148 citations · 173 across the 9 of their papers we have counts for
4 papers · 1 filter
Cross-Semantic Transfer Learning for High-Dimensional Linear Regression
Jiancheng Jiang, Xuejun Jiang, Hongxia Jin
Current transfer learning methods for high-dimensional linear regression assume feature alignment across domains, restricting their applicability to semantically matched features.…
Nonnested model selection based on empirical likelihood
Jiancheng Jiang, Jiang Xuejun, Wang Haofeng
We propose an empirical likelihood ratio test for nonparametric model selection, where the competing models may be nested, nonnested, overlapping, misspecified, or correctly specif…
Feature Augmentation via Nonparametrics and Selection (FANS) in High Dimensional Classification
Jianqing Fan, Yang Feng, Jiancheng Jiang +1
We propose a high dimensional classification method that involves nonparametric feature augmentation. Knowing that marginal density ratios are the most powerful univariate classifi…
SiZer for Censored Density and Hazard Estimation
Jiancheng Jiang, J. S. Marron
The SiZer method is extended to nonparametric hazard estimation and also to censored density and hazard estimation. The new method allows quick, visual statistical inference about…