Jun Liu

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

ORCID: 0000-0002-4450-7239

Department of Statistics, Harvard University, Cambridge, MA

Publications

• False Discovery Rate Control via Data Splitting — Journal of the American Statistical Association 2023
• Controlling False Discovery Rate Using Gaussian Mirrors — Journal of the American Statistical Association 2023
• Kernel-Based Partial Permutation Test for Detecting Heterogeneous Functional Relationship — Journal of the American Statistical Association 2023
• A Scale-Free Approach for False Discovery Rate Control in Generalized Linear Models — Journal of the American Statistical Association 2023
• Partition–Mallows Model and Its Inference for Rank Aggregation — Journal of the American Statistical Association 2023
• Rejoinder: A Scale-free Approach for False Discovery Rate Control in Generalized Linear Models — Journal of the American Statistical Association 2023
• Stratification and optimal resampling for sequential Monte Carlo — Biometrika 2022
• Monte Carlo Approximation of Bayes Factors via Mixing With Surrogate Distributions — Journal of the American Statistical Association 2022
• Neuronized Priors for Bayesian Sparse Linear Regression — Journal of the American Statistical Association 2022
• Bayesian bi-clustering methods with applications in computational biology — The Annals of Applied Statistics 2022
• On the optimality of sliced inverse regression in high dimensions — The Annals of Statistics 2021
• An Extended Mallows Model for Ranked Data Aggregation — Journal of the American Statistical Association 2020
• Sparse Sliced Inverse Regression via Lasso — Journal of the American Statistical Association 2019
• Bayesian hidden Markov tree models for clustering genes with shared evolutionary history — The Annals of Applied Statistics 2019
• Robust Variable and Interaction Selection for Logistic Regression and General Index Models — Journal of the American Statistical Association 2019
• Randomization Inference for Peer Effects — Journal of the American Statistical Association 2019
• Exploring the conformational space for protein folding with sequential Monte Carlo — The Annals of Applied Statistics 2018
• On consistency and sparsity for sliced inverse regression in high dimensions — The Annals of Statistics 2018
• An Adaptive Exchange Algorithm for Sampling From Distributions With Intractable Normalizing Constants — Journal of the American Statistical Association 2016
• Fast parameter estimation in loss tomography for networks of general topology — The Annals of Applied Statistics 2016
• NonparametricK-Sample Tests via Dynamic Slicing — Journal of the American Statistical Association 2015
• Risk Classification With an Adaptive Naive Bayes Kernel Machine Model — Journal of the American Statistical Association 2015
• Bayesian Partition Models for Identifying Expression Quantitative Trait Loci — Journal of the American Statistical Association 2015
• Model selection principles in misspecified models — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2014
• Variable selection for general index models via sliced inverse regression — The Annals of Statistics 2014
• Association pattern discovery via theme dictionary models — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2014
• Bayesian Aggregation of Order-Based Rank Data — Journal of the American Statistical Association 2014
• On the stationary distribution of iterative imputations — Biometrika 2014
• Correlation pursuit: forward stepwise variable selection for index models — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2012
• A Multiresolution Method for Parameter Estimation of Diffusion Processes — Journal of the American Statistical Association 2012
• Block-based Bayesian epistasis association mapping with application to WTCCC type 1 diabetes data — The Annals of Applied Statistics 2011
• Rasch Model and Its Extensions for Analysis of Aphasic Deficits in Syntactic Comprehension — Journal of the American Statistical Association 2011
• Fast and Accurate Approximation to Significance Tests in Genome-Wide Association Studies — Journal of the American Statistical Association 2011
• Bayesian meta-analysis for identifying periodically expressed genes in fission yeast cell cycle — The Annals of Applied Statistics 2010
• Doubly stochastic continuous-time hidden Markov approach for analyzing genome tiling arrays — The Annals of Applied Statistics 2009
• Comment — Journal of the American Statistical Association 2009
• Comment — Journal of the American Statistical Association 2009
• Bayesian Clustering of Transcription Factor Binding Motifs — Journal of the American Statistical Association 2008
• Rejoinder — Journal of the American Statistical Association 2007
• Implementation of Estimating Function-Based Inference Procedures With Markov Chain Monte Carlo Samplers — Journal of the American Statistical Association 2007
• Discussion of “Equi-energy sampler” by Kou, Zhou and Wong — The Annals of Statistics 2006
• Sequential Monte Carlo Methods for Statistical Analysis of Tables — Journal of the American Statistical Association 2005
• Stopping-time resampling for sequential Monte Carlo methods — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2005
• Discovery of Conserved Sequence Patterns Using a Stochastic Dictionary Model — Journal of the American Statistical Association 2003
• A Theory for Dynamic Weighting in Monte Carlo Computation — Journal of the American Statistical Association 2001
• Generalised Gibbs sampler and multigrid Monte Carlo for Bayesian computation — Biometrika 2000
• Mixture Kalman filters — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2000
• The Multiple-Try Method and Local Optimization in Metropolis Sampling — Journal of the American Statistical Association 2000
• Markovian Structures in Biological Sequence Alignments — Journal of the American Statistical Association 1999
• Parameter Expansion for Data Augmentation — Journal of the American Statistical Association 1999
• Rejection Control and Sequential Importance Sampling — Journal of the American Statistical Association 1998
• Sequential Monte Carlo Methods for Dynamic Systems — Journal of the American Statistical Association 1998
• The properties of the cross-match estimate and split sampling — The Annals of Statistics 1997
• Nonparametric hierarchical Bayes via sequential imputations — The Annals of Statistics 1996
• Peskun's theorem and a modified discrete-state Gibbs sampler — Biometrika 1996
• Predictive Updating Methods with Application to Bayesian Classification — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 1996
• Bayesian Models for Multiple Local Sequence Alignment and Gibbs Sampling Strategies — Journal of the American Statistical Association 1995
• Blind Deconvolution via Sequential Imputations — Journal of the American Statistical Association 1995
• Covariance Structure and Convergence Rate of the Gibbs Sampler with Various Scans — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 1995
• Additivity tests for nonlinear autoregression — Biometrika 1995
• Sequential Imputations and Bayesian Missing Data Problems — Journal of the American Statistical Association 1994
• Covariance structure of the Gibbs sampler with applications to the comparisons of estimators and augmentation schemes — Biometrika 1994
• The Collapsed Gibbs Sampler in Bayesian Computations with Applications to a Gene Regulation Problem — Journal of the American Statistical Association 1994
• Weighted finite population sampling to maximize entropy — Biometrika 1994
• Linear Combinations of Multiple Diagnostic Markers — Journal of the American Statistical Association 1993