ScholarWorks@Hanyang University: CHOI, JUNGSOON

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CHOI, JUNGSOON (최정순)

COLLEGE OF NATURAL SCIENCES (DEPARTMENT OF MATHEMATICS)

Research Area: 통계학, Statistics

Tel 02-2220-2621
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베이지안 추론:3||Korea:3||Bayesian inference:3||Total knee arthroplasty:2||hepatitis A virus:2||zeroinflated Poisson:2||Bayesian hierarchical modeling:2||obesity:2||Navigation:2||Bayesian spatial variable selection:2||latent model:2||spatiotemporal analysis:2||spatiotemporal models:2||Low birth weight:2||Bayesian regression:1||Bayesian spacetime models:1||Bayesian spatial multilevel model:1||Bayesian statistics:1||Bigdata:1||Breast neoplasms:1||CHS:1||COVID19:1||Casuality:1||Cell saver:1||China:1||Cluster:1||Computerassisted diagnosis:1||Covariate adjustment:1||DIC:1||Dependence:1||Diagnostic:1||Dirichlet process mixture:1||Dirichlet process mixture model:1||Early detection of cancer:1||Exempted calculation system of health insurance:1||Fatality:1||Gastrointestinal stromal tumor:1||HIV care continuum:1||HIV transmission:1||Heart failure:1||Hepatitis A.:1||Ischemic stroke:1||Laparoscopy:1||Latent model:1||Latent structure:1||Mammary ultrasonography:1||Mammography:1||Markov chain Monte Carlo:1||Measurement error model:1||Medical service utilization:1||Minimal invasive surgery:1||Myocardial strain:1||Poisson model:1||Prestroke antiplatelet agents:1||RNAseq:1||Railway accident:1||Railway safety:1||Randomized controlled trial:1||Scrub typhus:1||Small area:1||Small submucosal tumor:1||Socioeconomic:1||Spacetime:1||Spacetime mixture model:1||Spatial:1||Spatial Kriging:1||Spatial analysis:1||Spatial autocorrelation:1||Spatial cluster:1||Spatial confounding problem:1||Spatiallytemporally varying coefficients:1||Spatiotemporal model:1||Spatiotemporal Model:1||Spatiotemporal mixture model:1||Station catchment area:1||Stickbreaking processes:1||Strain rate imaging:1||Subtypes:1||Temporal:1||Transfer pattern:1||Transit card data:1||Variable selection:1||Visualization:1||Zeroinflated Poisson Regression Model:1||Zeroinflated Poisson model:1||accidents:1||air pollution:1||atherosclerosis:1||cardiovascular disease:1||cardiovascular diseases:1||clustering:1||conditional autoregressive model:1||conditionally autoregressive model:1||consistency:1||damages:1||diabetes prevalence rates data:1||environment:1||evaluation:1||flow cytometry:1||foam cells:1||health:1||highrisk findings:1||homogeneous covariate effect:1||latent:1||latent structure model:1||loss function:1||macrophages:1||mice:1||mortality:1||neighborhood:1||oral health:1||periodontitis:1||piecewise linear splines:1||polypectomy:1||prior:1||propensity score:1||railway:1||relabeling algorithm:1||respiratory disease:1||simulation.:1||skewed normal distribution:1||small area data:1||socioeconomic status:1||spacetime mixture model:1||spacetime models:1||spatial:1||spatial analysis.:1||spatial cluster:1||spatial health data:1||spatial model:1||spatial random component:1||spatial statistics:1||spatiotemporal mixture model:1||spatiotemporal model:1||surveillance colonoscopy:1||survival:1||twopart models:1||variable selection:1||공간모형:1||공간분석:1||공간시간 모형:1||군집:1||당뇨병 유병률 자료:1||모의실험.:1||비만율:1||사망자:1||사상자:1||사회경제적 요인:1||영과잉 포아송회귀모형:1||왜도정규분포:1||일치성:1||조건부 자기회귀모형.:1||지역사회건강조사:1||철도사고:1||철도안전:1||Air pollution:1||측정오차모형:1||Antiretroviral therapy:1||Areaspecific Dirichlet process:1||Asthma:1||Asymmetric Laplace distribution:1||Automated fare collection:1||Autotransfusion:1||A형간염:1||Bayes factor:1||Bayesian:1||Bayesian approach:1||Bayesian hierarchical modelling:1||Bayesian model selection:1||Bayesian modeling:1||

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