activity
20052023
most citedContour regression: A general approach to dimension reduction

237 citations · 883 across the 24 of their papers we have counts for

collaborators

24 papers

stat.ML2023★ 1 cited

On Sufficient Graphical Models

Bing Li, Kyongwon Kim

We introduce a sufficient graphical model by applying the recently developed nonlinear sufficient dimension reduction techniques to the evaluation of conditional independence. The…

math.ST2023★ 3 cited

A nonparametric test for elliptical distribution based on kernel embedding of probabilities

Yin Tang, Bing Li

Elliptical distribution is a basic assumption underlying many multivariate statistical methods. For example, in sufficient dimension reduction and statistical graphical models, thi…

stat.ML2023

Mean Parity Fair Regression in RKHS

Shaokui Wei, Jiayin Liu, Bing Li +1

We study the fair regression problem under the notion of Mean Parity (MP) fairness, which requires the conditional mean of the learned function output to be constant with respect t…

stat.ME2022★ 4 cited

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…

stat.ME2022★ 1 cited

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…

stat.ME2022

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…