3 papers
stat.ME2025
Causal Spatial Quantile Regression
Yan Gong, Reetam Majumder, Brian J. Reich +1
Treatment effects in a wide range of economic, environmental, and epidemiological applications often vary across space, and understanding the heterogeneity of causal effects across…
stat.ME2022
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…
stat.ME2022
Flexible Modeling of Multivariate Spatial Extremes
Yan Gong, Raphaël Huser
We develop a novel multi-factor copula model for multivariate spatial extremes, which is designed to capture the different combinations of marginal and cross-extremal dependence st…