Publications
Choi, J., Chung, H. C., Gaynanova, I., Ni, Y. (2024+). Bayesian segmented Gaussian copula factor model for single-cell sequencing data. (submitted)
Chung, H. C., Gaynanova, I., Ni, Y. (2024+), Sparse semiparametric discriminant analysis for high-dimensional zero-inflated data. (submitted)
Kim, D., Park, J., Chung, H. C., Jeong, S., (2024). Unsupervised outlier detection using random subspace and subsampling ensembles of Dirichlet process mixtures. Pattern Recognition (to appear)
Whitfield-Cargile, C. M., Chung, H. C., Coleman, M. C., Cohen, N. D., Chamoun-Emanuelli, A. M., Ivanov, I., Goldsby, J. R., Davidson, L. A., Gaynanova, I., Ni, Y., Chapkin, R. S. (2024). Integrated analysis of gut metabolome, microbiome, and exfoliome data in an equine model of intestinal injury. Microbiome 12, 74
Chung, H. C., Datta, G. S. (2022), Bayesian spatial models for estimating means of sampled and non-sampled small areas. Survey Methodology 48, 463-489
Chung, H. C., Gaynanova, I., Ni, Y. (2022). Phylogenetically informed Bayesian truncated copula graphical models for microbial association networks. The Annals of Applied Statistics 16, 2437-2457
Chung, H. C., Ahn, J. (2021). Subspace rotations for high-dimensional outlier detection. Journal of Multivariate Analysis 183, 104713.
Ahn, J., Chung, H. C., Jeon, Y. (2020). Trace ratio optimization for high-dimensional multiclass discrimination. Journal of Computational and Graphical Statistics 30, 192-203.
Markley, S., Hafley T., Allums C., Holloway S., Chung, H. C. (2020). The limits of homeownership: Racial capitalism, black wealth, and the appreciation gap in Atlanta. International Journal of Urban and Regional Research 44, 310-328.
Fang, X., Sun, W., Jeon J., Azain M., Kinder H., Ahn J., Chung, H. C., Filipov, N., Zhao, Q., Rayalam S., and Park, H. (2020). Perinatal docosahexaenoic acid supplementation improves cognition and alters brain functional organization in piglets. Nutrient 12, 1- 22.
Bell, W. R., Chung, H. C., Datta, G. S., Franco, C. (2019). Measurement error in small area estimation: functional versus structural versus naïve models. Survey Methodology 45, 61-80.
Chung, H. C., Datta, G. S., Maples, J. (2019). Estimation of median incomes of the American states: Bayesian estimation of means of subpopulations. Opportunities and Challenges for Development: Essays for Sarmila Banerjee, ed. Bandyopadhyay, S. and Dutta, M., Springer International.