| bsamGP: an R package for Bayesian spectral analysis models using Gaussian process priors S Jo, T Choi, B Park, P Lenk Journal of Statistical Software 90, 1-41, 2019 | 10 | 2019 |
| A variational Bayes approach to a semiparametric regression using Gaussian process priors VMH Ong, DK Mensah, DJ Nott, S Jo, B Park, T Choi | 7 | 2017 |
| Sparse signal shrinkage and outlier detection in high-dimensional quantile regression with variational Bayes D Lim, B Park, D Nott, X Wang, T Choi Statistics and Its Interface 13 (2), 237-249, 2020 | 6 | 2020 |
| Spatiotemporal local interpolation of global ocean heat transport using Argo floats: A debiased latent Gaussian process approach B Park, M Kuusela, D Giglio, A Gray The Annals of Applied Statistics 17 (2), 1491-1520, 2023 | 4 | 2023 |
| Package ‘bsamGP’ S Jo, T Choi, B Park, PJ Lenk, MB Park, M Imports | | 2024 |
| Robust Universal Inference B Park, S Balakrishnan, L Wasserman arXiv preprint arXiv:2307.04034, 2023 | | 2023 |
| Bayesian semiparametric mixed effects models for meta‐analysis of the literature data: An application to cadmium toxicity studies S Jo, B Park, Y Chung, J Kim, E Lee, J Lee, T Choi Statistics in Medicine 40 (16), 3762-3778, 2021 | | 2021 |
