Hang J. Kim 김항준, 신시내티 통계학
Associate Professor and Undergraduate Program Director (Statistics)
Division of Statistics and Data Science
A&S Mathematical Sciences
French Hall, Room 5410
513-556-4937
hang.kim@uc.edu
Associate Professor and Undergraduate Program Director (Statistics)
Division of Statistics and Data Science
A&S Mathematical Sciences
Research Interests
- Missing data; Data privacy; Survey sampling
- Bayesian analysis; Statistical computing; Nonparametric Bayesian modeling
- Computer experiment
- Statistical genomics
Research Supports
- 11/01/2021-10/31/2024, "Mixed Data Meta-analysis: Integration of Individual Participant and Aggregate Data," Patient-Centered Outcomes Research Institute (PCORI), Role:PI, $109,134
- 01/01/2020-04/30/2021, "Statistical Models for Genetic Studies, Using Network and Integrative Analysis," NIH R01 GM122078, Role:PI, $32,997
- 04/30/2018-01/30/2020, "Statistically Integrated Publication System for the Economic Census Synthetic Microdata," ASA/NSF/Census Research Fellowship, Role:PI, $170,379
Presentations
- Data editing and synthetic data generation via nonparametric Bayesian model
- Conference talk (virtually presented) at Korean Statistical Society Meeting, Oct 2021
- Bayesian model calibration and sensitivity analysis for oscillating biochemical experiments
- Invited talk at Biomedical Mathematics Group, Institute of Basic Science, Daejeon, Korea, Aug 2021
- Data-driven editing and imputation for the economic census using nonparametric Bayesian modeling
- Invited talk at Department of Statistics, Kyungpook National University, Daegu, Korea, Aug 2021
- Survey design and sampling for practitioners
- Invited talk at Korea Rural Economic Institute, Naju, Korea, July 2021
- Tutorial at Kyungpook National University, Daegu, Korea, July 2021
- Data protection of electricity consumption statistics
- (virtual) Guest tutorial, Statistics graduate program, Kyungpook National University, Korea, Dec 2020
- Synthetic microdata for establishment surveys under informative sampling
- (virtual) Joint Statistical Meetings, Aug 2020
- Mathematical/computational models, data, and uncertainty
- Guest lecture at MCP6041C class, Systems Biology and Physiology Graduate Program, University of Cincinnati, Jan 2020
- Statistically integrated publication system for the Economic Census microdata
- USDA National Agricultural Statistics Survice, Washington, DC, Jan 2020
- Bureau of Labor Statistics, Washington, DC, June 2019
- NORC at the University of Chicago, Bethesda, MD, Dec 2018
- Nonparametric Bayesian modeling in government statistics : Recent developments in imputation, editing and data protection
- EAC-ISBA (International Society for Bayesian Analysis), Kobe, Japan, June 2019
- Nonparametric Bayesian modeling to handle missing data and measurement errors
- Division of Biostatistics, Ohio State University, Columbus, OH, August 2019
- Economic Census synthetic microdata with Dirichlet process calibrated
imputation model
- Joint Statistical Meetings, Vancouver, BC, July 2018
- Bayesian inverse modeling with regularization for air pollution source
identification
- Korean-American Scientists and Engineers Association South Ohio Chapter,
Cincinnati, OH, Feb 2018
- Medical University of South Carolina, Charleston, SC, Dec 2017
- Yonsei University, Seoul, Korea, Dec 2017
- Kyungpook National University, Daegu, Korea, Dec 2017
- Statistically integrated publication system for business establishment
microdata
- Summer at Census presentation, Washington, DC, June 2017
- 2017 Economic census: Towards synthetic data sets
- NSF-Sloan Workshop on Practical Privacy, Washington, DC, May 2017
- A semiparametric Bayesian survival analysis using covariate-dependent
clustering, with application to pediatric kidney transplantation data
- Joint Statistical Meetings, Chicago, IL, July 2016
- Editing, imputation, and synthesis: A public use file for business
establishment data
- University of Notre Dame, Notre Dame, IN, Mar 2016
- Joint Statistical Meetings, Seattle, WA, Aug 2015
- Simultaneous edit-imputation for continuous microdata
- Division of Biostatistics and Epidemiology, Cincinnati Children's, Cincinnati, OH, Dec 2015
- IBM TJWatson Research Center, Yorktown Heights, NY, Oct 2015
- Bayesian data editing for continuous microdata
- Yonsei University, Seoul, Korea, Oct 2014
- Statistics Korea, Daejeon, Korea, Oct 2014
- Joint Statistical Meetings, Boston, MA, Aug 2014
- U.S. Census Bureau, Center for Statistical Research Methodology Seminar, Washington, DC, Apr 2014
- SAMSI Computational Methods for Censuses and SurveysWorkshop,Washington, DC, Jan 2014
- Federal Committee on Statistical Methodology Research Conference, Washington, DC, Nov 2013
- Statistical disclosure control for microdata: Current practices and
future development
- (Keynote speaker) Survey Methodology Symposium, Daejeon, Korea, Oct 2014
- Introduction to advanced Markov chain Monte Carlo
- Duke Social Science Research Institute Workshop, Durham, NC, Oct 2013
- Multiple imputation under the edit constraints
- Joint Statistical Meetings, Montreal, Quebec, Aug 2013
- NSF-Census Research Network PI Meeting, Durham, NC, May 2013
- U.S. Census Research Center for Economic Studies Seminar, Washington, DC, Apr 2013
- The generalized multiset sampler
- Joint Statistical Meetings, San Diego, CA, July 2012
- Joint Statistical Meetings, Miami Beach, FL, Aug 2011
- Hierarchical Bayes conjoint choice analysis via the approximate dependent Poisson race model
- Joint Statistical Meetings, Vancouver, BC, Aug 2010
- Introduction to discrete choice models
- OSU SPAM seminar, Columbus, OH, Mar 2010