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1 Hwang, C., Bae, J. and Shim, J. (2016). Robust varying coecient model using L1 penalized locally weighted regression. Journal of the Korean Data & Information Science Society, 27, 1059-1066./   DOI View Article
2 Hwang, C. and Shim, J. (2016). Deep LS-SVM for regression. Journal of the Korean Data & Information Science Society, 27 827-833./   DOI View Article
3 Hwang, C. and Shim, J. (2016). Deep LS-SVM for regression. Journal of the Korean Data & Information Science Society, 27, 827-833./   DOI View Article
4 Hwang, S. and Oh, C. (2016). Estimation of the case fatality ratio of MERS epidemics using information on patients' severity condetion. Journal of the Korean Data & Information Science Society, 27, 599-607./   DOI View Article
5 Jo, S., and Lee, J. (2016). Density estimation of summer extreme temperature over South Korea using mixtures of conditional autoregressive species sampling model. Journal of the Korean Data & Information Science Society, 27, 1155-1168./   DOI View Article
6 Woo, N. and Kim, D. H. (2016). A Bayesian model for two-way contingency tables with nonignorable nonresponse from small areas. Journal of the Korean Data & Information Science Society, 27, 245-254./   DOI View Article
7 Lee, J. J. and Kim, Y. (2016) A spatial analysis of Neyman-Scott rectangular pulse model. Journal of the Korean Data & Information Science Society, 27, 1119-1131./   DOI View Article
8 Park, H. C. (2016). Signed Hellinger measure for directional association. Journal of the Korean Data & Information Science Society, 27, 353-362./   DOI View Article
9 Hong. C. S. and Lee. G. P.(2016). Properties of alternative VaR for multivariate normal distributions. Journal of the Korean Data & Information Science Society, 27, 1453-1463./   DOI View Article
10 Kim, B., Ha, I. D. and Lee, D. (2016a). Analysis of multi-center bladder cancer survival data using variableselection method of multi-level frailty models. Journal of the Korean Data & Information Science Society, 27, 499-510./   DOI View Article