Structural equation models for area health outcomes with model selection
From MaRDI portal
Publication:5124800
DOI10.1080/02664760903563692OpenAlexW2157738828MaRDI QIDQ5124800
Publication date: 30 September 2020
Published in: Journal of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/02664760903563692
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Random effect and latent variable model selection
- Space-varying regression models: specifications and simulation
- Multi-dimensional multivariate Gaussian Markov random fields with application to image processing
- Bayesian image restoration, with two applications in spatial statistics (with discussion)
- Sampling-Based Approaches to Calculating Marginal Densities
- Mixtures of g Priors for Bayesian Variable Selection
- Variable Selection and Function Estimation in Additive Nonparametric Regression Using a Data-Based Prior
- Bayesian Measures of Model Complexity and Fit
- Generalized common spatial factor model
- Bayesian Factor Analysis for Spatially Correlated Data, With Application to Summarizing Area-Level Material Deprivation From Census Data
- Structural Equation Modeling
- Identifying outliers in Bayesian hierarchical models: a simulation-based approach
This page was built for publication: Structural equation models for area health outcomes with model selection