Preprints
Penalty-induced basis exploration for Bayesian splines
Sunwoo Lim, Sihyeon Pyeon, and Seonghyun Jeong
Peer Reviewed
Model selection-based estimation for generalized additive models using mixtures of g-priors: Towards systematization
Gyeonghun Kang and Seonghyun Jeong
Bayesian Analysis, to appearPosterior contraction for sparse neural networks in Besov spaces with intrinsic dimensionality
Kyeongwon Lee, Lizhen Lin, Jaewoo Park, Seonghyun Jeong
Neural Information Processing Systems (NeurIPS), 2025L2-norm posterior contraction in Gaussian models with unknown variance
Seonghyun Jeong
Statistics & Probability Letters, 2025Unsupervised outlier detection using random subspace and subsampling ensembles of Dirichlet process mixtures
Dongwook Kim, Juyeon Park, Hee Cheol Chung, and Seonghyun Jeong
Pattern Recognition, 2024A Bayesian convolutional neural network-based generalized linear model
Yeseul Jeon, Won Chang, Seonghyun Jeong, Sanghoon Han, and Jaewoo Park
Biometrics, 2024The art of BART: Minimax optimality over nonhomogeneous smoothness in high dimension
Seonghyun Jeong and Veronika Rockova
Journal of Machine Learning Research, 2023Functional clustering methods for binary longitudinal data with temporal heterogeneity
Jinwon Sohn, Seonghyun Jeong, Young Min Cho, and Taeyoung Park
Computational Statistics & Data Analysis, 2023Posterior contraction in group sparse logit models for categorical responses
Seonghyun Jeong
Journal of Statistical Planning and Inference, 2022Bayesian model selection in additive partial linear models via locally adaptive splines
Seonghyun Jeong, Taeyoung Park, and David A. van Dyk
Journal of Computational and Graphical Statistics, 2022Posterior contraction in sparse generalized linear models
Seonghyun Jeong and Subhashis Ghosal
Biometrika, 2021Unified Bayesian theory of sparse linear regression with nuisance parameters
Seonghyun Jeong and Subhashis Ghosal
Electronic Journal of Statistics, 2021Bayesian linear regression for multivariate responses under group sparsity
Bo Ning, Seonghyun Jeong, and Subhashis Ghosal
Bernoulli, 2020Analysis of Poisson varying-coefficient models with autoregression
Taeyoung Park and Seonghyun Jeong
Statistics, 2018Analysis of binary longitudinal data with time-varying effects
Seonghyun Jeong, Minjae Park, and Taeyoung Park
Computational Statistics & Data Analysis, 2017Bayesian semiparametric inference on functional relationships in linear mixed models
Seonghyun Jeong and Taeyoung Park
Bayesian Analysis, 2016Efficient Bayesian analysis of multivariate aggregate choices
Taeyoung Park and Seonghyun Jeong
Journal of Statistical Computation and Simulation, 2015Coffee consumption patterns in Korean adults: the Korean National Health and Nutrition Examination Survey (2001-2011)
Youjin Je, Seonghyun Jeong, and Taeyoung Park
Asia Pacific Journal of Clinical Nutrition, 2014