ScholarWorks@Korea University: Kim, Hee Young

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Kim, Hee Young (김희영)

College of Public Policy (Division of Big Data Science)

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Tel 044-860-1753
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SVM:4||railway point machine:3||Binomial thinning:3||integervalued time series:2||negative binomial:2||time series:2||Breast neoplasms:2||seemingly unrelated regression model:2||Collocation:2||Parameter estimation:2||철도 선로전환기:2||62M10:2||Ultrasonography:2||Chisquare statistic:2||Mutual
information:2||OLAP:2||붓스트랩:2||decomposition model:2||Binomial AR(1) model:2||62F12:2||ROC:2||autoregressive error model:2||thinning operations:2||binomial AR(p) model:2||60J10:2||binomial AR(1) model:2||Mammography:2||conditional variance:2||Poisson distribution:2||AUC:2||the combination of forecasts.:2||Cooccurrence:2||Breast:2||Association:2||62M05:2||Binomial autoregressive models:1||Poisson:1||discriminant analysis:1||negative binomial distribution:1||fault modeling:1||Replacement Condition Detection:1||Data Cube:1||Integervalued GARCH:1||일반화추정방정식:1||betabinomial AR(1) model:1||2Block jackknife:1||Optical coherence tomography:1||computed tomography (CT):1||multidetector row, computed tomography (CT):1||serial dependence:1||Ultrasound:1||Clustering:1||Neonatal intensive care unit (NICU):1||군집분석.:1||Stationary process:1||Count data:1||ARMA model.:1||Binomial index of dispersion:1||Extrabinomial zeros:1||Count data time series:1||forecasting theory:1||INGARCH model:1||RPM:1||railway pointmachine:1||Sound Analysis:1||Flow:1||Experience Sampling Method:1||conditional leastsquares estimator:1||Integer generalized autoregressive conditional heteroscedasticity:1||Integervalued AR(p):1||Residuals:1||Thinning parameter:1||Glycosylated hemoglobin:1||blockofblocks bootstrap:1||비모수적방법:1||smoothed periodogram:1||Calcification:1||Rotavirus:1||Bootstrap:1||two random processes:1||overdispersion:1||quasilikelihood:1||pedestrian injury counts:1||count time series:1||state dependence:1||railways:1||62P20:1||binomial AR(2) process:1||betabinomial AR(1) process:1||binomial AR(1) process:1||s tests:1||경험표집법:1||Generalized Estimating Equations:1||Process capability indices:1||Thinning operations:1||squared difference estimator:1||Diabetic macular edema:1||generalized Poisson:1||Breast cysts:1||minimally invasive repair of pectus excavatum (MIRPE):1||CT scan:1||clustering:1||underreporting:1||condition monitoring:1||generalised linear autoregressive moving average model:1||replacement condition monitoring:1||Count processes:1||Bartlett&apos:1||powerdivergence test statistics:1||over dispersion:1||Overdispersion:1||time series of counts data:1||Overdispersion:1||nonparametric method:1||movingaverage model:1||Pectus excavatum:1||자기상관 오차항을 가진 회귀모형:1||SUR모형:1||결합예측.:1||Sieve Bootstrap.:1||Binomial zero index:1||generalised linear model:1||integervalued generalised autoregressive conditional heteroscedastic model:1||GLARMA model:1||maintenance engineering:1||Railway Point Machines:1||support vector machine:1||s formula:1||행복:1||binomial index of dispersion:1||overdispersion:1||Stock data:1||moments:1||Probability integral transformation:1||일반화추축량:1||autoregressive model:1||cardiac deformity index:1||Outbreak:1||GARCH:1||일반화 조건부 이분산 모형:1||smoothing:1||일반화 자기회귀 조건부 이분산:1||Diabetic foot:1||CT angiography:1||시계열분해방법:1||Integer valued time series:1||spatial autocorrelation:1||PM10:1||Extrabinomial dispersion:1||Adjusted sample size:1||Markov model:1||fault diagnosis:1||autoregressive moving average processes:1||autoregressive movingaverage model:1||performance evaluation:1||forecasting approach:1||railway condition monitoring system:1||소리 분석:1||Generalized Liner Model:1||cumulants:1||radiation exposure:1||breast:1||최대우도법:1||nonstationary time series:1||Neonate:1||nonstationarity:1||Doppler:1||ConwayMaxwellPoisson:1||Count time series:1||Model adequacy:1||Model selection:1||Hidden Markov model:1||Zero inflation:1||electric current shape analysis:1||교체시기 탐지:1||Railway Point Machine:1||Stress Detection:1||Threshold model.:1||volatility.:1||maximum likelihood method:1||generalized pivotal quantity:1||Markov chain:1||조건부 이분산:1||forecasting:1||precipitation.:1||Generalized autoregressive conditional
heteroscedasticity:1||무조건부 분산:1||Tissue oxygenation:1||zero inflation:1||zeroinflation:1||signal processing:1||Binomial distribution:1||binomial distribution:1||데이터 큐브:1||audio data:1||스트레스 탐지:1||Quenouille&apos:1||몰입:1||일반화선형모형:1||Happiness:1||quasimaximum likelihood estimation:1||phantom imaging, mastectomy:1||bootstrap:1||Ultrasound technology:1||Ultrasound comparative study:1||bootstrap confidence interval:1||causespecific mortality:1||two correlations:1||bootstrapping:1||signed binomial thinning:1||Periodogram:1||spectral density:1||clustering analysis.:1||Prediction interval:1||

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