Stebėti
Chunlin Li
Pavadinimas
Cituota
Cituota
Metai
Likelihood Ratio Tests for a Large Directed Acyclic Graph
C Li, X Shen, W Pan
Journal of the American Statistical Association 115 (531), 1304-1319, 2020
212020
Nonlinear Causal Discovery with Confounders
C Li, X Shen, W Pan
Journal of the American Statistical Association, 1-21, 2023
92023
Inference for a Large Directed Acyclic Graph with Unspecified Interventions
C Li, X Shen, W Pan
Journal of Machine Learning Research 24 (73), 1-48, 2023
8*2023
Inference of nonlinear causal effects with application to TWAS with GWAS summary data
B Dai, C Li, H Xue, W Pan, X Shen
Causal Learning and Reasoning, 793-826, 2024
1*2024
Discovery and Inference of a Causal Network with Hidden Confounding
L Chen, C Li, X Shen, W Pan
Journal of the American Statistical Association, 1-27, 2023
12023
Inferring a directed acyclic graph of phenotypes from GWAS summary statistics
R Zilinskas, C Li, X Shen, W Pan, T Yang
Biometrics 80 (1), ujad039, 2024
2024
Data-adaptive Discriminative Feature Localization with Statistically Guaranteed Interpretation
B Dai, X Shen, LY Chen, C Li, W Pan
The Annals of Applied Statistics 17 (3), 2019-2038, 2023
2023
RankSEG: A Consistent Ranking-based Framework for Segmentation
B Dai, C Li
Journal of Machine Learning Research 24 (224), 1-50, 2023
2023
Speeding up Interval Estimation for R2-based Mediation Effect of High-dimensional Mediators via Cross-fitting
Z Xu, C Li, S Chi, T Yang, P Wei
bioRxiv, 2023.02. 06.527391, 2023
2023
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