A Hierarchical Max-Infinitely Divisible Spatial Model for Extreme Precipitation

Understanding the spatial extent of extreme precipitation is necessary for determining flood risk and adequately designing infrastructure (e.g., stormwater pipes) to withstand such hazards. While e…

Local Likelihood Estimation of Complex Tail Dependence Structures, Applied to…

To disentangle the complex nonstationary dependence structure of precipitation extremes over the entire contiguous United States (U.S.), we propose a flexible local approach based on factor copula …

Bayesian Model Averaging Over Tree-based Dependence Structures for Multivaria…

Describing the complex dependence structure of extreme phenomena is particularly challenging. To tackle this issue, we develop a novel statistical method that describes extremal dependence taking a…

Modeling Spatial Processes with Unknown Extremal Dependence Class

Factor Copula Models for Replicated Spatial Data

High-Order Composite Likelihood Inference for Max-Stable Distributions and Pr…

Nonstationary Positive Definite Tapering On The Plane