Understanding memory impairment with memory models and hierarchical Bayesian analysis
type: Item
instance of: scholarly article
title: Understanding memory impairment with memory models and hierarchical Bayesian analysis
zbMATH Open document ID: 1208.91130
author: James P. Pooley
author: Michael D. Lee
author: William R. Shankle
published in: Journal of Mathematical Psychology
publication date: 2011-03-14T00:00:00Z
Mathematics Subject Classification ID: 91E40
Mathematics Subject Classification ID: 91E10
Mathematics Subject Classification ID: 92C50
zbMATH DE Number: 5865708
zbMATH Keywords: Alzheimer's disease
zbMATH Keywords: cognitive psychometrics
zbMATH Keywords: dementia
zbMATH Keywords: human memory
zbMATH Keywords: measurement models
describes a project that uses: BayesDA
describes a project that uses: WinBUGS
MaRDI profile type: Publication
full work available at URL: j.jmp.2010.08.003
OpenAlex ID: W2134642857
Wikidata QID: Q57710674
cites work: Q5480569
cites work: Prior distributions for variance parameters in hierarchical models (Comment on article by Browne and Draper)
cites work: Q4807438
cites work: Graphical models
cites work: Hierarchical single- and dual-process models of recognition memory
cites work: Bayesian parameter estimation in the Expectancy Valence model of the Iowa gambling task
DOI: 10.1016/J.JMP.2010.08.003
description: scientific article; zbMATH DE number 5865708