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Minwoo Chae
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Year
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
442016
A likelihood approach to nonparametric estimation of a singular distribution using deep generative models
M Chae, D Kim, Y Kim, L Lin
Journal of Machine Learning Research 24 (77), 1-42, 2023
152023
Wasserstein upper bounds of the total variation for smooth densities
M Chae, SG Walker
Statistics & Probability Letters 163, 108771, 2020
152020
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
152019
Additive time-dependent hazard model with doubly truncated data
G Frank, M Chae, Y Kim
Journal of the Korean Statistical Society 48 (2), 179-193, 2019
102019
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
102019
On an algorithm for solving Fredholm integrals of the first kind
M Chae, R Martin, SG Walker
Statistics and Computing 29, 645-654, 2019
92019
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
9*2018
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
92013
Posterior asymptotics in Wasserstein metrics on the real line
M Chae, P De Blasi, SG Walker
Electronic Journal of Statistics 15 (2), 3635-3677, 2021
72021
An online gibbs sampler algorithm for hierarchical dirichlet processes prior
Y Kim, M Chae, K Jeong, B Kang, H Chung
ECML PKDD 2016, 509-523, 2016
72016
A novel approach to Bayesian consistency
M Chae, SG Walker
Bernoulli 11 (2), 4723-4745, 2017
52017
Rates of convergence for nonparametric estimation of singular distributions using generative adversarial networks
M Chae
arXiv preprint arXiv:2202.02890, 2022
42022
An EM-based iterative method for solving large sparse linear systems
M Chae, SG Walker
Linear and Multilinear Algebra 68 (1), 45-62, 2020
42020
Bayesian consistency for a nonparametric stationary Markov model
M Chae, SG Walker
Bernoulli 25 (2), 877-901, 2019
42019
The semiparametric Bernstein-von Mises theorem for models with symmetric error
M Chae
Seoul National University, 2015
42015
Online learning for the Dirichlet process mixture model via weakly conjugate approximation
K Jeong, M Chae, Y Kim
Computational Statistics & Data Analysis 179, 107626, 2023
32023
Bayesian high-dimensional semi-parametric inference beyond sub-Gaussian errors
K Lee, M Chae, L Lin
Journal of the Korean Statistical Society 50 (2), 511-527, 2021
22021
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
22013
Minimax optimal density estimation using a shallow generative model with a one-dimensional latent variable
HK Kwon, M Chae
arXiv preprint arXiv:2305.06755, 2023
12023
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Articles 1–20