Hea-Jung Kim

Publication Activity (10 Years)

Years Active: 2005-2020
Publications (10 Years): 7

Top Topics

Regression Model

Sample Selection

Maximum Entropy

Partially Observed

Top Venues

J. Multivar. Anal.

Stat. Methods Appl.

Comput. Stat. Data Anal.

Publications

Jun Zhao, Hea-Jung Kim, Hyoung-Moon Kim
New EM-type algorithms for the Heckman selection model. Comput. Stat. Data Anal. 146 (2020)
Adelchi Azzalini, Hyoung-Moon Kim, Hea-Jung Kim
Sample selection models for discrete and other non-Gaussian response variables. Stat. Methods Appl. 28 (1) (2019)
Hea-Jung Kim, Mihyang Bae, Daehwa Jin
On a Robust MaxEnt Process Regression Model with Sample-Selection. Entropy 20 (4) (2018)
Hea-Jung Kim
Bayesian hierarchical robust factor analysis models for partially observed sample-selection data. J. Multivar. Anal. 164 (2018)
Hea-Jung Kim
Bayesian Hierarchical Scale Mixtures of Log-Normal Models for Inference in Reliability with Stochastic Constraint. Entropy 19 (6) (2017)
Hea-Jung Kim, Taeryon Choi, Seongil Jo
Bayesian factor analysis with uncertain functional constraints about factor loadings. J. Multivar. Anal. 144 (2016)
Hea-Jung Kim
A Two-Stage Maximum Entropy Prior of Location Parameter with a Stochastic Multivariate Interval Constraint and Its Properties. Entropy 18 (5) (2016)
Hea-Jung Kim
A best linear threshold classification with scale mixture of skew normal populations. Comput. Stat. 30 (1) (2015)
Hea-Jung Kim
A Bayesian Predictive Discriminant Analysis with Screened Data. Entropy 17 (9) (2015)
Hea-Jung Kim
Classification of a screened data into one of two normal populations perturbed by a screening scheme. J. Multivar. Anal. 102 (10) (2011)
Hea-Jung Kim
products of parameters. Comput. Stat. 21 (3-4) (2006)
Hea-Jung Kim
A Bayesian approach to paired comparison rankings based on a graphical model. Comput. Stat. Data Anal. 48 (2) (2005)