Research

Some Statistical Research Papers

• Hyoung-Moon Kim, Yu-Hyeong Jang, Barry C. Arnold and Jun Zhao (2024), “New efficient estimators for the Weibull distribution,”

Communications in Statistics-Theory and Methods.

• Jun Zhao, Yu-Kwang Kim, Yu-Hyeong Jang, Jae Ho Chang, Sang Kyu Lee and Hyoung-Moon Kim (2024), “MLEce: Statistical inference for Asymptotically Efficient Closed-form Estimators in R,” SoftwareX.

• Yu-Hyeong Jang, Jun Zhao, Hyoung-Moon Kim, Kyusang Yu, Sunghoon Kwon and SungHwan Kim (2023), “New closed-form efficient estimator for the multivariate gamma distribution,” Statistica Neerlandica.

• Jun Zhao and Hyoung-Moon Kim (2023), “New closed-form efficient estimators for the negative binomial distribution,”

Statistical Papers.

• Hyoung-Moon Kim, Yu-Hyeong Jang, Barry C. Arnold and Yu-Kwang Kim (2023), “New closed-form efficient estimators for a bivariate Weibull distribution,” Journal of Statistical Computation and Simulation.

• Jaeho Chang, Sang Kyu Lee and Hyoung-Moon Kim (2023), “An Asymptotically Efficient Closed-form Estimator for the Dirichlet distribution,”

Stat.

• Yu-Hyeong Jang , SungBum Kim, Hyun-Ju Jung and Hyoung-Moon Kim (2022), “WLinfer: Statistical Inference for Weighted Lindley Distribution,”

The R Journal.

• Jun Zhao, Yu-Hyeong Jang and Hyoung-Moon Kim (2022), "Closed-form and bias-corrected estimators for the bivariate gamma distribution,"
  Journal of Multivariate Analysis.

• SungBum Kim and Hyoung-Moon Kim (2022), "Series form of the characteristic functions of scale mixtures of multivariate skew-normal distribution," Mathematics and Computers in Simulation.

• Hyoung-Moon Kim, SungBum Kim, Yu-Hyeong Jang and Jun Zhao (2022), “New closed-form estimator and its property,”
  Journal of the Korean Statistical Society.

• Kexuan Yang, Sang Kyu Lee, Jun Zhao and Hyoung-Moon Kim (2021), "EMSS: New EM-type algorithms for the Heckman selection model in R,"
  The R Journal.

• Sang Kyu Lee, Jaeho Chang and Hyoung-Moon Kim (2021), "Further sharpening of Jensen's inequality,"
  Statistics.

• Hyoung-Moon Kim and Yu-Hyeong Jang (2021), “New Closed-Form Estimators for Weighted Lindley Distribution,”
  Journal of the Korean Statistical Society.

• Jun Zhao, SungBum Kim and Hyoung-Moon Kim (2021), “Closed-form estimators and bias-corrected estimators for the Nakagami distribution,”
  Mathematics and Computers in Simulation.

• Jun Zhao, Hea-Jung Kim and Hyoung-Moon Kim (2020), “New EM-type algorithms for the Heckman selection model,”
  Computational Statistics and Data Analysis.

• Jun Zhao, Sung-Chur Sim and Hyoung-Moon Kim (2020), "Statistical inference of some effect sizes,"
  Journal of the Korean Statistical Society.

• Adelchi Azzalini, Hyoung-Moon Kim and Hea-Jung Kim (2019), "Sample selection models for discrete and other non-Gaussian response variables,"
  Statistical Methods & Applications.

• Hyoung-Moon Kim and Chiwhan Kim (2017), "Moments of Scale Mixtures of Multivariate Skew-Normal Distributions and their quadratic forms,"
  Communications in Statistics-Theory and Methods.

• Hea-Jung Kim and Hyoung-Moon Kim (2016), "Elliptical Regression Models for Multivariate Sample-Selection Bias Correction."
  Journal of the Korean Statistical Society.

