ScholarWorks@Sookmyung Women's University: Noh, Hohsuk

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Noh, Hohsuk (노호석)

이과대학 (통계학과)

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Tel 02-2077-7127
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stochastic frontier model:2||integrase:2||Granger causality:2||transcriptional start sites:2||gammaretroviral vectors:2||DNAbinding protein domain:1||Frontier function:1||Gradient boosting machine:1||High dimension:1||Inefficiency distribution:1||Least majorant:1||Linear programming:1||Linear quantile regression:1||Machine learning:1||Measurement error:1||Model selection consistency:1||Monotone smoothing:1||Multiple shape constraints:1||Multivariate time series:1||Neural network:1||Nonparametric quantile regression:1||Polynomial spline:1||Productivity analysis:1||R:1||Random forest:1||Regularization parameter selection:1||Secondorder cone programming:1||Semiparametric modeling:1||Shrinkage method:1||Stationary vine copula models:1||Stochastic frontier models:1||Stock returns:1||Variable importance:1||analyst reports:1||arrhythmia prediction:1||bandwidth selection:1||big data:1||boundary curve:1||concavity:1||construct validity:1||copula:1||cryptocurrency:1||data envelopment analysis:1||directional dependence:1||empirical distribution function:1||empirical independence process:1||extremevalues:1||frontier function:1||gene therapy:1||group efficiency comparison:1||kernel smoothing:1||linear programming:1||local linear fitting:1||local polynomial estimator:1||locationscale model:1||model specification:1||monotonicity:1||monotonicity constraint:1||multiple shape constraints:1||multivariate time series:1||multivariate timeseries:1||natural language processing:1||nonparametric estimation:1||nonparametric regression:1||parallel computing:1||parallelism point selection:1||penalized factor analysis:1||piecewise polynomials:1||primerbinding site:1||production efficiency:1||profile likelihood estimator:1||protein structure perturbation:1||quantification:1||random forest Ftest:1||retroviral integrations:1||semiparametric modelling:1||semiparametric regression:1||spline smoothing:1||stationary vine copula models:1||stock return predictability:1||time series distance function:1||ventricular tachycardia:1||개념수량화:1||다변량 시계열:1||단조성 제약조건:1||랜덤 포레스트 Ftest:1||병렬처리:1||병렬화 포인트 선택:1||부정맥예측:1||빅데이터:1||생산효율:1||시계열 간 거리함수:1||심실빈맥:1||애널리스트 보고서:1||요인분석:1||자연어 처리:1||주식수익률 예측가능성:1||최근접이웃방법:1||타당도:1||평활량선택:1||프런티어 함수:1||1nearest neighbor:1||확률프런티어모형:1||Bootstrap:1||Boundary curve:1||Concavity:1||Conditional quantiles:1||

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Sookmyung Women's University. Cheongpa-ro 47-gil 100 (Cheongpa-dong 2ga), Yongsan-gu, Seoul, 04310, Korea02-710-9127

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