Jun S Liu
Harvard University
H-index: 95
North America-United States
Top articles of Jun S Liu
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Varying Coefficient Model via Adaptive Spline Fitting | Journal of Computational and Graphical Statistics | Xufei Wang Bo Jiang Jun S Liu | 2023/10/6 |
Generative Multi-purpose Sampler for Weighted M-estimation | Journal of Computational and Graphical Statistics | Minsuk Shin Shijie Wang Jun S Liu | 2024/1/16 |
Controlling False Discovery Rate Using Gaussian Mirrors | Journal of the American Statistical Association | Xin Xing Zhigen Zhao Jun S Liu | 2023/1/2 |
Discovery of Targets for Immune–Metabolic Antitumor Drugs Identifies Estrogen-Related Receptor Alpha | Cancer discovery | Avinash Sahu Xiaoman Wang Phillip Munson Jan PG Klomp Xiaoqing Wang | 2023/3/1 |
Partition–Mallows Model and Its Inference for Rank Aggregation | Journal of the American Statistical Association | Wanchuang Zhu Yingkai Jiang Jun S Liu Ke Deng | 2023/1/2 |
PhyloAcc-GT: A Bayesian method for inferring patterns of substitution rate shifts and associations with binary traits under gene tree discordance | Molecular Biology and Evolution | Han Yan Zhirui Hu Gregg WC Thomas Scott V Edwards Timothy B Sackton | 2023/9 |
Kernel-based Partial Permutation Test for Detecting Heterogeneous Functional Relationship | Journal of the American Statistical Association | Xinran Li Bo Jiang Jun S Liu | 2023/4/3 |
False discovery rate control via data splitting | Journal of the American Statistical Association | Chenguang Dai Buyu Lin Xin Xing Jun S Liu | 2023/10/2 |
Monotone Cubic B-Splines | arXiv preprint arXiv:2307.01748 | Lijun Wang Xiaodan Fan Huabai Li Jun S Liu | 2023/7/4 |
A Scale-free Approach for False Discovery Rate Control in Generalized Linear Models | Journal of the American Statistical Association | Chenguang Dai Buyu Lin Xin Xing Jun S Liu | 2023/7/3 |
Measurement error models: from nonparametric methods to deep neural networks | Statistical Science | Zhirui Hu Zheng Tracy Ke Jun S Liu | 2022/11 |
On Posterior Consistency of Bayesian Factor Models in High Dimensions | Bayesian Analysis | Yucong Ma Jun S Liu | 2022 |
Bayesian bi-clustering methods with applications in computational biology | The Annals of Applied Statistics | Han Yan Jiexing Wu Yang Li Jun S Liu | 2022/12 |
Monte Carlo Approximation of Bayes Factors via Mixing with Surrogate Distributions | Journal of the American Statistical Association | Chenguang Dai Jun S. Liu | 2022 |
Multi-Cell-Type Openness-Weighted Association Studies for Trait-Associated Genomic Segments Prioritization | Genes | Shuang Song Hongyi Sun Jun S Liu Lin Hou | 2022/7 |
Neuronized Priors for Bayesian Sparse Linear Regression | Journal of the American Statistical Association (in press) | Minsuk Shin Jun S Liu | 2022 |
A data-adaptive Bayesian regression approach for polygenic risk prediction | Bioinformatics | Shuang Song Lin Hou Jun S Liu | 2022/4 |
Bayesian Analysis of Rank Data with Covariates and Heterogeneous Rankers | Statistical Science [ISSN 0883-4237 (print); ISSN 2168-8745 (online)] | Marco Oesting Kirstin Strokorb Pierre Barbillon Arindam Fadikar Robert B Gramacy | 2022/2 |
Stratification and Optimal Resampling for Sequential Monte Carlo | Biometrika | Yichao Li Wenshuo Wang Ke Deng Jun S Liu | 2021/2/10 |
Total-effect test is superfluous for establishing complementary mediation | Statistica Sinica | Yingkai Jiang Xinshu Zhao Lixing Zhu Jun S Liu Ke Deng | 2021/1/1 |
Co-Authors
