Yanxun Xu

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

ORCID: 0000-0001-5554-8637

Johns Hopkins University

Publications

• Bayesian Sparse Gaussian Mixture Model for Clustering in High Dimensions — Journal of Machine Learning Research 2025 (name-matched, not ORCID-linked)
• Directed Cyclic Graphs for Simultaneous Discovery of Time-Lagged and Instantaneous Causality from Longitudinal Data Using Instrumental Variables — Journal of Machine Learning Research 2025 (name-matched, not ORCID-linked)
• Efficient Estimation for Random Dot Product Graphs via a One-Step Procedure — Journal of the American Statistical Association 2023
• A Bayesian decision framework for optimizing sequential combination antiretroviral therapy in people with HIV — The Annals of Applied Statistics 2023
• Weibull Racing Survival Analysis with Competing Events, Left Truncation, and Time-Varying Covariates — Journal of Machine Learning Research 2023 (name-matched, not ORCID-linked)
• BAGEL: A Bayesian graphical model for inferring drug effect longitudinally on depression in people with HIV — The Annals of Applied Statistics 2022
• Bayesian Projected Calibration of Computer Models — Journal of the American Statistical Association 2021
• Optimal Bayesian estimation for random dot product graphs — Biometrika 2020
• Bayesian Repulsive Gaussian Mixture Model — Journal of the American Statistical Association 2020
• BayCount: A Bayesian decomposition method for inferring tumor heterogeneity using RNA-Seq counts — The Annals of Applied Statistics 2018
• Bayesian Nonparametric Estimation for Dynamic Treatment Regimes With Sequential Transition Times — Journal of the American Statistical Association 2016
• Rejoinder — Journal of the American Statistical Association 2016
• MAD Bayes for Tumor Heterogeneity—Feature Allocation With Exponential Family Sampling — Journal of the American Statistical Association 2015