Semiparametrics

Causal inferences

Copula

Lee, W., Kim, M., & Ahn, J. Y. (2020). On structural properties of an asymmetric copula family and its statistical implication. Fuzzy Sets and Systems, 393, 126-142.

Kim, M., & Lin, S. (2020). Characterization of histone modification patterns and prediction of novel promoters using functional principal component analysis. PloS one, 15(5), e0233630.

Yang, J., & Kim, M. (2020). Independence test of a continuous random variable and a discrete random variable. Communications for Statistical Applications and Methods, 27(3), 285-299.

Kim, M., & Ma, Y. (2019). Semiparametric efficient estimators in heteroscedastic error models. Annals of the Institute of Statistical Mathematics, 71(1), 1-28.

Choe, H. M., Kim, M., & Lee, E. K. (2017). EMSaov: An R Package for the Analysis of Variance with the Expected Mean Squares and its Shiny Application. R J., 9(1), 252.

Ma, Y., Kim, M., & Genton, M. G. (2013). Semiparametric efficient and robust estimation of an unknown symmetric population under arbitrary sample selection bias. Journal of the American Statistical Association, 108(503), 1090-1104.

Kim, M., & Ma, Y. (2012). The efficiency of the second-order nonlinear least squares estimator and its extension. Annals of the Institute of Statistical Mathematics, 64(4), 751-764.