Efficient estimation for the conditional autoregressive model
DOI10.1080/00949655.2014.893346zbMath1457.62252OpenAlexW1541687566MaRDI QIDQ5220891
Abdulkadir Hussein, Marwan A. Al-Momani, S. Ejaz Ahmed
Publication date: 27 March 2020
Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00949655.2014.893346
shrinkagehousing pricesbootstrappingspatial regressionasymptotic riskpretestconditional autoregressive
Applications of statistics to economics (62P20) Inference from spatial processes (62M30) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Ridge regression; shrinkage estimators (Lasso) (62J07)
Cites Work
- Unnamed Item
- Bayesian image restoration, with two applications in spatial statistics (with discussion)
- Hedonic housing prices and the demand for clean air
- Maximum likelihood estimation of models for residual covariance in spatial regression
- Risk comparison of some shrinkage M-estimators in linear models
- Shrinkage estimation for the regression parameter matrix in multivariate regression model
- Proper multivariate conditional autoregressive models for spatial data analysis
- On Biases in Estimation Due to the Use of Preliminary Tests of Significance
This page was built for publication: Efficient estimation for the conditional autoregressive model