7 citations · 8 across the 6 of their papers we have counts for
4 papers · 1 filter
Spatial modeling and future projection of extreme precipitation extents
Peng Zhong, Manuela Brunner, Thomas Opitz +1
Extreme precipitation events with large spatial extents may have more severe impacts than localized events as they can lead to widespread flooding. It is debated how climate change…
Partial Tail-Correlation Coefficient Applied to Extremal-Network Learning
Yan Gong, Peng Zhong, Thomas Opitz +1
We propose a novel extremal dependence measure called the partial tail-correlation coefficient (PTCC), in analogy to the partial correlation coefficient in classical multivariate a…
Vecchia Likelihood Approximation for Accurate and Fast Inference in Intractable Spatial Extremes Models
Raphaël Huser, Michael L. Stein, Peng Zhong
Max-stable processes are the most popular models for high-impact spatial extreme events, as they arise as the only possible limits of spatially-indexed block maxima. However, likel…
Joint Modeling and Prediction of Massive Spatio-Temporal Wildfire Count and Burnt Area Data with the INLA-SPDE Approach
Zhongwei Zhang, Elias Krainski, Peng Zhong +2
This paper describes the methodology used by the team RedSea in the data competition organized for EVA 2021 conference. We develop a novel two-part model to jointly describe the wi…