7 citations · 8 across the 6 of their papers we have counts for
5 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…
Exact Simulation of Max-Infinitely Divisible Processes
Peng Zhong, Raphaël Huser, Thomas Opitz
Max-infinitely divisible (max-id) processes play a central role in extreme-value theory and include the subclass of all max-stable processes. They allow for a constructive represen…
Modeling Non-Stationary Temperature Maxima Based on Extremal Dependence Changing with Event Magnitude
Peng Zhong, Raphaël Huser, Thomas Opitz
The modeling of spatio-temporal trends in temperature extremes can help better understand the structure and frequency of heatwaves in a changing climate. Here, we study annual temp…