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Hea-Jung Kim
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2020 – today
- 2020
- [j12]Jun Zhao, Hea-Jung Kim, Hyoung-Moon Kim:
New EM-type algorithms for the Heckman selection model. Comput. Stat. Data Anal. 146: 106930 (2020)
2010 – 2019
- 2019
- [j11]Adelchi Azzalini, Hyoung-Moon Kim
, Hea-Jung Kim:
Sample selection models for discrete and other non-Gaussian response variables. Stat. Methods Appl. 28(1): 27-56 (2019) - 2018
- [j10]Hea-Jung Kim, Mihyang Bae, Daehwa Jin:
On a Robust MaxEnt Process Regression Model with Sample-Selection. Entropy 20(4): 262 (2018) - [j9]Hea-Jung Kim:
Bayesian hierarchical robust factor analysis models for partially observed sample-selection data. J. Multivar. Anal. 164: 65-82 (2018) - 2017
- [j8]Hea-Jung Kim:
Bayesian Hierarchical Scale Mixtures of Log-Normal Models for Inference in Reliability with Stochastic Constraint. Entropy 19(6): 274 (2017) - 2016
- [j7]Hea-Jung Kim:
A Two-Stage Maximum Entropy Prior of Location Parameter with a Stochastic Multivariate Interval Constraint and Its Properties. Entropy 18(5): 188 (2016) - [j6]Hea-Jung Kim, Taeryon Choi, Seongil Jo:
Bayesian factor analysis with uncertain functional constraints about factor loadings. J. Multivar. Anal. 144: 110-128 (2016) - 2015
- [j5]Hea-Jung Kim:
A best linear threshold classification with scale mixture of skew normal populations. Comput. Stat. 30(1): 1-28 (2015) - [j4]Hea-Jung Kim:
A Bayesian Predictive Discriminant Analysis with Screened Data. Entropy 17(9): 6481-6502 (2015) - 2011
- [j3]Hea-Jung Kim:
Classification of a screened data into one of two normal populations perturbed by a screening scheme. J. Multivar. Anal. 102(10): 1361-1373 (2011)
2000 – 2009
- 2006
- [j2]Hea-Jung Kim:
A computational method for ranking L products of parameters. Comput. Stat. 21(3-4): 473-485 (2006) - 2005
- [j1]Hea-Jung Kim:
A Bayesian approach to paired comparison rankings based on a graphical model. Comput. Stat. Data Anal. 48(2): 269-290 (2005)
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