Taeryon Choi, Ph.D.
Affiliations: | 2005 | Carnegie Mellon University, Pittsburgh, PA |
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"Taeryon Choi"Parents
Sign in to add mentorMark Schervish | grad student | 2005 | Carnegie Mellon | |
(Posterior consistency in nonparametric regression problems under Gaussian process priors.) |
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Publications
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Jo S, Park B, Chung Y, et al. (2021) Bayesian semiparametric mixed effects models for meta-analysis of the literature data : An application to cadmium toxicity studies. Statistics in Medicine |
Park J, Choi T, Chung Y. (2021) Nonparametric Bayesian functional two-part random effects model for longitudinal semicontinuous data analysis. Biometrical Journal. Biometrische Zeitschrift |
Noh H, Choi T, Park J, et al. (2020) Bayesian latent factor regression for multivariate functional data with variable selection Journal of the Korean Statistical Society. 49: 901-923 |
Yu J, Park J, Choi T, et al. (2020) Nonparametric Bayesian Functional Meta-Regression: Applications in Environmental Epidemiology Journal of Agricultural Biological and Environmental Statistics. 1-26 |
Jo S, Choi T, Park B, et al. (2019) bsamGP: An R Package for Bayesian Spectral Analysis Models Using Gaussian Process Priors Journal of Statistical Software. 90: 1-41 |
Kim H, Roh T, Choi T. (2019) Bayesian analysis of semiparametric Bernstein polynomial regression models for data with sample selection Statistics. 53: 1082-1111 |
Kim G, Choi T. (2019) Asymptotic properties of nonparametric estimation and quantile regression in Bayesian structural equation models Journal of Multivariate Analysis. 171: 68-82 |
Yang J, Cox DD, Lee JS, et al. (2017) Efficient Bayesian hierarchical functional data analysis with basis function approximations using Gaussian-Wishart processes. Biometrics |
Ong VMH, Mensah DK, Nott DJ, et al. (2017) A variational Bayes approach to a semiparametric regression using Gaussian process priors Electronic Journal of Statistics. 11: 4258-4296 |
Hart JD, Choi T. (2017) Nonparametric Goodness of Fit via Cross-Validation Bayes Factors Bayesian Analysis. 12: 653-677 |