저자의 연구 키워드

저자의 연구 키워드

#1) model

#1)모형

#국소우도

#깁스 샘플링

#내재적 베이즈요인

#내재적 베이즈인자

#로지스틱 판별분석

#마이크로어레이

#메트로폴리스-혜스팅스 알고리즘

#모수추정

#무정보 부적절 사전분포

#무정보 사전분포

#베이즈인자

#베이지안 모형선택

#변화점 분석

#부분 최소제곱 요인

#부분적 베이즈요인

#사후확률

#인자분석 요인

#일변량 정규분포

#자기회귀계수

#주성분분석 요인

#adaptive rejection Metropolis sampling

#adaptive rejection sampling

#AIBF)

#AR

#arithmetic intrinsic Bayes factor

#arithmetic intrinsic Bayes fator

#autocorrelation structure

#Bayes factor

#Bayesian approach

#Bayesian estimation

#Change Point

#change point, exponential sequence

#Complex algorithm

#Conditional least squares estimates

#Current status data

#default Bayes factor

#Default rate

#Direct search complex algorithm

#Dirichlet process prior

#Empirical Bayes estimation

#FBF)

#Four-parameter gamma distribution

#fractional Bayes factor

#Gibbs sampler

#Gibbs sampling

#historical data

#IBF)

#intrinsic Bayes factor

#Jefferys prior

#Jeffreys prior

#Laplacian Moving Average

#linear discrimination analysis

#LMA) process

#Maximum likelihood estimate

#Maximum likelihood estimation

#MCMC algorithm

#median intrinsic Bayes factor

#Metropolis-Hastings algorithm

#MIBF)

#Modified maximum likelihood estimate

#multivariate normal populations

#Multivariate Normal Random Variates

#Nakagami-m fading parameter

#New Laplacian Autoregressive Moving Average

#New Laplacian autoregressive time series model

#NLARMA) process

#noninformative improper prior

#noninformative prior

#nonparametric maximum likelihood estimation

#Panel data

#Parameter Estimation

#partial least square method

#partially time reversibility

#Poisson sequence

#posterior probability

#power prior

#Principal component analysis

#quadratic discrimination analysis

#Random coefficient autoregressive model

#Reference prior

#Regression models with stationary and invertible ARMA errors, fractional Bayes factor

#Stationarity-invertibility region

#Stationary ARMA model

#strong-mixing property

#Truncated normal distribution

#Two-parameter Kappa distribution