Document Detail

BayesSDT: software for Bayesian inference with signal detection theory.
MedLine Citation:
PMID:  18522055     Owner:  NLM     Status:  MEDLINE    
This article describes and demonstrates the BayesSDT MATLAB-based software package for performing Bayesian analysis with equal-variance Gaussian signal detection theory (SDT). The software uses WinBUGS to draw samples from the posterior distribution of six SDT parameters: discriminability, hit rate, false alarm rate, criterion, and two alternative measures of bias. The software either provides a simple MATLAB graphical user interface or allows a more general MATLAB function call to produce graphs of the posterior distribution for each parameter of interest for each data set, as well as to return the full set of posteriorsamples.
Michael D Lee
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Behavior research methods     Volume:  40     ISSN:  1554-351X     ISO Abbreviation:  -     Publication Date:  2008 May 
Date Detail:
Created Date:  2008-06-04     Completed Date:  2008-07-30     Revised Date:  2008-11-21    
Medline Journal Info:
Nlm Unique ID:  101244316     Medline TA:  Behav Res Methods     Country:  United States    
Other Details:
Languages:  eng     Pagination:  450-6     Citation Subset:  IM    
Department of Cognitive Sciences, University of California, Irvine, California 92697-5100, USA.
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MeSH Terms
Bayes Theorem*
Data Interpretation, Statistical*
Models, Psychological
Programming Languages
Psychological Theory
Psychophysics / methods*
Signal Detection, Psychological*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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