구성원
교수
professor
POSTECH 융합대학원 소셜데이터사이언스전공
professor
채민우 교수
통계학, 데이터 과학, 기계학습
TEL
054-279-2207
mchae@postech.ac.kr
연구분야
통계학, 데이터 과학, 기계학습
연구논문
1. Lee, K; Chae, M; Lin, LZ, "Bayesian high-dimensional semi-parametric inference beyond sub-Gaussian errors",JOURNAL OF THE KOREAN STATISTICAL SOCIETY, vol.50,511 -527 (2021).
2. Chae, M.; Walker, S.G., "Wasserstein upper bounds of the total variation for smooth densities" ,STATISTICS & PROBABILITY LETTERS, vol.163, - (2020).
3. Chae, M; Walker, SG, "Bayesian consistency for a nonparametric stationary Markov model" ,BERNOULLI, vol.25,877 -901 (2019).
4. Chae, M; Lizhen Lin; David B Dunson, "Bayesian sparse linear regression with unknown symmetric error" ,INFORMATION AND INFERENCE-A JOURNAL OF THE IMA, vol.8,621 -653 (2019).
5. Frank, G.; Chae, M.; Kim, Y., "Additive time-dependent hazard model with doubly truncated data" ,Journal of the Korean Statistical Society, vol.48,179 -193 (2019).
6. Chae, M.; Kim, Y.; Kleijin, B., "The semi-parametric Bernstein-von Mises theorem for regression models with symmetric errors" ,Statistica Sinica, vol.29,1465 -1487 (2019).
7. Chae, MW; Ryan Martin; Stephen G. Walker, "On an algorithm for solving Fredholm integrals of the first kind" Statistics and Computing, vol.29,645 -654 (2019).
8. CHAE, MW; Walker, S.G., "An EM-based iterative method for solving large sparse linear systems" ,Linear and Multilinear Algebra, vol.68,45 -62 (2018).
9. Chae, M; Martin, R; Walker, SG, "Convergence of an iterative algorithm to the nonparametric MLE of a mixing distribution" ,STATISTICS & PROBABILITY LETTERS, vol.140,142 -146 (2018).
10. Chae, M; Walker, SG, "A novel approach to Bayesian consistency" ,ELECTRONIC JOURNAL OF STATISTICS, vol.11,4723 -4745 (2017).
11. Woo, E.E; Chae, M.; Jebb, A.T.; Kim, Y, "A Closer Look at the Personality-Turnover Relationship: Criterion Expansion, Dark Traits, and Time" ,Journal of Management, vol.42,357 -385 (2016).
12. Kim, Y; Chae, M.; Jeong, K.; Kang, B.; Chung, H., "An online gibbs sampler algorithm for hierarchical dirichlet processes prior" ,Lecture Notes in Computer Science, vol.9851,509 -523 (2016).
2. Chae, M.; Walker, S.G., "Wasserstein upper bounds of the total variation for smooth densities" ,STATISTICS & PROBABILITY LETTERS, vol.163, - (2020).
3. Chae, M; Walker, SG, "Bayesian consistency for a nonparametric stationary Markov model" ,BERNOULLI, vol.25,877 -901 (2019).
4. Chae, M; Lizhen Lin; David B Dunson, "Bayesian sparse linear regression with unknown symmetric error" ,INFORMATION AND INFERENCE-A JOURNAL OF THE IMA, vol.8,621 -653 (2019).
5. Frank, G.; Chae, M.; Kim, Y., "Additive time-dependent hazard model with doubly truncated data" ,Journal of the Korean Statistical Society, vol.48,179 -193 (2019).
6. Chae, M.; Kim, Y.; Kleijin, B., "The semi-parametric Bernstein-von Mises theorem for regression models with symmetric errors" ,Statistica Sinica, vol.29,1465 -1487 (2019).
7. Chae, MW; Ryan Martin; Stephen G. Walker, "On an algorithm for solving Fredholm integrals of the first kind" Statistics and Computing, vol.29,645 -654 (2019).
8. CHAE, MW; Walker, S.G., "An EM-based iterative method for solving large sparse linear systems" ,Linear and Multilinear Algebra, vol.68,45 -62 (2018).
9. Chae, M; Martin, R; Walker, SG, "Convergence of an iterative algorithm to the nonparametric MLE of a mixing distribution" ,STATISTICS & PROBABILITY LETTERS, vol.140,142 -146 (2018).
10. Chae, M; Walker, SG, "A novel approach to Bayesian consistency" ,ELECTRONIC JOURNAL OF STATISTICS, vol.11,4723 -4745 (2017).
11. Woo, E.E; Chae, M.; Jebb, A.T.; Kim, Y, "A Closer Look at the Personality-Turnover Relationship: Criterion Expansion, Dark Traits, and Time" ,Journal of Management, vol.42,357 -385 (2016).
12. Kim, Y; Chae, M.; Jeong, K.; Kang, B.; Chung, H., "An online gibbs sampler algorithm for hierarchical dirichlet processes prior" ,Lecture Notes in Computer Science, vol.9851,509 -523 (2016).
