78 citations · 85 across the 4 of their papers we have counts for
4 papers
Functional Linear Non-Gaussian Acyclic Model for Causal Discovery
Tian-Le Yang, Kuang-Yao Lee, Kun Zhang +1
In causal discovery, non-Gaussianity has been used to characterize the complete configuration of a Linear Non-Gaussian Acyclic Model (LiNGAM), encompassing both the causal ordering…
Sliced Inverse Regression in Metric Spaces
Joni Virta, Kuang-Yao Lee, Lexin Li
In this article, we propose a general nonlinear sufficient dimension reduction (SDR) framework when both the predictor and response lie in some general metric spaces. We construct…
Ultrahigh Dimensional Feature Selection via Kernel Canonical Correlation Analysis
Tianqi Liu, Kuang-Yao Lee, Hongyu Zhao
High-dimensional variable selection is an important issue in many scientific fields, such as genomics. In this paper, we develop a sure independence feature screening pro- cedure b…
A general theory for nonlinear sufficient dimension reduction: Formulation and estimation
Kuang-Yao Lee, Bing Li, Francesca Chiaromonte
In this paper we introduce a general theory for nonlinear sufficient dimension reduction, and explore its ramifications and scope. This theory subsumes recent work employing reprod…