CAU Scholar's Space: Hwang, Beom Seuk

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Hwang, Beom Seuk (황범석)

경영경제대학 (응용통계학과)

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Tel 02-820-5757
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Bayesian inference:8||Markov chain Monte Carlo:6||베이지안 추론:6||마코프체인 몬테카를로:5||COVID19:4||Psychoneuroimmunology:3||Asthma:3||classification:3||Fish oil:2||latent variable:2||Inflammation:2||잠재 변수:2||Epidemiology:2||Nutritional neuroscience:2||Markov chain Monte Carlo (MCMC):2||Omega3:2||Public health surveillance:2||Dirichlet process mixture:2||Omega6:2||Metropolis algorithm:2||hidden Markov model:2||Disease transmission:2||benchmark dose:2||pregnancy:2||infectious:2||Physical distancing:2||Ecigarette Vapor:1||EM algorithm:1||Endometriosis:1||Ethnic groups:1||F2isoprostanes:1||Facial expression:1||Fear:1||Fracture:1||GZIP:1||Gastroenterologists:1||Gastrointestinal diseases:1||Gaussian process:1||Gini coefficient:1||Gold standard:1||Hand hygiene:1||Health disparities:1||Health knowledge:1||Healthcare worker:1||Heart rate variability:1||Income inequality:1||Infant:1||Integrative medicine:1||Interleukin6:1||KOSPI200:1||Kernel stickbreaking process:1||LIFE study:1||LIFE 연구:1||Latent class model:1||Leptin:1||Lung Injury:1||MCMC:1||Medically indicated delivery:1||MetropolisHastings algorithm:1||Monitor:1||Mortality:1||Neurotransmitter agents:1||Neutral:1||Nonpharmaceutical interventions:1||Nonparametric bayes:1||Norepinephrine:1||Observation:1||Order constrained analysis:1||Order restricted analysis:1||Oxidative stress:1||Oxygen inhalation therapy:1||Pneumonia:1||Poisson mixture model:1||PolyaGamma distribution:1||Practice patterns:1||Pregnancy:1||Preterm birth:1||Proinflammatory cytokines:1||Psychological status:1||Public health:1||REML:1||Respiration:1||Respiratory sinus arrhythmia:1||Selfcontrolled caseseries analysis:1||Social distancing:1||Steroids:1||Stochastic order:1||Stress:1||Telomeres:1||Thompson sampling:1||Tramadol:1||Trier social stress test:1||Tumor necrosis factor alpha:1||Vagal tone:1||Variability order:1||Weakidentifiability:1||Wholesale customers data:1||Yoga:1||ZIP:1||air pollution:1||approximation:1||attitudes:1||chemical mixture models:1||cluster purity:1||conditional autoregressive model:1||couplebased study:1||data augmentation method:1||developmental toxicity study:1||diethylhexyl phthalate:1||directed acyclic graph:1||discrete data:1||drug interaction:1||dynamic NelsonSiegel model:1||energy demand pattern:1||environmental pollutants:1||global stock market index:1||health care data:1||hidden markov model:1||hierarchical clustering:1||highrisk drinking:1||joint modeling:1||kernel machine regression:1||kernel stick breaking process:1||latent class model:1||logistic regression model:1||longitudinal zeroinflated count data:1||low dose additivity:1||mixture model:1||multiarmed bandits:1||multinomial probit model:1||na"ive Bayes:1||nonparametric Bayes:1||nonparametric regression:1||obesity:1||ordered probit model:1||pharmaceutical data:1||physicians’:1||posterior probability:1||practice:1||predictive distribution:1||prepregnancy obesity:1||preterm birth:1||preterm delivery:1||prior elicitation:1||random effect:1||residential load curve:1||risk assessment:1||selfcontrolled case series:1||semicontinuous data:1||semiparametric model:1||skewed logit model:1||smoking behavior:1||spatial dependence:1||spontaneous delivery:1||statespace model:1||statistical learning:1||stochastic volatility:1||stock index prediction:1||subadditivity effect:1||support vector regression:1||term rate data:1||time series classification:1||tramadol:1||unbalanced binary data:1||variational Bayesian approximation:1||volatility regime:1||zero inflated data.:1||zeroinflated Poisson regression model:1||zeroinflated count data:1||zeroinflated distribution:1||zeroinflated negative binomial regression model:1||가우시안 과정:1||결합모형:1||경시적 영과잉 가산자료:1||계층적 군집분석:1||고객 데이터:1||고위험 음주:1||군집 순도:1||근사 기법:1||기간 이자율 자료:1||나이브 베이즈:1||다중 슬롯머신:1||다항 프로빗 모형:1||독성 물질:1||동적 넬슨시겔 모형:1||로지스틱 회귀모형:1||마르코프 체인 몬테 카를로:1||메트로폴리스 알고리즘:1||메트로폴리스해스팅스 알고리즘:1||반연속적인 자료:1||방향성 비순환 그래프:1||베이지안 계층 군집분석:1||베이지안 네트워크:1||베이지안 잠재계층모형:1||베이지안 최적화:1||변동 국면:1||변분 베이즈 방법:1||분류 분석:1||분류분석:1||불균형 이진수 자료:1||비대칭 로짓 모형:1||비대칭 연결함수:1||비트코인:1||상태 공간 모형:1||서포트 벡터 회귀:1||수정 랜드 지수:1||알츠하이머병:1||약물상호작용:1||약식별가능성:1||약학 자료:1||영과잉 음이항 회귀모형:1||영과잉 이산형 자료:1||은닉 마르코프 모델:1||은닉 마르코프 모형:1||의료 서비스 자료:1||이산형 자료:1||자기대조환자군 연구:1||잠재계층 변수:1||주가지수 예측:1||지역사회 건강조사:1||코스피200 지수:1||톰슨 샘플링:1||통계적 학습:1||폴랴감마 분포:1||해외 주가지수:1||혼합 모형.:1||ARI:1||확률적 변동성 모형:1||Adiponectin:1||Alzheimer's disease:1||Angry:1||Antidepressant. Benzodiazepine:1||Area under the curve:1||Artificial:1||Asymmetric link function:1||Autonomic nervous system:1||BART:1||Bayes factor:1||Bayesian hierarchical clustering:1||Bayesian latent class model:1||Bayesian network:1||Bayesian optimization:1||Benchmark dose:1||Bitcoin:1||Breast cancer:1||Cell aging:1||Community Health Survey:1||Complementary medicine:1||Compliance:1||Concurrent use:1||Couplebased design:1||Depression:1||Developmental toxicology study:1||

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