A Bayesian approach to paired comparison rankings based on a graphical model. - Hea-Jung Kim (Comput. Stat. Data Anal., 2005)

A computational method for ranking L products of parameters. - Hea-Jung Kim (Comput. Stat., 2006)

Classification of a screened data into one of two normal populations perturbed by a screening scheme. - Hea-Jung Kim (J. Multivar. Anal., 2011)

A best linear threshold classification with scale mixture of skew normal populations. - Hea-Jung Kim (Comput. Stat., 2015)

A Bayesian Predictive Discriminant Analysis with Screened Data. - Hea-Jung Kim (Entropy, 2015)

A Two-Stage Maximum Entropy Prior of Location Parameter with a Stochastic Multivariate Interval Constraint and Its Properties. - Hea-Jung Kim (Entropy, 2016)

Bayesian factor analysis with uncertain functional constraints about factor loadings. - Hea-Jung Kim; Taeryon Choi; Seongil Jo (J. Multivar. Anal., 2016)

Bayesian Hierarchical Scale Mixtures of Log-Normal Models for Inference in Reliability with Stochastic Constraint. - Hea-Jung Kim (Entropy, 2017)

On a Robust MaxEnt Process Regression Model with Sample-Selection. - Hea-Jung Kim; Mihyang Bae; Daehwa Jin (Entropy, 2018)

Bayesian hierarchical robust factor analysis models for partially observed sample-selection data. - Hea-Jung Kim (J. Multivar. Anal., 2018)

Sample selection models for discrete and other non-Gaussian response variables. - Adelchi Azzalini; Hyoung-Moon Kim; Hea-Jung Kim (Stat. Methods Appl., 2019)

New EM-type algorithms for the Heckman selection model. - Jun Zhao; Hea-Jung Kim; Hyoung-Moon Kim (Comput. Stat. Data Anal., 2020)