Hang Kim

Years Participated: 
2012-2015
Organization: 
University of Cincinnati
Professional Title: 
Assistant Professor

Dr. Hang Kim is an assisant professor at the University of Cincinnati, starting his position in the Fall of 2015.

Kim worked at NISS and Duke University, from 2013 - 2015. He conducted research for the NSF-Census Research Network (NCRN) project.

He received a dual bachelor's degree in business and applied statistics from Yonsei University in Seoul, and also received his master's degree in statistics from Yonsei University. Kim received his Ph.D. in statistics from the Ohio State University, studying under Dr. Steven MacEachern.

Kim's area of expertise is Bayesian analysis, particularly in Markov Chain Monte Carlo methods and non-parametric Bayesian approaches.

NISS Research Projects

Technical Reports

  • The Effect of Statistical Disclosure Limitation on Parameter Estimation for a Finite Population -
  • Statistical Disclosure Limitation in the Presence of Edit Rules -
  • Simultaneous Edit-Imputation for Continuous Microdata -
  • Multiple Imputation of Missing or Faulty Values Under Linear Constraints -
  • A Bayesian Semiparametric Model for Small Domain Estimation, with application to the National Survey of Recent College Graduates -

News Articles

Publications