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Min Jin Ha

Showing results (1-10 of 57) with videos related to

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Biometrics|May 22, 2014
Partial correlation matrix estimation using ridge penalty followed by thresholding and re-estimationMin Jin Ha, Wei Sun
Biostatistics (Oxford, England)|January 1, 2019
Estimation of high-dimensional directed acyclic graphs with surrogate interventionMin Jin Ha, Wei Sun
Statistical Analysis and Data Mining|May 2, 2022
Sample Selection Bias in Evaluation of Prediction Performance of Causal ModelsJames P Long, Min Jin Ha
Biometrics|September 26, 2015
PenPC: A two-step approach to estimate the skeletons of high-dimensional directed acyclic graphsMin Jin Ha, Wei Sun, Jichun Xie
Bioinformatics (Oxford, England)|July 8, 2015
DINGO: differential network analysis in genomicsMin Jin Ha, Veerabhadran Baladandayuthapani, Kim-Anh Do
Cancer Informatics|April 11, 2015
Prognostic gene signature identification using causal structure learning: applications in kidney cancerMin Jin Ha, Veerabhadran Baladandayuthapani, Kim-Anh Do
Journal of the American Statistical Association|July 9, 2021
Bayesian Structure Learning in Multi-layered Genomic NetworksMin Jin Ha, Francesco Claudio Stingo, Veerabhadran Baladandayuthapani
Biometrics|December 12, 2025
Joint Bayesian additive regression trees for multiple nonlinear dependency networksLicai Huang, Christine B Peterson, Min Jin Ha
Annals of Medicine|October 27, 2025
The impact of sleep duration on the incidence of new-onset chronic kidney disease in community-dwelling adults: a nationwide cohort studyJung-Hwan Kim, Min-Jin Ha, Dong-Woo Choi, et al.
Electronic Journal of Statistics|July 3, 2024
Estimating causal effects with hidden confounding using instrumental variables and environmentsJames P Long, Hongxu Zhu, Kim-Anh Do, et al.
Pageof 6

Showing results (1-10 of 57) with videos related to

Sort By:
Pageof 6
Biometrics|May 22, 2014
Partial correlation matrix estimation using ridge penalty followed by thresholding and re-estimationMin Jin Ha, Wei Sun
Biostatistics (Oxford, England)|January 1, 2019
Estimation of high-dimensional directed acyclic graphs with surrogate interventionMin Jin Ha, Wei Sun
Statistical Analysis and Data Mining|May 2, 2022
Sample Selection Bias in Evaluation of Prediction Performance of Causal ModelsJames P Long, Min Jin Ha
Biometrics|September 26, 2015
PenPC: A two-step approach to estimate the skeletons of high-dimensional directed acyclic graphsMin Jin Ha, Wei Sun, Jichun Xie
Bioinformatics (Oxford, England)|July 8, 2015
DINGO: differential network analysis in genomicsMin Jin Ha, Veerabhadran Baladandayuthapani, Kim-Anh Do
Cancer Informatics|April 11, 2015
Prognostic gene signature identification using causal structure learning: applications in kidney cancerMin Jin Ha, Veerabhadran Baladandayuthapani, Kim-Anh Do
Journal of the American Statistical Association|July 9, 2021
Bayesian Structure Learning in Multi-layered Genomic NetworksMin Jin Ha, Francesco Claudio Stingo, Veerabhadran Baladandayuthapani
Biometrics|December 12, 2025
Joint Bayesian additive regression trees for multiple nonlinear dependency networksLicai Huang, Christine B Peterson, Min Jin Ha
Annals of Medicine|October 27, 2025
The impact of sleep duration on the incidence of new-onset chronic kidney disease in community-dwelling adults: a nationwide cohort studyJung-Hwan Kim, Min-Jin Ha, Dong-Woo Choi, et al.
Electronic Journal of Statistics|July 3, 2024
Estimating causal effects with hidden confounding using instrumental variables and environmentsJames P Long, Hongxu Zhu, Kim-Anh Do, et al.
Pageof 6