• Hyoung-Moon Kim, Mehdi Maadooliat, Reinaldo B. Arellano-Valle , and Marc G. Genton (2016), "Skewed Factor Models using Selection Mechanisms,”
  Journal of Multivariate Analysis.

• M. Dolores Jimenez-Gamero and Hyoung-Moon Kim (2015), "Fast goodness-of-fit tests based on the characteristic function,"
  Computational Statistics & Data Analysis.

• Hyoung-Moon Kim, Young Joo Yoon, and Hea-Jung Kim (2015), "Optimal Classifier for Multivariate Rectangle-Screened Normal Data classification,"
  Journal of the Korean Statistical Society.

• Hea-Jung Kim and Hyoung-Moon Kim (2014), "A Class of Rectangle-Screened Multivariate Normal Distributions and Its Applications,"
  Statistics.

• Hyoung-Moon Kim, Duchwan Ryu, Bani K. Mallick and Marc G. Genton (2014), " Mixtures of Skewed Kalman Filters,"
  Journal of Multivariate Analysis.

• Hyoung-Moon Kim and Marc G. Genton (2011), "Characteristic functions of scale mixtures of multivariate skew-normal distributions,"
  Journal of Multivariate Analysis.

• Hyoung-Moon Kim (2008), " A note on scale mixtures of skew normal distribution,"
  Statistics & Probability Letters.

• Heeseok Oh and Hyoung-Moon Kim (2008) " Bayesian Automatic Polynomial Wavelet Regression,"
  Journal of Statistical Planning and Inference.

• Hyoung-Moon Kim, Bani K. Mallick and C.C. Holmes (2005) " Analyzing non-stationary spatial data using piecewise Gaussian processes,"
  Journal of the American Statistical Association.

• Hyoung-Moon Kim and Bani K. Mallick (2004) "A Bayesian Prediction using the Skew Gaussian Distribution,"
  Journal of Statistical Planning and Inference.

• Hyoung-Moon Kim and Bani K. Mallick (2003), "Moments of random vectors with skew t distribution and their quadratic forms,"
  Statististics & Probability Letters.

• Hyoung-Moon Kim and Bani K. Mallick (2003), "A Note on Bayesian Spatial Prdiction using the Elliptical distribution,"
  Statistics & Probability Letters.

Some Collaboration Research Papers

• Hee-Seop Ahn, Byung-Joo Park, Hyeon-Jeong Go, Eu-Lim Lyoo, Dong-Hwi Kim, Joong-Bok Lee, Seung-Yong Park, Chang-Seon Song, Sang-Won Lee, Yang-Kyu Choi, Hyun-Ju Jung, Hyoung-Moon Kim, In-Soo Choi (2021), “Induction of immunocontraceptive effects in both male and female mice immunized with GnRH vaccine,” Veterinary Medicine and Science.

• Ahn Hee-don, Kim Hyoung-moon, Zhao Jun, Ha Ji-hee and Cho Yong-jun (2019), “A comparison of formal and informal acceptability judgments: A case of discrete experimental data,” Korean Language Research.

•  Yongjoon Cho, Hyoung-Moon Kim, Jun Zhao, Jihee Ha, Rongju Li and Hee-Don Ahn (2019), “A Comparison of Formal and Informal Korean Acceptability Judgments (2),” Studies in Linguistics.

• Jaeun Koo, Hyoung-Moon and Sunyoung Park (2019), “A Study on the Determinants of Injury Rate Using Financial Data,” 

Journal of CEO and Management Studies.

• Ngan Thi Phan, Lan Thi Trinh, Mi-Young Rho, Tae-Sung Park, Ok-Rye Kim, Jun Zhao, Hyoung-Moon Kim and Sung-Chur Sim (2019), “Identificationof loci associated with fruit traits using genome-wide single nucleotide polymorphisms in a core collection of tomato (Solanum lycopersicum L.).,”            Scientia Horticulturae.

