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Journal of Statistical Computation and Simulation|May 13, 2022
Stochastic gradient Langevin dynamics with adaptive driftsSehwan Kim, Qifan Song, Faming LiangJournal 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 LiangNeural Networks : the Official Journal of the International Neural Network Society|July 20, 2024
Deep network embedding with dimension selectionTianning Dong, Yan Sun, Faming LiangStatistics in Medicine|May 1, 2024
Time-varying dynamic Bayesian network learning for an fMRI study of emotion processingLizhe Sun, Aiying Zhang, Faming LiangStatistics and Its Interface|March 22, 2014
Bayesian Analysis for Exponential Random Graph Models Using the Adaptive Exchange SamplerIck Hoon Jin, Ying Yuan, Faming LiangBiostatistics (Oxford, England)|January 7, 2011
Efficient p-value evaluation for resampling-based testsKai Yu, Faming Liang, Julia Ciampa, et al.Biostatistics (Oxford, England)|October 17, 2017
A two-stage approach of gene network analysis for high-dimensional heterogeneous dataSangin Lee, Faming Liang, Ling Cai, et al.Biometrika|July 26, 2021
Extended Stochastic Gradient MCMC for Large-Scale Bayesian Variable SelectionQifan Song, Yan Sun, Mao Ye, et al.Cancer Informatics|May 5, 2017
Integrative Analysis of Gene Networks and Their Application to Lung Adenocarcinoma StudiesSangin Lee, Faming Liang, Ling Cai, et al.Journal of Applied Statistics|August 2, 2023
Identification of factors impacting on the transmission and mortality of COVID-19Peiyi Zhang, Tianning Dong, Ninghui Li, et al.Pageof 256