저자의 연구 키워드

저자의 연구 키워드

#가변계수 모형

#가중최소제곱 서포트벡터기계

#다층 신경망

#단조

#대조괴리도

#벌칙상수

#벌칙화 목적함수

#분류용 제한볼츠만기계

#생존함수

#서포트벡터기계

#서포트벡터분위수회귀

#소지역 추정

#심층 신경망

#일반화 교차타당성함수

#엠-분위수

#역전파 알고리즘

#일반화 교차타당성함수

#일반화 이분산 자기회귀모형

#일반화선형모형

#일반화추정방정식

#일반화커널추정방정식

#임의우측 중도절단자료

#임의우측 증도절단자료

#임의효과

#제한볼츠만기계

#중도절단분포

#측정오차 모형

#최소제곱 서포트 벡터 기계

#최소제곱 서포트벡터기계

#커널방법

#커널기법

#커널모수

#커널회귀

#평활변수

#패널자료

#패널추정

#평균 대조괴리도

#평균 일반화 이분산 자기회귀모형

#평활

#혼합효과모형

#회귀

#Accelerated failure time

#ANOVA decomposition kernel

#Asymmetric quadratic loss function

#Average contrastive divergence

#Backprogation algorithm

#backpropagation algorithm

#Censored regression

#Censored regression model

#Censoring distribution

#Check function

#contrastive divergence

#Cox proportional hazard model

#Cross validation technique

#Deep learning

#deep neural network

#discriminative restricted Boltzmann machine

#errors in variables

#Feature selection

#generalized approximate cross validation function

#Generalized autoregressive conditional heteroscedasticity model

#generalized autoregressive conditional heteroscedasticity model in the mean model

#generalized cross validation

#generalized cross validation function

#Generalized estimating equation

#generalized kernel estimating equation

#generalized linear model

#geographically weighted regression

#hidden layer

#hyper-parameters

#iteratively reweighted least squares procedure

#it-eratively reweighted Least squares procedure

#iteratively reweighted least squares pro-cedure

#kernel Cox regression model

#kernel machine

#kernel method

#Kernel parameter

#Kernel regression

#kernel technique

#L1-penalty

#Least absolute shrinkage and selection operator

#least squares support vector

#least squares support vector machine

#least squares support vector regression

#least squares-support vector machine

#Location-scale model

#logistic regression

#machine

#measurement error model

#mixed effects model

#mixed effects regression model

#model selection

#monotonocity

#M-quantile

#multilayer neural network

#multi-layer neural network

#orthogonal distance regression

#panel data

#panel estimation

#penalized objective function

#pseudo-response variable

#quantile regression

#random effects

#randomly right censored data

#regression

#restricted Boltzmann machine

#re-stricted regression quantile

#semiparametric regression model

#semivarying coefficient model

#small area estimation

#smoothing

#smoothing variable

#smoothly clipped absolute deviation penalty

#spatial informa-tion

#support vector machine

#support vector quantile regression

#survival function

#variable selection

#vari-able selection

#varying coeffcient model

#varying coefficient model

#varying coefficient regression model

#weighted least squares support vector machine