5 papers
Spatial Aggregation of ROC and Precision-Recall Curves
Romain Pic, Zhongwei Zhang, Sebastian Engelke +1
Receiver Operating Characteristic (ROC) and Precision-Recall (PR) curves are widely used to assess the discrimination ability of forecasts for binary events, such as threshold exce…
Extremal Dependence of Moving Average Processes Driven by Exponential-Tailed Lévy Noise
Zhongwei Zhang, David Bolin, Sebastian Engelke +1
Moving average processes driven by exponential-tailed Lévy noise are important extensions of their Gaussian counterparts in order to capture deviations from Gaussianity, more flexi…
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…
Modeling spatial extremes using normal mean-variance mixtures
Zhongwei Zhang, Raphaël Huser, Thomas Opitz +1
Classical models for multivariate or spatial extremes are mainly based upon the asymptotically justified max-stable or generalized Pareto processes. These models are suitable when…
Tractable Bayes of Skew-Elliptical Link Models for Correlated Binary Data
Zhongwei Zhang, Reinaldo B. Arellano-Valle, Marc G. Genton +1
Correlated binary response data with covariates are ubiquitous in longitudinal or spatial studies. Among the existing statistical models the most well-known one for this type of da…