in detected changes in precipitation extremes L Zhang, MD Risser, EM Molter, MF Wehner, TA O'Brien Weather and Climate Extremes 38, 100499, 2022 | 10 | 2022 |
| Uniqueness and global optimality of the maximum likelihood estimator for the generalized extreme value distribution L Zhang, BA Shaby Biometrika 109 (3), 853-864, 2022 | 4 | 2022 |
| Flexible and efficient spatial extremes emulation via variational autoencoders L Zhang, X Ma, CK Wikle, R Huser arXiv preprint arXiv:2307.08079, 2023 | 3 | 2023 |
| Asymptotic posterior normality of the generalized extreme value distribution L Zhang, BA Shaby arXiv preprint arXiv:2103.05747, 2021 | 2 | 2021 |
| Computing confidence intervals from massive data via penalized quantile smoothing splines L Zhang, E del Castillo, AJ Berglund, MP Tingley, N Govind Computational Statistics & Data Analysis 144, 106885, 2020 | 2 | 2020 |
| Reference priors for the generalized extreme value distribution L Zhang, BA Shaby | 1 | 2024 |
| Explaining the unexplainable: leveraging extremal dependence to characterize the 2021 Pacific Northwest heatwave L Zhang, MD Risser, MF Wehner, TA O'Brien arXiv preprint arXiv:2307.03688, 2023 | | 2023 |
| Topics on Statistical Inference for Extreme Values L Zhang The Pennsylvania State University, 2020 | | 2020 |
