2020년 1월 17일

Publication

 

Lee, K., Chae, M. and Lin, L. (2020+). Bayesian high-dimensional semi-parametric inference beyond sub-Gaussian errors. To appear in Journal of the Korean Statistical Society.

Chae, M. and Walker, S. (2020). Wasserstein upper bounds of the total variation for smooth densities. Statistics & Probability Letters. 163:1-6.

Chae, M. and Walker, S. (2020). An EM-based iterative method for solving large sparse linear systems. Linear and Multilinear Algebra. 68(1):45–62.

Chae, M., Lin, L. and Dunson, D. (2019). Bayesian sparse linear regression with unknown symmetric error. Information and Inference. 8(3):621–653.

Chae, M., Kim, Y. and Kleijn, B. (2019). The semi-parametric Bernstein-von Mises theorem for regression models with symmetric errors. Statistica Sinica. 29(3):1465–1487.

Chae, M., Martin, R. and Walker, S. (2019). On an algorithm for solving Fredholm integrals of the first kind. Statistics and Computing. 29(4):645–654.

Frank, G., Chae, M. and Kim, Y. (2019). Additive time-dependent hazard model with doubly truncated data. Journal of the Korean Statistical Society. 48(2):179–193.

Chae, M. and Walker, S. (2019). Bayesian consistency for a nonparametric stationary Markov model. Bernoulli. 25(2):877–901.

Chae, M., Martin, R. and Walker, S. (2018). Convergence of an iterative algorithm to the nonparametric MLE of a mixing distribution. Statistics & Probability Letters.140:142–146.

Chae, M. and Walker, S. (2017). A novel approach to Bayesian consistency. Electronic Journal of Statistics. 11(2):4723–4745.

Kim, Y., Chae, M., Jeong, K., Kang, B. and Chung, H. (2016). An online Gibbs sampler algorithm for hierarchical Dirichlet processes prior. In Proceedings of the ECML-PKDD Discovery Challenge Workshop. pp. 509–523.

Woo, S., Chae, M., Jebb, A. and Kim, Y. (2016). A closer look at the personality turnover relationship: criterion expansion, dark traits, and time. Journal of Management. 42(2):357–385.

Kim, Y. and Chae, M. (2014). Beta processes and survival analysis. The Korean Journal of Applied Statistics. 27(6):891–907. (Written in Korean)

Jeong, K., Chae, M., Lee, S., Cho, K. and Kim, Y. (2013). Development of high-value traits of dairy cattle using survival analysis. Journal of the Korean Data Analysis Society. 15(5):2407–2416. (Written in Korean)

Chae, M., Kang, M. and Kim, Y. (2013). Documents recommendation using large citation data. Journal of the Korean Data and Information Science Society. 24(5):999–1011. (Written in Korean)

Chae, M., Weissbach, R., Cho, K. and Kim, Y. (2013). A mixture of beta-Dirichlet processes prior for Bayesian analysis of event history data. Journal of the Korean Statistical Society. 42(3):313–321.