Seonghyun Jeong

Jeong, S., & Ghosal, S. (2021). Posterior contraction in sparse generalized linear models. BIOMETRIKA, 108(2), 367–379. https://doi.org/10.1093/biomet/asaa074

Jeong, S., & Ghosal, S. (2021). Unified Bayesian theory of sparse linear regression with nuisance parameters. ELECTRONIC JOURNAL OF STATISTICS, 15(1), 3040–3111. https://doi.org/10.1214/21-EJS1855

Ning, B., Jeong, S., & Ghosal, S. (2020). Bayesian linear regression for multivariate responses under group sparsity. BERNOULLI, 26(3), 2353–2382. https://doi.org/10.3150/20-BEJ1198

Handfield, R., Jeong, S., & Choi, T. (2019). Emerging procurement technology: data analytics and cognitive analytics. INTERNATIONAL JOURNAL OF PHYSICAL DISTRIBUTION & LOGISTICS MANAGEMENT, 49(10), 972–1002. https://doi.org/10.1108/IJPDLM-11-2017-0348

Park, T., & Jeong, S. (2018). Analysis of Poisson varying-coefficient models with autoregression. Statistics, 52(1), 34–49. https://doi.org/10.1080/02331888.2017.1353514

Jeong, S., Park, M., & Park, T. (2017). Analysis of binary longitudinal data with time-varying effects. COMPUTATIONAL STATISTICS & DATA ANALYSIS, 112, 145–153. https://doi.org/10.1016/j.csda.2017.03.007