•  Yoon H, Kim J, Moon WJ, Nahm SS, Zhao J, Kim HM and Eom K (2017), “Characterization of chronic axonal degeneration using diffusion tensor imaging in canine spinal cord injury: A quantitative analysis of DTI parameters according to histopathological differences,” Journal of Neurotrauma.

• Park, Woo-Jung; Park, Byung-Joo; Song, Young-Jo; Lee, Joong-Bok; Jang, Young-Gyu; Kim, Hyoung-Moon; Han,Jang-Hyuck; Jung, Cheong-Hwan; Choi, In-Soo (2015), “Induction of immunocastration in pre-pubertal boars immunized with recombinant gonadotropinreleasing hormone conjugated with almonella Typhimurium flagellin fljB,” Japanese Journal of Veterinary Research.

• Woo-Jung Park, Young-Jo Song, Jong-Il Shin, Joong-Bok Lee, Seung-Yong Park, Chang-Seon Song, Sang-Won Lee, Seung-Seob Lee, Kun-Ho Seo, Hyoung-Moon Kim, Kwang-Jae Lee, Dong Woon Kim and In-Soo Choi (2014), “Investigation of antibacterial activity of Oenothera biennis L. extract against Salmonella Typhimurium,” J. Prev. Vet. Med.

• YJ Song, DG Kim, HM Nam, JB Lee, SY Park, CS Song, KH Seo, Hyoung-Moon Kim and IS Choi (2012), “Evaluation of the efficacy of immunocastration vaccine composed of gonadotropin-releasing hormone conjugated with Salmonella typhimurium flagellin in rats,” Reproduction in Domestic Animals.

• Ha-Na Youn, Dong-Hun Lee, Yu-Na Lee, Jae-Keun Park, Seong-Su Yuk, Si-Yong Yang, Hyun-Jeong Lee, Seo-HyungWoo, Hyoung-Moon Kim, Joong-Bok Lee, Seung-Yong Park, In-Soo Choi and Chang-Seon Song (2012),“Intranasal administration of live Lactobacillus species facilitates protection against influenza virus infection in mice,” Antiviral Research

Some R Packages

• Jun Zhao, Yu-Kwang Kim, Yu-Hyeong Jang, Jae Ho Chang, Sang Kyu Lee and Hyoung-Moon Kim (2024), “MLEce: Statistical inference for Asymptotically Efficient Closed-form Estimators in R,” SoftwareX.

• Yu-Hyeong Jang , SungBum Kim, Hyun-Ju Jung and Hyoung-Moon Kim (2022), “WLinfer: Statistical Inference for Weighted Lindley Distribution,”

The R Journal

• Kexuan Yang, Sang Kyu Lee, Jun Zhao and Hyoung-Moon Kim (2021), “EMSS: New EM-type algorithms for the Heckman selection model in R,”

The R Journal

Some Projects

• 2024-2027 "A statistical inference using scalable closed-form estimators for big data era," P.I., the National Research Foundation of Korea(NRF) grant funded by the Korea government(MSIT), $580,000.

• 2021-2024 “Automated robots on the basis of 3D point cloud data in coping with COVID19”, CO-I, National Research Foundation of Korea Grant,
  $1.375M.

• 2018-2023 “New models for correcting sample selection bias for discrete data,” P.I., the Korea Research Foundation Grant funded by the Korean
  Government (MOEHRD, Basic Research Promotion Fund), $250,000.

• 2015-2017 “Some new models with applications to sample selection,” P.I., the Korea Research Foundation Grant funded by the Korean Government (MOEHRD, Basic Research Promotion Fund), $150,000.

• 2013-2015 “Some new multivariate models with applications to skewed and heavy tailed data,” P.I., the Korea Research Foundation Grant funded by the Korean Government (MOEHRD, Basic Research Promotion Fund), $150,000.

• 2007 “Bayesian Automatic Lattice Model using Spatially Adaptive Neighborhood Structure,” P.I., the Korea Research Foundation Grant funded by the Korean Government (MOEHRD, Basic Research Promotion Fund), $22,000.