Refereed Journal Articles
Yu Zheng and Leo L. Duan. (2025). Gibbs Sampling using Anti-correlation Gaussian Data Augmentation, with Applications to L1-ball-type Models. Journal of Computational and Graphical Statistics, 34(4), 1601–1611. arXiv:2309.09371.
Manuscripts Under Review
Yu Zheng, Malay Ghosh, and Leo L. Duan. Statistical Modeling of Combinatorial Response Data. arXiv:2504.11630. Journal of the American Statistical Association, revision submitted.
Yu Zheng, Leo L. Duan, and Arkaprava Roy. Consistency of Graphical Model-based Clustering: Robust Clustering using Bayesian Spanning Forest. arXiv:2409.19129. Bernoulli, revision submitted.
In Preparation
Yu Zheng and Leo L. Duan. Extended Aldous–Broder theorem. Draft forthcoming.
Contributed Talks
The Bayesian Young Statisticians Meeting (BAYSM 2025), virtual conference (Apr 10, 2025). slides Consistency of Graphical Model-based Clustering: Robust Clustering using Bayesian Spanning Forest.
Student seminar, University of Florida, Gainesville, FL (Feb 27, 2024).
Joint Statistical Meetings (JSM 2023), Toronto, Canada (Aug 6, 2023). slides Blocked Gibbs Sampling for L1-ball Priors: an Efficient Computation for Structuredly Sparse Models.
Posters
Theory and Foundations of Statistics in the Era of Big Data, Florida State University, Tallahassee, FL (Apr 20, 2024). poster Gibbs Sampling using Anti-correlation Gaussian Data Augmentation, with Applications to L1-ball-type Models.