Preprint

• Chih-Yu Lai, Yu-Chien Ning, Duane S Boning, "RDIT: Residual-based diffusion implicit models for probabilistic time series forecasting." [arXiv]..
• Yu-Chien Bo Ning, Xin Zhou, Francine Laden, and Molin Wang, "Bayesian ensemble learning method for the analysis of multi-pollutant mixtures data." Under review.
• Cheng-Han Hsieh, Hector G. Arce, Kaitlin M. Kratter, Yu-Chien Bo Ning, Stella S. R. Offner, Maria Jose Maureira, and Michael M. Dunham, "Towards an Observed Protostellar Mass Function for Class 0 Sources: A Method Derived from Jet Properties" 22 pages

Publications

Statistical methodology and theory

• Yu-Chien Bo Ning, 2025, "Empirical Bayes large-scale multiple testing for high-dimensional sparse binary sequences" Bernoulli, 32(2): 1285-1302 [Link] [arXiv].
• Yu-Chien Bo Ning and Ning Ning , 2023. "Spike and slab Bayesian sparse principal component analysis." Statistics and Computing, 34(118):118-134. [arXiv]
• Yu-Chien Bo Ning and Ismaël Castillo, 2023, "Bayesian multiscale analysis of the Cox model." Bernoulli, 30(2):1525-1554. [Supplmental Material] [arXiv].
• Ryan Martin and Yu-Chien Bo Ning, 2020. "Empirical priors and coverage of posterior credible sets in a sparse normal mean model." Sankhyā A (Special issue in honor of J.K. Ghosh), 82(2):477-498. [Link] [arXiv]
• Yu-Chien Bo Ning, Seonghyun Jeong, and Subhashis Ghosal, 2020, "Bayesian linear regression for multivariate responses under group sparsity", Bernoulli, 26(3):2353-2382. [Link] [arXiv] [Supplemental material]
• Yu-Chien Bo Ning, Subhashis Ghosal and Jewell Thomas, 2019. "Bayesian method for causal inference in spatially-correlated multivariate time series.", Bayesian Analysis, 14:1-28. [Link] [arXiv] [Supplemental material] [R code]

Data science

• Yu-Chien Bo Ning, Alexander Wise, Jessi Cisewski-Kehe, Sarah Dodson-Robinson, and Debra Fischer, 2020, "Identifying activity-sensitive spectral lines: A Bayesian variable selection approach." The Astronomical Journal, 158(5):15pp. [Link] [R code]
• Shubham Kanodia, Angie Wolfgang, Gudmundur K. Stefansson, Yu-Chien Bo Ning, and Suvrath Mahadevan, 2019, "Mass-Radius relationship for M dwarf exoplanets: Comparing nonparametric and parametric methods." The Astrophysical Journal, 882(1):14pp. [Link] [Python package]
• Yu-Chien Bo Ning, Angie Wolfgang and Sujit Ghosh, 2018, "Predicting exoplanet masses and radii: A nonparametric approach." The Astrophysical Journal, 869(5):16pp. [Link] [arXiv] [R code]

Software packages

• Shuyu Guo and Yu-Chien Bo Ning, 2023. MUSS: Spike and slab variable selector under matrix uncertainty. [Link]
• Yu-Chien Bo Ning}, 2021. VBsparsePCA: The variational Bayesian method for sparse PCA. [Link]
• Shubham Kanodia, Angie Wolfgang, Gudmundur K. Stefansson, Yu-Chien Bo Ning, Suvrath Mahadevan, 2019. MRExo: Non-parametric mass-radius relationship for exoplanets. Astrophysics Source Code Library, record ascl:1912.020. [Link]