| Penalized regression, standard errors, and Bayesian lassos G Casella, M Ghosh, J Gill, M Kyung | 794 | 2010 |
| Estimation in Dirichlet random effects models M Kyung, J Gill, G Casella | 67 | 2010 |
| New findings from terrorism data: Dirichlet process random-effects models for latent groups M Kyung, J Gill, G Casella Journal of the Royal Statistical Society Series C: Applied Statistics 60 (5 …, 2011 | 38 | 2011 |
| Characterizing the variance improvement in linear Dirichlet random effects models M Kyung, J Gill, G Casella Statistics & probability letters 79 (22), 2343-2350, 2009 | 19 | 2009 |
| Maximum likelihood estimation for directional conditionally autoregressive models M Kyung, SK Ghosh Journal of Statistical Planning and Inference 140 (11), 3160-3179, 2010 | 18 | 2010 |
| Bayesian inference for directional conditionally autoregressive models M Kyung, SK Ghosh Bayesian Analysis 4 (4), 675-706, 2009 | 16 | 2009 |
| Sampling schemes for generalized linear Dirichlet process random effects models M Kyung, J Gill, G Casella Statistical Methods & Applications 20 (3), 259-290, 2011 | 11 | 2011 |
| A computational Bayesian method for estimating the number of knots in regression splines M Kyung | 8 | 2011 |
| Bayesian extended redundancy analysis: A Bayesian approach to component-based regression with dimension reduction JY Choi, M Kyung, H Hwang, JH Park Multivariate Behavioral Research 55 (1), 30-48, 2020 | 6 | 2020 |
| Dirichlet process mixtures of linear mixed regressions M Kyung Communications for Statistical Applications and Methods 22 (6), 625-637, 2015 | 6 | 2015 |
| Bayesian approach to multivariate component-based logistic regression: analyzing correlated multivariate ordinal data JH Park, JY Choi, J Lee, M Kyung Multivariate Behavioral Research 57 (4), 543-560, 2022 | 4 | 2022 |
| Bayesian curve fitting and clustering with Dirichlet process mixture models for microarray data JH Park, M Kyung Journal of the Korean Statistical Society 48 (2), 207-220, 2019 | 4 | 2019 |
| Bayesian analysis of quantile principal component regression model† M Kyung The Korean Data & Information Science Society 32 (4), 739-755, 2021 | 3 | 2021 |
| Bayesian Fourier clustering of gene expression data J Kim, M Kyung Communications in Statistics-Simulation and Computation 46 (8), 6475-6494, 2017 | 3 | 2017 |
| Comparison of laplace and double pareto penalty: LASSO and elastic net M Kyung The Korean Journal of Applied Statistics 27 (6), 975-989, 2014 | 3 | 2014 |
| Sampling schemes for generalized linear Dirichlet random effects models M Kyung, J Gill, G Casella Technical report, Dept. Statistics, Univ. Florida. Available at www. stat …, 2009 | 3 | 2009 |
| Bayesian analysis of latent factor regression model M Kyung The Korean Journal of Applied Statistics 33 (4), 365-377, 2020 | 2 | 2020 |
| Bayesian analysis of principal component regression model † M Kyung The Korean Data & Information Science Society 30 (2), 247-259, 2019 | 2 | 2019 |
| Maximum likelihood estimation for generalized conditionally autoregressive models of spatial data M Kyung, SK Ghosh Journal of the Korean Statistical Society 43, 339-353, 2014 | 2 | 2014 |
| Bayesian Mixture Model of Extended Redundancy Analysis M Kyung, JH Park, JY Choi psychometrika 87 (3), 946-966, 2022 | 1 | 2022 |
