Modeling Random Effects Using Global–Local Shrinkage Priors in Small Area Estimation
小区域估计中采用全局—局部收缩先验建模随机效应
Small area estimation is becoming increasingly popular for survey statisticians. One very important program is Small Area Income and Poverty Estimation undertaken by the United States Bureau of the Census, which aims at providing estimates related to income and poverty based on American Community Survey data at the state level and even at lower levels of geography. This article introduces global–local (GL) shrinkage priors for random effects in small area estimation to…