Taeryon Choi

Learn More
Bayesian hierarchical models are built to fit multiple health endpoints from a dose-response study of a toxic chemical, perchlorate. Perchlorate exposure results in iodine uptake inhibition in the thyroid, with health effects manifested by changes in blood hormone concentrations and histopathological effects on the thyroid. We propose linked empirical(More)
We consider a set of independent Bernoulli trials with possibly different success probabilities that depend on covariate values. However, the available data consist only of aggregate numbers of successes among subsets of the trials along with all of the covariate values. We still wish to estimate the parameters of a modeled relationship between the(More)
Jong-Min Kim 1 Statistics Discipline, Division of Science and Mathematics, University of Minnesota at Morris, Morris, MN, 56267, USA Yoon-Sung Jung Office of Research, Alcorn State University, Alcorn State, MS, 39096, USA Taeryon Choi Department of Statistics, Korea University, Seoul, 136-701, South Korea Engin A. Sungur Statistics Discipline, Division of(More)
Factor analysis with uncertain functional constraints about factor loadingmatrix is considered from a Bayesian viewpoint, in which the uncertain prior information is incorporated in the analysis. We propose a hierarchical screened scale mixture of normal factor (HSMF ) model for flexible inference of the constrained factor loadings, factor scores, and(More)