Faming Liang

25 catalog papers. Identity-linked publications and additional name matches are distinguished below.

ORCID: 0000-0002-1177-5501

Department of Statistics, Purdue University

Publications

• Extended fiducial inference: toward an automated process of statistical inference — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2025
• Consistent Sparse Deep Learning: Theory and Computation — Journal of the American Statistical Association 2022
• A kernel-expanded stochastic neural network — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2022
• Markov Neighborhood Regression for High-Dimensional Inference — Journal of the American Statistical Association 2022
• Extended stochastic gradient Markov chain Monte Carlo for large-scale Bayesian variable selection — Biometrika 2020
• A Bayesian mark interaction model for analysis of tumor pathology images — The Annals of Applied Statistics 2019
• Bayesian Neural Networks for Selection of Drug Sensitive Genes — Journal of the American Statistical Association 2018
• An imputation–regularized optimization algorithm for high dimensional missing data problems and beyond — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2018
• An Adaptive Exchange Algorithm for Sampling From Distributions With Intractable Normalizing Constants — Journal of the American Statistical Association 2016
• An Equivalent Measure of Partial Correlation Coefficients for High-Dimensional Gaussian Graphical Models — Journal of the American Statistical Association 2015
• A split-and-merge Bayesian variable selection approach for ultrahigh dimensional regression — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2015
• High-Dimensional Variable Selection With ReciprocalL1-Regularization — Journal of the American Statistical Association 2015
• Simulated Stochastic Approximation Annealing for Global Optimization With a Square-Root Cooling Schedule — Journal of the American Statistical Association 2014
• Sea Surface Temperature Modeling using Radial Basis Function Networks With a Dynamically Weighted Particle Filter — Journal of the American Statistical Association 2013
• A Resampling-Based Stochastic Approximation Method for Analysis of Large Geostatistical Data — Journal of the American Statistical Association 2013
• Bayesian Subset Modeling for High-Dimensional Generalized Linear Models — Journal of the American Statistical Association 2013
• Intrinsic Regression Models for Medial Representation of Subcortical Structures — Journal of the American Statistical Association 2012
• Trajectory averaging for stochastic approximation MCMC algorithms — The Annals of Statistics 2010 (name-matched, not ORCID-linked)
• Estimating the false discovery rate using the stochastic approximation algorithm — Biometrika 2008
• Stochastic Approximation in Monte Carlo Computation — Journal of the American Statistical Association 2007
• A Generalized Wang–Landau Algorithm for Monte Carlo Computation — Journal of the American Statistical Association 2005
• Dynamically Weighted Importance Sampling in Monte Carlo Computation — Journal of the American Statistical Association 2002
• Real-Parameter Evolutionary Monte Carlo With Applications to Bayesian Mixture Models — Journal of the American Statistical Association 2001
• A Theory for Dynamic Weighting in Monte Carlo Computation — Journal of the American Statistical Association 2001
• The Multiple-Try Method and Local Optimization in Metropolis Sampling — Journal of the American Statistical Association 2000