ScholarWorks@Korea University: Choi, Tae ryon

Detailed Information

Choi, Tae ryon (최태련)

College of Political Science & Economics (Department of Statistics)

Research Area

Tel 02-3290-2245
Homepage

ResearcherID ORCiD Scopus Google Scholar ID ResearchGate

Keyword

Markov chain Monte Carlo:6||Gaussian process:4||WinBUGS:4||shape restriction:3||Dirichlet process mixture:3||MCMC:3||DIC:3||Gaussian process priors:3||Benchmark dose:2||BIC:2||WinBUGS.:2||spectral representation:2||cadmium toxicity:2||Bayesian hierarchical model:2||기준용량:2||Variational Bayes:2||Bayes factor:2||q)GARCH(r:2||s):2||smoothing:2||Marginal likelihoods:2||Posterior consistency:2||Outlier detection:2||monotone constraint:2||cosine basis:2||MCMC.:2||ARMA(p:2||Bernstein polynomials:2||Marginal distribution:2||Bayes factor consistency:2||Dirichlet process:2||variable selection:2||Fourier series:2||Local Dirichlet process:1||Spatial dependency:1||Nonparametric statistics:1||디리슐레 확률 과정:1||structural equation model:1||spline:1||isotonic regression:1||lasso:1||Posterior contraction rate:1||Bandwidth parameter:1||62G08:1||elliptically contoured distribution:1||rectangular screened scale mixtures:1||uncertain constraint:1||Gaussian processes:1||적응 기각 추출:1||이변량 확률 변동성 모형:1||베이지안 카이제곱 적합도:1||Logistic regression:1||Multivariate regression:1||Perchlorate:1||Ordinal probit:1||dose&#8208:1||censored data:1||covariatedependent clustering:1||Indian Buffet process:1||multivariate functional data:1||R:1||Functional data analysis:1||kernel density estimates:1||Adaptive Markov chain Monte Carlo:1||KarhunenLoeve expansion:1||rectanglescreened normal distribution:1||Minimax rate:1||Reproducing kernel Hilbert space:1||seemingly unrelated regression model:1||Factor loading:1||Dirichlet process mixtures:1||Lack of fit testing:1||random number generator:1||다봉성 함수:1||Gaussian process regression:1||meta analysis:1||변동성 모형:1||S&P 500 index:1||Functional data:1||Nonparametric regression and classification:1||hierarchical Bayesian model.:1||Sample size dependent prior:1||계층적사전분포:1||KullbackLeibler divergence:1||based clustering:1||BSAR:1||허들 모형:1||change point:1||Multivariate functional data:1||shape restrictions:1||Latent variable:1||bandwidth selection:1||shape restricted regression:1||functional data:1||collapsed Gibbs sampling:1||Consistency:1||Hellinger distance:1||KullbackLeibler neighborhoods:1||모의 실험:1||Rectangle screened multivariate normal distribution:1||Bivariate stochastic volatility:1||Scale mixture of normal:1||doseeffect modeling:1||카드뮴 독성:1||메타 분석:1||S&P 500 지수:1||Variable selection:1||Inverse Bayes Formula:1||Bayesian Χ^2 goodness of fit:1||Directional dependence:1||posterior consistency:1||measurement error:1||generalized asymmetric Laplace distribution:1||nonparametric Bayesian:1||Gaussian graphical model:1||Highdimensional sparse regression:1||Groupspecific curves:1||Pooling information:1||sample selection data:1||마코프스위칭 모형:1||Markovswitching model:1||Smoothing:1||proportional hazards model:1||hierarchical priors:1||Matern covariance function:1||Empirical null distribution:1||Kernel density estimation:1||Rectangular screened scale mixtures:1||model comparison:1||hierarchical Bayesian model:1||소비자 물가 지수.:1||shrinkage method:1||simulations:1||RKHS:1||편차정보기준:1||Gaussian copula:1||깁스 표집기:1||계층적 베이지안 모형.:1||FarlieGumbelMorgenstern copula:1||Quadratic form:1||marginal likelihood:1||singleindex model:1||Optimal design point:1||Logistic regression model:1||Hierarchical prior:1||Prior positivity:1||KNHANES data:1||과학화 전투훈련:1||literature data:1||Vector autoregression:1||Bsplines:1||Orthogonal polynomials:1||Bayesian latent factor regression:1||Stochastic search variable selection:1||Quantile regression:1||scale mixture of the normal distribution:1||스플라인:1||해밀턴 필터:1||코스피.:1||cross validation:1||Cosine series:1||Dirichlet process mixture model:1||Adaptive rejection sampling:1||Partially linear models:1||LASSO:1||Penalized Gaussian process regression:1||역 베이즈 공식:1||Gibbs sampler:1||Gaussian process prior:1||Doseresponse study:1||Symmetric density:1||model&#8208:1||functional covariate:1||longitudinal semicontinuous data:1||zeroinflated model:1||response relationship:1||Bayesian nonlinear quantile regression:1||temporal dependency:1||Sparse data:1||Multiplicative gamma process shrinkage:1||Asymmetric Laplace distribution:1||Horseshoe plus prior:1||Bias correction method:1||Structural equation model:1||Hamilton filter:1||posterior convergence rate:1||model choice:1||precipitation prediction:1||Uncertain constraint:1||shrinkage priors:1||난수 생성기:1||Covariance function:1||Partially linear model:1||Hierarchical priors:1||이상점 탐지:1||반응용량 모형:1||Covariance kernel:1||Bivariate copulas:1||Regression function:1||Posterior density consistency:1||Hierarchical prior distribution:1||영과잉 모형:1||hurdle model:1||KCTC:1||GaussianWishart process:1||consistency:1||timevarying coefficients:1||semiparametric regression:1||stochastic restriction:1||empirical Bayes:1||Functional regression:1||Prediction risk:1||Hierarchical Bayesian model:1||62F15:1||벡터자기회귀모형:1||Vector autoregressive model:1||로그오목함수:1||Model comparison:1||Predictive distribution:1||레버리지 효과:1||Leverage effect:1||Stochastic volatility model:1||Partial correlation:1||Nonparametric regression:1||Orthogonality:1||로지스틱 회귀모형:1||Ammonium Perchlorate:1||two&#8208:1||Functional predictor:1||Metaregression:1||Basis functions for splines:1||semiparametric models:1||Bspline:1||Convergence rate:1||구조방정식 모형:1||마코프 체인 몬테 카를로:1||KOSPI.:1||Basis function:1||goodnessoffit tests:1||beta process:1||model selection:1||variational Bayes:1||Goodnessoffit tests:1||asymmetric Laplace:1||축소 방법(shrinkage method):1||사전분포:1||prior distribution:1||consumer price index.:1||logconcave function:1||multimodal function:1||Functional constraints:1||Posterior distribution:1||혼합 정규분포:1||KOSPI 자료.:1||KOSPI data.:1||smoothness:1||root mean squared error.:1||Gene network:1||Kendall's τ:1||Spearman's ρ:1||empirical Bayes Gibbs sampler:1||MAP:1||과염소산암모늄:1||Uniformly consistent tests:1||Hellinger metric:1||part random effects model:1||Semiparametric regression:1||변화점:1||Globallocal shrinkage:1||KullbackLeibler risk bound:1||Hierarchical Bayes:1||Shape constraints:1||

RSS_1.0 RSS_2.0 ATOM_1.0

145 Anam-ro, Seongbuk-gu, Seoul, 02841, Korea+82-2-3290-2963

Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.

Detailed Information

Keyword

BROWSE