Hea-Jung Kim

According to our database, Hea-Jung Kim authored at least 12 papers between 2005 and 2020.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of four.

2020

New EM-type algorithms for the Heckman selection model.

Jun Zhao, Hea-Jung Kim, Hyoung-Moon Kim

Comput. Stat. Data Anal., 2020

2019

Sample selection models for discrete and other non-Gaussian response variables.

Adelchi Azzalini, Hyoung-Moon Kim, Hea-Jung Kim

Stat. Methods Appl., 2019

2018

Bayesian hierarchical robust factor analysis models for partially observed sample-selection data.

Hea-Jung Kim

J. Multivar. Anal., 2018

On a Robust MaxEnt Process Regression Model with Sample-Selection.

Hea-Jung Kim, Mihyang Bae, Daehwa Jin

Entropy, 2018

2017

Bayesian Hierarchical Scale Mixtures of Log-Normal Models for Inference in Reliability with Stochastic Constraint.

Hea-Jung Kim

Entropy, 2017

2016

Bayesian factor analysis with uncertain functional constraints about factor loadings.

Hea-Jung Kim, Taeryon Choi, Seongil Jo

J. Multivar. Anal., 2016

A Two-Stage Maximum Entropy Prior of Location Parameter with a Stochastic Multivariate Interval Constraint and Its Properties.

Hea-Jung Kim

Entropy, 2016

2015

A Bayesian Predictive Discriminant Analysis with Screened Data.

Hea-Jung Kim

Entropy, 2015

A best linear threshold classification with scale mixture of skew normal populations.

Hea-Jung Kim

Comput. Stat., 2015

2011

Classification of a screened data into one of two normal populations perturbed by a screening scheme.

Hea-Jung Kim

J. Multivar. Anal., 2011

2006

A computational method for ranking <i>L</i> products of parameters.

Hea-Jung Kim

Comput. Stat., 2006

2005

A Bayesian approach to paired comparison rankings based on a graphical model.

Hea-Jung Kim

Comput. Stat. Data Anal., 2005