Nonlinear and Non-Gaussian Graphical Models

Faming Liang, Bochao Jia · 2023

This chapter introduces a double regression method for learning high-dimensional nonlinear and non-Gaussian graphical models based on the work [ 101 ]. The method is very general, which, in theory, can be applied to any type of data provided that the required variable selection/screening procedure and conditional independence test are available.

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