Jong-Min Kim

According to our database, Jong-Min Kim authored at least 36 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Personalized Treatment Policies with the Novel Buckley-James Q-Learning Algorithm.

Jeongjin Lee, Jong-Min Kim

Axioms, April, 2024

2023

Nonparametric Directional Dependence Estimation and Its Application to Cryptocurrency.

Hohsuk Noh, Hyuna Jang, Kun Ho Kim, Jong-Min Kim

Axioms, 2023

2022

Computing the effect of measurement errors on efficient variant of the product and ratio estimators of mean using auxiliary information.

Neha Singh, Gajendra K. Vishwakarma, Jong Min Kim

Commun. Stat. Simul. Comput., 2022

A Study on Cryptocurrency Log-Return Price Prediction Using Multivariate Time-Series Model.

Sang-Ha Sung, Jong-Min Kim, Byung-Kwon Park, Sangjin Kim

Axioms, 2022

Application of Deep Learning and Neural Network to Speeding Ticket and Insurance Claim Count Data.

Jong-Min Kim, Jihun Kim, Il-Do Ha

Axioms, 2022

Forecasting Crude Oil Prices with Major S&P 500 Stock Prices: Deep Learning, Gaussian Process, and Vine Copula.

Jong-Min Kim, Hope H. Han, Sangjin Kim

Axioms, 2022

Copula Dynamic Conditional Correlation and Functional Principal Component Analysis of COVID-19 Mortality in the United States.

Jong-Min Kim

Axioms, 2022

2021

Deep Learning-Based Residual Control Chart for Binary Response.

Jong-Min Kim, Il-Do Ha

Symmetry, 2021

Some imputation methods to deal with the problems of missing data in two-occasion successive sampling.

Garib Nath Singh, Mohd Khalid, Jong-Min Kim

Commun. Stat. Simul. Comput., 2021

Control charts of mean and variance using copula Markov SPC and conditional distribution by copula.

Jong-Min Kim, Jaiwook Baik, Mitch Reller

Commun. Stat. Simul. Comput., 2021

Copula directional dependence of discrete time series marginals.

Mohammed Alqawba, Norou Diawara, Jong-Min Kim

Commun. Stat. Simul. Comput., 2021

2020

Residual Control Chart for Binary Response with Multicollinearity Covariates by Neural Network Model.

Jong-Min Kim, Ning Wang, Yumin Liu, Kayoung Park

Symmetry, 2020

2019

Patent data analysis using functional count data model.

Jong-Min Kim, Nak-Kyeong Kim, Yoon-Sung Jung, Sunghae Jun

Soft Comput., 2019

The copula directional dependence by stochastic volatility models.

Jong-Min Kim, S. Y. Hwang

Commun. Stat. Simul. Comput., 2019

2018

GLM-based statistical control r-charts for dispersed count data with multicollinearity between input variables.

Kayoung Park, Jong-Min Kim, Dongmin Jung

Qual. Reliab. Eng. Int., 2018

2017

Factor analysis and structural equation model for patent analysis: a case study of Apple's technology.

Jong-Min Kim, Dong Man Im, Sunghae Jun

Technol. Anal. Strateg. Manag., 2017

Penalized regression models for patent keyword analysis.

Jong-Min Kim, Jea-Bok Ryu, Seung-Joo Lee, Sunghae Jun

Model. Assist. Stat. Appl., 2017

Variance estimation by multivariate imputation methods in complex survey designs.

Jong-Min Kim, Kee-Jae Lee, Wonkuk Kim

Model. Assist. Stat. Appl., 2017

Integer-valued GARCH processes for Apple technology analysis.

Jong-Min Kim, Sunghae Jun

Ind. Manag. Data Syst., 2017

Bayesian estimation of rare sensitive attribute.

Joon Jin Song, Jong-Min Kim

Commun. Stat. Simul. Comput., 2017

Directional dependence via Gaussian copula beta regression model with asymmetric GARCH marginals.

Jong-Min Kim, S. Y. Hwang

Commun. Stat. Simul. Comput., 2017

2015

Bayes linear estimator for two-stage and stratified randomized response models.

Chang-Kyoon Son, Jong-Min Kim

Model. Assist. Stat. Appl., 2015

Graphical causal inference and copula regression model for apple keywords by text mining.

Jong-Min Kim, Sunghae Jun

Adv. Eng. Informatics, 2015

2014

Truncation invariant copulas for modeling directional dependence: Application to foreign currency exchange data.

Jong-Min Kim, Yoon-Sung Jung, Engin A. Sungur

Model. Assist. Stat. Appl., 2014

An estimation of a sensitive attribute by two stage stratified randomized response model.

Ki-Hak Hong, Gi-Sung Lee, Chang-Kyoon Son, Jong-Min Kim

Model. Assist. Stat. Appl., 2014

An Empirical Likelihood Estimate of the Finite Population Correlation Coefficient.

Sarjinder Singh, Stephen A. Sedory, Jong-Min Kim

Commun. Stat. Simul. Comput., 2014

2013

Mixture of D-vine copulas for modeling dependence.

Daeyoung Kim, Jong-Min Kim, Shu-Min Liao, Yoon-Sung Jung

Comput. Stat. Data Anal., 2013

2012

Large asymmetry and directional dependence by using copula modeling to currency exchange rates.

Daiho Uhm, Jong-Min Kim, Yoon-Sung Jung

Model. Assist. Stat. Appl., 2012

2011

Generalized bivariate copulas and their properties.

Jong-Min Kim, Engin A. Sungur, Taeryon Choi, Tae-Young Heo

Model. Assist. Stat. Appl., 2011

Truncated Midzuno-Sen Sampling Schemes for Estimating Distribution Functions.

Sarjinder Singh, Jong-Min Kim, Hakjin Jang, Stephen Horn

Commun. Stat. Simul. Comput., 2011

Partial correlation with copula modeling.

Jong-Min Kim, Yoon-Sung Jung, Taeryon Choi, Engin A. Sungur

Comput. Stat. Data Anal., 2011

2010

The SSR Plot: A Graphical Representation for Regression.

Chong Sun Hong, Jong-Min Kim

Commun. Stat. Simul. Comput., 2010

Conversion of categorical variables into numerical variables via Bayesian network classifiers for binary classifications.

Namgil Lee, Jong-Min Kim

Comput. Stat. Data Anal., 2010

2009

Directional Dependence of Genes Using Survival Truncated FGM Type Modification Copulas.

Jong-Min Kim, Yoon-Sung Jung, Tim Soderberg

Commun. Stat. Simul. Comput., 2009

2008

New Approach of Directional Dependence in Exchange Markets Using Generalized FGM Copula Function.

Yoon-Sung Jung, Jong-Min Kim, Jinhwa Kim

Commun. Stat. Simul. Comput., 2008

A copula method for modeling directional dependence of genes.

Jong-Min Kim, Yoon-Sung Jung, Engin A. Sungur, Kap-Hoon Han, Changyi Park, Insuk Sohn

BMC Bioinform., 2008