Jong-Min Kim

A Copula-Tensor Neural Network Framework for High-Dimensional Causal Inference

It is suggested that copula-based feature representations combined with deep learning provide a flexible approach for heterogeneous treatment effect estimation, particularly in high-dimensional settings with complex covariate dependence.