Bayesian and likelihood methods for fitting multilevel models with complex level-1 variation.
type: Item
instance of: scholarly article
title: Bayesian and likelihood methods for fitting multilevel models with complex level-1 variation.
zbMATH Open document ID: 1132.62312
DOI: 10.1016/S0167-9473(01)00058-5
author: William Browne
author: David Draper
author: Harvey Goldstein
author: Jon Rasbash
published in: Computational Statistics and Data Analysis
publication date: 2002-07-15T00:00:00Z
Mathematics Subject Classification ID: 62F15
Mathematics Subject Classification ID: 65C40
Mathematics Subject Classification ID: 62P25
zbMATH DE Number: 1768231
zbMATH Keywords: Adaptive Metropolis-Hastings sampling
zbMATH Keywords: Educational data
zbMATH Keywords: Heteroscedasticity
zbMATH Keywords: Hierarchical modelling
zbMATH Keywords: IGLS
zbMATH Keywords: Markov chain Monte Carlo (MCMC)
zbMATH Keywords: Maximum-likelihood methods
zbMATH Keywords: MCMC efficiency
zbMATH Keywords: Multilevel modelling
zbMATH Keywords: RIGLS
describes a project that uses: alr3
describes a project that uses: HLM
describes a project that uses: BUGS
describes a project that uses: BayesDA
describes a project that uses: MLwiN
describes a project that uses: Gibbsit
MaRDI profile type: Publication
cites work: Implementation and performance issues in the Bayesian and likelihood fitting of multilevel models
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cites work: Adaptive Rejection Sampling for Gibbs Sampling
cites work: Multilevel mixed linear model analysis using iterative generalized least squares
cites work: Restricted unbiased iterative generalized least-squares estimation
cites work: Q4792002
cites work: Q3790486
full work available at URL: s0167-9473(01)00058-5
OpenAlex ID: W2113359871
description: scientific article; zbMATH DE number 1768231