Hea-Jung Kim

12 papers Journal 12
YearRankTypeTitle / Venue / Authors
2020 J jnl
New EM-type algorithms for the Heckman selection model.
Comput. Stat. Data Anal.
Jun Zhao, Hea-Jung Kim, Hyoung-Moon Kim
2019 J jnl
Sample selection models for discrete and other non-Gaussian response variables.
Stat. Methods Appl.
Adelchi Azzalini, Hyoung-Moon Kim, Hea-Jung Kim
2018 J jnl
Bayesian hierarchical robust factor analysis models for partially observed sample-selection data.
J. Multivar. Anal.
Hea-Jung Kim
2018 J jnl
On a Robust MaxEnt Process Regression Model with Sample-Selection.
Entropy
Hea-Jung Kim, Mihyang Bae, Daehwa Jin
2017 J jnl
Bayesian Hierarchical Scale Mixtures of Log-Normal Models for Inference in Reliability with Stochastic Constraint.
Entropy
Hea-Jung Kim
2016 J jnl
A Two-Stage Maximum Entropy Prior of Location Parameter with a Stochastic Multivariate Interval Constraint and Its Properties.
Entropy
Hea-Jung Kim
2016 J jnl
Bayesian factor analysis with uncertain functional constraints about factor loadings.
J. Multivar. Anal.
Hea-Jung Kim, Taeryon Choi, Seongil Jo
2015 J jnl
A Bayesian Predictive Discriminant Analysis with Screened Data.
Entropy
Hea-Jung Kim
2015 J jnl
A best linear threshold classification with scale mixture of skew normal populations.
Comput. Stat.
Hea-Jung Kim
2011 J jnl
Classification of a screened data into one of two normal populations perturbed by a screening scheme.
J. Multivar. Anal.
Hea-Jung Kim
2006 J jnl
A computational method for ranking
Comput. Stat.
Hea-Jung Kim
2005 J jnl
A Bayesian approach to paired comparison rankings based on a graphical model.
Comput. Stat. Data Anal.
Hea-Jung Kim