ScholarWorks@Hanyang University ERICA Campus: Kim, Seong Wook

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Kim, Seong Wook (김성욱)

ERICA 과학기술융합대학 (ERICA 수리데이터사이언스학과)

Research Area: 베이지안 통계계산

Tel 031-400-5467
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Bayes factor:8||Model selection:6||historical data:5||power prior:3||MetropolisHastings algorithm:3||Posterior probability:3||Intrinsic prior:3||Changepoint analysis:2||Accident prediction model:2||베이즈 요인:2||Monte Carlo simulation:2||Binary segmentation:2||Default rate:2||Gibbs sampling.:2||Bayesian approach:2||Power lawprocess:2||Power prior:2||EM algorithm:2||AR(1) model:2||posterior probability:2||Changepoint:2||Gibbs sampling:1||Gray&apos:1||Grinder:1||Group invariance:1||Historical data:1||Informative censoring:1||Interval censoring:1||Intrinsic Bayes factor:1||Jeffreys prior:1||Kernel estimation:1||Line edge roughness:1||Linewidth roughness:1||Markov Chain Monte Carlo:1||Markov chain Monte Carlo:1||Maximum likelihood estimation:1||Missing intermediate event:1||Mixture models:1||Multiobjective discrete optimization:1||Multistate model:1||Numerical method:1||Odds ratio:1||Porcelain insulator:1||Productlimit estimator:1||Quantile:1||Quasistatic analysis:1||Relative effectiveness:1||Resist reflow:1||Road safety features:1||Sectionbased safety improvement project:1||Semicompeting risks data:1||Semiparametric inference:1||Smoothly clipped absolute deviation:1||Sparsity:1||Zeroinflated model:1||Zeroinflated regression model:1||accident reduction effect:1||accidentprone spot:1||air quality:1||anamorphic numerical aperture:1||binomial distribution:1||bivariate Poisson distribution:1||bivariate exponential distribution:1||change point:1||change point analysis:1||check up periods:1||cutpoint:1||default Bayes factor:1||economic burden:1||ecosystem service:1||empirical Bayes method:1||exponential distribution:1||extreme precipitation:1||extreme ultraviolet lithography:1||frequency analysis:1||generalized Pareto distribution:1||hazard function:1||hidden truncation:1||high temperature:1||highways:1||hybrid censored data:1||hypercyclic operator:1||informative prior:1||intelligent transport systems:1||intrinsic Bayes factor:1||lognormal frailty:1||maximally selected linear rank statistic:1||maximum likelihood estimate:1||membership probability:1||metaanalysis:1||mixture model:1||mortality relative risk:1||noninformative prior:1||order restrictedinference:1||order statistics:1||permutation test:1||power law process:1||power prior.:1||progressive censoring:1||propriety.:1||qfrequently hypercyclic operator:1||qfrequently hypercyclic subspace:1||replacement periods:1||roads &:1||s statistic:1||safety countermeasure:1||shadow effects:1||strong operator topology:1||traffic engineering:1||transport management:1||urban park:1||valuation:1||value of statistical life (VSL):1||variable message signs:1||zeroinflated models:1||zeroinflated poisson:1||감마 분포:1||경험적베이즈:1||구간단위안전개선사업:1||도로안전시설물:1||마이크로어레이:1||마코브 연쇄 몬테카를로:1||마코프연쇄:1||베이지안 모형선택:1||상대효과도:1||승산비:1||영과잉 모형:1||22 nm node:1||와이블 분포:1||Additive and multiplicative hazards model:1||Angular contact ball bearing:1||Asymptotic equivalence:1||Bayesian Model selection:1||Bayesian computation:1||Bayesian estimation:1||Bayesian model selection:1||Boosting:1||Censored data:1||Clustered intervalcensored data:1||Competing risks:1||Cumulative distribution:1||Dependence measure:1||Empirical bayes:1||Extreme ultraviolet lithography:1||Fractional Bayes factor:1||Frailty effect:1||Gauss–Hermite approximation:1||Generalized additive model:1||Gibbs sampler:1||

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