Minwoo Chae
Minwoo Chae
Department of Industrial and Management Engineering
Verified email at postech.ac.kr - Homepage
Cited by
Cited by
A closer look at the personality-turnover relationship: Criterion expansion, dark traits, and time
SE Woo, M Chae, AT Jebb, Y Kim
Journal of Management 42 (2), 357-385, 2016
Bayesian sparse linear regression with unknown symmetric error
M Chae, L Lin, DB Dunson
Information and Inference: A Journal of the IMA 8 (3), 621-653, 2019
Documents recommendation using large citation data
M Chae, M Kang, Y Kim
Journal of the Korean Data and Information Science Society 24 (5), 999-1011, 2013
Additive time-dependent hazard model with doubly truncated data
G Frank, M Chae, Y Kim
Journal of the Korean Statistical Society 48, 179-193, 2019
The semi-parametric Bernstein-von Mises theorem for regression models with symmetric errors
M Chae, Y Kim, B Kleijn
Statistica Sinica 29 (3), 1465-1487, 2019
A novel approach to Bayesian consistency
M Chae, SG Walker
Electronic Journal of Statistics 11 (2), 4723-4745, 2017
Convergence of an iterative algorithm to the nonparametric MLE of a mixing distribution
M Chae, R Martin, SG Walker
Statistics & Probability Letters 140, 142-146, 2018
Wasserstein upper bounds of the total variation for smooth densities
M Chae, SG Walker
Statistics & Probability Letters 163, 108771, 2020
An EM-based iterative method for solving large sparse linear systems
M Chae, SG Walker
Linear and Multilinear Algebra 68 (1), 45-62, 2020
On an algorithm for solving Fredholm integrals of the first kind
M Chae, R Martin, SG Walker
Statistics and Computing 29 (4), 645-654, 2019
Bayesian consistency for a nonparametric stationary Markov model
M Chae, SG Walker
Bernoulli 25 (2), 877-901, 2019
The semiparametric Bernstein-von Mises theorem for models with symmetric error
M Chae
Seoul National University, 2015
An Online Gibbs Sampler Algorithm for Hierarchical Dirichlet Processes Prior
Y Kim, M Chae, K Jeong, B Kang, H Chung
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2016
A mixture of beta–Dirichlet processes prior for Bayesian analysis of event history data
M Chae, R Weißbach, KH Cho, Y Kim
Journal of the Korean Statistical Society 42 (3), 313-321, 2013
Bayesian high-dimensional semi-parametric inference beyond sub-Gaussian errors
K Lee, M Chae, L Lin
Journal of the Korean Statistical Society, 1-17, 2020
Posterior asymptotics in Wasserstein metrics on the real line
M Chae, P De Blasi, SG Walker
arXiv preprint arXiv:2003.05599, 2020
Beta Processes and Survival Analysis
Y Kim, M Chae
The Korean Journal of Applied Statistics 27 (6), 891-907, 2014
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