237 citations · 883 across the 24 of their papers we have counts for
8 papers · 1 filter
Nonlinear function-on-function regression by RKHS
Peijun Sang, Bing Li
We propose a nonlinear function-on-function regression model where both the covariate and the response are random functions. The nonlinear regression is carried out in two steps: w…
Nonlinear Sufficient Dimension Reduction for Distribution-on-Distribution Regression
Qi Zhang, Bing Li, Lingzhou Xue
We introduce a new approach to nonlinear sufficient dimension reduction in cases where both the predictor and the response are distributional data, modeled as members of a metric s…
Simultaneous Estimation of Graphical Models by Neighborhood Selection
Ilias Moysidis, Bing Li
In many applications concerning statistical graphical models the data originate from several subpopulations that share similarities but have also significant differences. This rais…
An additive graphical model for discrete data
Jun Tao, Bing Li, Lingzhou Xue
We introduce a nonparametric graphical model for discrete node variables based on additive conditional independence. Additive conditional independence is a three way statistical re…
Joint Functional Gaussian Graphical Models
Ilias Moysidis, Bing Li
Functional graphical models explore dependence relationships of random processes. This is achieved through estimating the precision matrix of the coefficients from the Karhunen-Loe…
On Forward Sufficient Dimension Reduction for Categorical and Ordinal Responses
Harris Quach, Bing Li
We present a forward sufficient dimension reduction method for categorical or ordinal responses by extending the outer product of gradients and minimum average variance estimator t…