Point estimates for variance-structure parameters in Bayesian analysis of hierarchical models
type: Item
instance of: scholarly article
title: Point estimates for variance-structure parameters in Bayesian analysis of hierarchical models
zbMATH Open document ID: 1452.62222
author: Yi He
author: James S. Hodges
published in: Computational Statistics and Data Analysis
publication date: 2009-06-12T00:00:00Z
Mathematics Subject Classification ID: 62F15
Mathematics Subject Classification ID: 62J10
Mathematics Subject Classification ID: 62M10
Mathematics Subject Classification ID: 62P10
Mathematics Subject Classification ID: 62-08
zbMATH DE Number: 5564655
zbMATH Keywords: hierarchical model
zbMATH Keywords: point estimate
zbMATH Keywords: posterior distribution
zbMATH Keywords: precision
zbMATH Keywords: standard deviation
zbMATH Keywords: variance
MaRDI profile type: Publication
full work available at URL: j.csda.2007.08.021
OpenAlex ID: W2037002114
cites work: Bayesian Analysis of Agricultural Field Experiments
cites work: Q4304870
cites work: Analysis of variance -- why it is more important than ever. (With discussions and rejoinder)
cites work: Estimating Incumbency Advantage and Its Variation, as an Example of a Before–After Study
cites work: Q4864274
cites work: Q5794043
cites work: Re-considering the variance parameterization in multiple precision models
cites work: Some Algebra and Geometry for Hierarchical Models, Applied to Diagnostics
cites work: On the Precision of the Conditionally Autoregressive Prior in Spatial Models
cites work: Posterior Bimodality in the Balanced One-Way Random-Effects Model
cites work: Consistent Estimates Based on Partially Consistent Observations
cites work: Identification of the variance components in the general two-variance linear model
cites work: Spatial Analyses of Periodontal Data Using Conditionally Autoregressive Priors Having Two Classes of Neighbor Relations
cites work: Bayesianly justifiable and relevant frequency calculations for the applied statistician
cites work: Bayes estimates in one-way and two-way models
cites work: Measures of Bayesian learning and identifiability in hierarchical models
DOI: 10.1016/J.CSDA.2007.08.021
description: scientific article; zbMATH DE number 5564655