Submitted Papers
Group-constrained latent Dirichlet allocation for fashion item recommendation
Kim, S., Lee, J., Choi, J., Cho, J., Park, K. and Chae, M.
A likelihood approach to nonparametric estimation of a singular distribution using deep generative models [arXiv]
Chae, M., Kim, D., Kim, Y. and Lin, L.
Online learning for Dirichlet process mixture models via weakly conjugate approximation
Jeong, K., Kim, Y. and Chae, M.
Publications
Posterior asymptotics in Wasserstein metrics on the real line [arXiv]
Chae, M., De Blasi, P. and Walker, S.
Electronic Journal of Statistics. (2021). 15:3635-3677
Bayesian high-dimensional semi-parametric inference beyond sub-Gaussian errors
Lee, K., Chae, M. and Lin, L.
Journal of the Korean Statistical Society. (2021). 50(2):511-527
Bayesian sparse linear regression with unknown symmetric error [arXiv]
Chae, M., Lin, L. and Dunson, D.
Information and Inference. (2019). 8(3):621–653
The semi-parametric Bernstein-von Mises theorem for regression models with symmetric errors [arXiv]
Chae, M., Kim, Y. and Kleijn, B.
Statistica Sinica. (2019). 29(3):1465–1487
On an algorithm for solving Fredholm integrals of the first kind [arXiv]
Chae, M., Martin, R. and Walker, S.
Statistics and Computing. (2019). 29(4):645–654
Additive time-dependent hazard model with doubly truncated data
Frank, G., Chae, M. and Kim, Y.
Journal of the Korean Statistical Society. (2019). 48(2):179–193
Convergence of an iterative algorithm to the nonparametric MLE of a mixing distribution [arXiv]
Chae, M., Martin, R. and Walker, S.
Statistics & Probability Letters. (2018). 140:142–146
An online Gibbs sampler algorithm for hierarchical Dirichlet processes prior
Kim, Y., Chae, M., Jeong, K., Kang, B. and Chung, H.
In Proceedings of the ECML-PKDD Discovery Challenge Workshop. (2016). pp. 509–523
A closer look at the personality turnover relationship: criterion expansion, dark traits, and time
Woo, S., Chae, M., Jebb, A. and Kim, Y.
Journal of Management. (2016). 42(2):357–385
Development of high-value traits of dairy cattle using survival analysis
Jeong, K., Chae, M., Lee, S., Cho, K. and Kim, Y.
Journal of the Korean Data Analysis Society. (2013). 15(5):2407–2416 (Written in Korean)
Documents recommendation using large citation data
Chae, M., Kang, M. and Kim, Y.
Journal of the Korean Data and Information Science Society. (2013). 24(5):999–1011 (Written in Korean)
A mixture of beta-Dirichlet processes prior for Bayesian analysis of event history data
Chae, M., Weissbach, R., Cho, K. and Kim, Y.
Journal of the Korean Statistical Society. (2013). 42(3):313–321
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