Bayesian inference in the presence of intractable normalizing functions J Park, M Haran Journal of the American Statistical Association 113 (523), 1372-1390, 2018 | 69 | 2018 |
Spatial Relationships between Urban Structures and Air Pollution in Korea MC Jung, J Park, S Kim Sustainability 11 (2), 476, 2019 | 25 | 2019 |
Quantifying spatio-temporal variation of invasion spread J Goldstein, J Park, M Haran, A Liebhold, ON Bjørnstad Proceedings of the Royal Society B 286 (1894), 20182294, 2019 | 15 | 2019 |
An ensemble approach to predicting the impact of vaccination on rotavirus disease in Niger J Park, J Goldstein, M Haran, M Ferrari Vaccine 35 (43), 5835-5841, 2017 | 15 | 2017 |
A function emulation approach for doubly intractable distributions J Park, M Haran Journal of Computational and Graphical Statistics 29 (1), 66-77, 2020 | 14 | 2020 |
An interaction Neyman–Scott point process model for coronavirus disease-19 J Park, W Chang, B Choi Spatial Statistics 47, 100561, 2022 | 9 | 2022 |
Reduced-dimensional Monte Carlo maximum likelihood for latent gaussian random field models J Park, M Haran Journal of Computational and Graphical Statistics 30 (2), 269-283, 2021 | 9 | 2021 |
Bayesian model selection for high-dimensional Ising models, with applications to educational data J Park, IH Jin, M Schweinberger Computational Statistics & Data Analysis 165, 107325, 2022 | 7 | 2022 |
Bayesian indirect inference for models with intractable normalizing functions J Park Journal of Statistical Computation and Simulation 91 (2), 300-315, 2021 | 5 | 2021 |
Fast bayesian functional regression for non-gaussian spatial data HB Kang, YJ Jung, J Park Bayesian Analysis 19 (2), 407-438, 2024 | 4 | 2024 |
A scalable partitioned approach to model massive nonstationary non-Gaussian spatial datasets BS Lee, J Park Technometrics 65 (1), 105-116, 2023 | 3 | 2023 |
Radiomics nomogram: prediction of 2-year disease-free survival in young age breast cancer J Lee, SH Kim, Y Kim, J Park, GE Park, BJ Kang Cancers 14 (18), 4461, 2022 | 3 | 2022 |
A spatio-temporal Dirichlet process mixture model for coronavirus disease-19 J Park, S Yi, W Chang, J Mateu Statistics in Medicine 42 (30), 5555-5576, 2023 | 2 | 2023 |
Improved Mean Field Estimates of GEMS AOD L3 Product: Using Spatio-temporal Variability S Kim, Y Cho, H Ki, S Park, D Oh, S Lee, Y Cho, J Kim, W Lee, J Park, ... EGUsphere 2024, 1-27, 2024 | | 2024 |
Bayesian Kriging Approaches for Spatial Functional Data H Lee, D Oh, S Choi, J Park arXiv preprint arXiv:2401.08175, 2024 | | 2024 |
Density Estimation-based Stein Variational Gradient Descent J Kim, B Lee, C Min, J Park, K Ryu | | 2023 |
Bayesian Filtering and Smoothing J Park Journal of the American Statistical Association 118 (544), 2943-2945, 2023 | | 2023 |
Impacts of Innovation School System in Korea: A Latent Space Item Response Model with Neyman-Scott Point Process S Yi, M Kim, J Park, M Jeon, IH Jin arXiv preprint arXiv:2306.02106, 2023 | | 2023 |
Fast Compartment Model Calibration using Annealed and Transformed Variational Inference D Cho, W Chang, J Park arXiv preprint arXiv:2211.12200, 2022 | | 2022 |
A Bayesian Convolutional Neural Network-based Generalized Linear Model Y Jeon, W Chang, S Jeong, S Han, J Park arXiv preprint arXiv:2210.09560, 2022 | | 2022 |