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Faming Liang

Showing results (31-40 of 72) with videos related to

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Journal of the Royal Statistical Society. Series B, Statistical Methodology|February 12, 2025
Extended fiducial inference: toward an automated process of statistical inferenceFaming Liang, Sehwan Kim, Yan Sun
BMC Bioinformatics|October 28, 2009
Bayesian modeling of ChIP-chip data using latent variablesMingqi Wu, Faming Liang, Yanan Tian
Journal of the Royal Statistical Society. Series C, Applied Statistics|August 9, 2017
Biomarker detection and categorization in ribonucleic acid sequencing meta-analysis using Bayesian hierarchical modelsTianzhou Ma, Faming Liang, George Tseng
Plos One|February 28, 2019
Drug sensitivity prediction with high-dimensional mixture regressionQianyun Li, Runmin Shi, Faming Liang
Journal of the American Statistical Association|March 22, 2023
Consistent Sparse Deep Learning: Theory and ComputationYan Sun, Qifan Song, Faming Liang
Statistica Sinica|April 25, 2025
A New Paradigm for Generative Adversarial Networks based on Randomized Decision RulesSehwan Kim, Qifan Song, Faming Liang
Journal of the American Statistical Association|July 30, 2019
Bayesian Neural Networks for Selection of Drug Sensitive GenesFaming Liang, Qizhai Li, Lei Zhou
Neural Computation|April 14, 2019
Learning Moral Graphs in Construction of High-Dimensional Bayesian Networks for Mixed DataSuwa Xu, Bochao Jia, Faming Liang
Journal of Statistical Computation and Simulation|May 13, 2022
Stochastic gradient Langevin dynamics with adaptive driftsSehwan Kim, Qifan Song, Faming Liang
Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America|January 19, 2024
A Stochastic Approximation-Langevinized Ensemble Kalman Filter Algorithm for State Space Models with Unknown ParametersTianning Dong, Peiyi Zhang, Faming Liang
Pageof 8

Showing results (31-40 of 72) with videos related to

Sort By:
Pageof 8
Journal of the Royal Statistical Society. Series B, Statistical Methodology|February 12, 2025
Extended fiducial inference: toward an automated process of statistical inferenceFaming Liang, Sehwan Kim, Yan Sun
BMC Bioinformatics|October 28, 2009
Bayesian modeling of ChIP-chip data using latent variablesMingqi Wu, Faming Liang, Yanan Tian
Journal of the Royal Statistical Society. Series C, Applied Statistics|August 9, 2017
Biomarker detection and categorization in ribonucleic acid sequencing meta-analysis using Bayesian hierarchical modelsTianzhou Ma, Faming Liang, George Tseng
Plos One|February 28, 2019
Drug sensitivity prediction with high-dimensional mixture regressionQianyun Li, Runmin Shi, Faming Liang
Journal of the American Statistical Association|March 22, 2023
Consistent Sparse Deep Learning: Theory and ComputationYan Sun, Qifan Song, Faming Liang
Statistica Sinica|April 25, 2025
A New Paradigm for Generative Adversarial Networks based on Randomized Decision RulesSehwan Kim, Qifan Song, Faming Liang
Journal of the American Statistical Association|July 30, 2019
Bayesian Neural Networks for Selection of Drug Sensitive GenesFaming Liang, Qizhai Li, Lei Zhou
Neural Computation|April 14, 2019
Learning Moral Graphs in Construction of High-Dimensional Bayesian Networks for Mixed DataSuwa Xu, Bochao Jia, Faming Liang
Journal of Statistical Computation and Simulation|May 13, 2022
Stochastic gradient Langevin dynamics with adaptive driftsSehwan Kim, Qifan Song, Faming Liang
Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America|January 19, 2024
A Stochastic Approximation-Langevinized Ensemble Kalman Filter Algorithm for State Space Models with Unknown ParametersTianning Dong, Peiyi Zhang, Faming Liang
Pageof 8