Publications | Hee Cheol Chung

Hee Cheol Chung, Irina Gaynanova, Yang Ni (2022). Sparse semiparametric discriminant analysis for high-dimensional zero-inflated data. arXiv.

Hee Cheol Chung, Gauri Sankar Datta (2022). Bayesian spatial models for estimating means of sampled and nonsampled small areas. Survey Methodology (accepted).

Hee Cheol Chung, Irina Gaynanova, Yang Ni (2022). Phylogenetically informed Bayesian truncated copula graphical models for microbial association networks. The Annals of Applied Statistics.

Hee Cheol Chung, Jeongyoun Ahn (2021). Subspace rotations for high-dimensional outlier detection. Journal of Multivariate Analysis.

Jeongyoun Ahn, Hee Cheol Chung, Yongho Jeon (2021). Trace ratio optimization for high-dimensional multi-class discrimination. Journal Computational and Graphical Statistics.

Xi Fang, Wenwu Sun, Julie Jeon, Michael Azain, Holly Kinder, Jeongyoun Ahn, Hee Cheol Chung, Ryan S. Mote, Nikolay M. Filipov, Qun Zhao, Srujana Rayalam, Hea Jin Park (2020). Perinatal docosahexaenoic acid supplementation improves cognition and alters brain functional organization in piglets. Nutrient, (12).

Scott N. Markley, Taylor J. Hafley, Coleman A. Allums, Steven R. Holloway, Hee Cheol Chung (2020). The limits of homeownership: Racial capitalism, black wealth, and the appreciation gap in Atlanta. International Journal of Urban and Regional Research, (44).

Hee Cheol Chung, Gauri Sankar Datta, Jerry Maples (2019). Estimation of median incomes of the American states: Bayesian estimation of means of subpopulations. In: Opportunities and Challenges for Development: Essays for Sarmila Banerjee, Springer International, pp. 505–518.

William R. Bell, Hee Cheol Chung, Gauri Sankar Datta, Carolina Franco (2019). Measurement error in small area estimation: functional versus structural versus naive models. Survey Methodology, (45).