Yang Ni
21 catalog papers. Identity-linked publications and additional name matches are distinguished below.
ORCID: 0000-0003-0636-2363
The University of Texas at Austin, Austin, TX
Publications
- Sparse Semiparametric Discriminant Analysis for High-dimensional Zero-inflated Data — Journal of Machine Learning Research 2025 (name-matched, not ORCID-linked)
- Bayesian differential causal directed acyclic graphs for observational zero-inflated counts with an application to two-sample single-cell data — The Annals of Applied Statistics 2025
- Global-local Dirichlet processes for identifying pan-cancer subpopulations using both shared and cancer-specific data — The Annals of Applied Statistics 2025
- 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)
- Covariate-Assisted Bayesian Graph Learning for Heterogeneous Data — Journal of the American Statistical Association 2024
- Graphical Dirichlet Process for Clustering Non-Exchangeable Grouped Data — Journal of Machine Learning Research 2024 (name-matched, not ORCID-linked)
- Handbook of Bayesian Variable Selection — 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
- Model-based Causal Discovery for Zero-Inflated Count Data — Journal of Machine Learning Research 2023 (name-matched, not ORCID-linked)
- Phylogenetically informed Bayesian truncated copula graphical models for microbial association networks — The Annals of Applied Statistics 2022
- Bayesian Covariate-Dependent Gaussian Graphical Models with Varying Structure — Journal of Machine Learning Research 2022 (name-matched, not ORCID-linked)
- Bayesian Thinking in Biostatistics. — Journal of the American Statistical Association 2022
- BAGEL: A Bayesian graphical model for inferring drug effect longitudinally on depression in people with HIV — The Annals of Applied Statistics 2022
- Bayesian Double Feature Allocation for Phenotyping With Electronic Health Records — Journal of the American Statistical Association 2020
- Bayesian Hierarchical Varying-Sparsity Regression Models with Application to Cancer Proteogenomics — Journal of the American Statistical Association 2019
- Bayesian Graphical Regression — Journal of the American Statistical Association 2019
- Sparse Multi-Dimensional Graphical Models: A Unified Bayesian Framework — Journal of the American Statistical Association 2017
- Does Information Asymmetry Matter to Equity Pricing? Evidence from Firms’ Geographic Location* — Contemporary Accounting Research 2013
- Does Religion Matter to Equity Pricing? — Journal of Business Ethics 2012
- Bayesian Precision Medicine. — Journal of the American Statistical Association
- Double Generalized Linear Models: Likelihood and Bayesian Methods — Journal of the American Statistical Association