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Molei Liu

Showing results (1-10 of 39) with videos related to

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Biometrics|May 16, 2025
Robust and efficient semi-supervised learning for Ising modelDaiqing Wu, Molei Liu
Journal of the American Statistical Association|November 17, 2023
Individual Data Protected Integrative Regression Analysis of High-Dimensional Heterogeneous DataTianxi Cai, Molei Liu, Yin Xia
The Econometrics Journal|January 15, 2024
Double/debiased machine learning for logistic partially linear modelMolei Liu, Y I Zhang, Doudou Zhou
Journal of the American Statistical Association|June 16, 2025
Semi-supervised Triply Robust Inductive Transfer LearningTianxi Cai, Mengyan Li, Molei Liu
Statistics in Medicine|May 26, 2018
Modeling individualized coefficient alpha to measure quality of test score dataMolei Liu, Ming Hu, Xiao-Hua Zhou
Biometrika|July 7, 2023
Fast and powerful conditional randomization testing via distillationMolei Liu, Eugene Katsevich, Lucas Janson, et al.
Journal of the American Statistical Association|April 30, 2025
Doubly Robust Augmented Model Accuracy Transfer Inference with High Dimensional FeaturesDoudou Zhou, Molei Liu, Mengyan Li, et al.
Journal of Machine Learning Research : JMLR|November 17, 2023
Prior Adaptive Semi-supervised Learning with Application to EHR PhenotypingYichi Zhang, Molei Liu, Matey Neykov, et al.
Journal of Machine Learning Research : JMLR|July 10, 2023
Integrative High Dimensional Multiple Testing with Heterogeneity under Data Sharing ConstraintsMolei Liu, Yin Xia, Kelly Cho, et al.
Journal of the Royal Statistical Society. Series B, Statistical Methodology|October 24, 2022
Efficient Evaluation of Prediction Rules in Semi-Supervised Settings under Stratified SamplingJessica Gronsbell, Molei Liu, Lu Tian, et al.
Pageof 4

Showing results (1-10 of 39) with videos related to

Sort By:
Pageof 4
Biometrics|May 16, 2025
Robust and efficient semi-supervised learning for Ising modelDaiqing Wu, Molei Liu
Journal of the American Statistical Association|November 17, 2023
Individual Data Protected Integrative Regression Analysis of High-Dimensional Heterogeneous DataTianxi Cai, Molei Liu, Yin Xia
The Econometrics Journal|January 15, 2024
Double/debiased machine learning for logistic partially linear modelMolei Liu, Y I Zhang, Doudou Zhou
Journal of the American Statistical Association|June 16, 2025
Semi-supervised Triply Robust Inductive Transfer LearningTianxi Cai, Mengyan Li, Molei Liu
Statistics in Medicine|May 26, 2018
Modeling individualized coefficient alpha to measure quality of test score dataMolei Liu, Ming Hu, Xiao-Hua Zhou
Biometrika|July 7, 2023
Fast and powerful conditional randomization testing via distillationMolei Liu, Eugene Katsevich, Lucas Janson, et al.
Journal of the American Statistical Association|April 30, 2025
Doubly Robust Augmented Model Accuracy Transfer Inference with High Dimensional FeaturesDoudou Zhou, Molei Liu, Mengyan Li, et al.
Journal of Machine Learning Research : JMLR|November 17, 2023
Prior Adaptive Semi-supervised Learning with Application to EHR PhenotypingYichi Zhang, Molei Liu, Matey Neykov, et al.
Journal of Machine Learning Research : JMLR|July 10, 2023
Integrative High Dimensional Multiple Testing with Heterogeneity under Data Sharing ConstraintsMolei Liu, Yin Xia, Kelly Cho, et al.
Journal of the Royal Statistical Society. Series B, Statistical Methodology|October 24, 2022
Efficient Evaluation of Prediction Rules in Semi-Supervised Settings under Stratified SamplingJessica Gronsbell, Molei Liu, Lu Tian, et al.
Pageof 4