Constructing Gibbs Samplers for Bayesian Logistic Item Response Models

Abstract

Peer reviewed

Zhehan Jiang and Jonathan Templin

Multivariate behavioral research, Vol.53(1), pp.132-133

01/01/2018

DOI: 10.1080/00273171.2017.1404897

PMID: 29304298

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Mathematical Methods In Social Sciences

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Title: Subtitle: Constructing Gibbs Samplers for Bayesian Logistic Item Response Models
Creators: Zhehan Jiang - University of Alabama
Jonathan Templin - University of Kansas
Resource Type: Abstract
Publication Details: Multivariate behavioral research, Vol.53(1), pp.132-133
Publisher: Taylor & Francis
DOI: 10.1080/00273171.2017.1404897
PMID: 29304298
ISSN: 0027-3171
eISSN: 1532-7906
Number of pages: 2
Language: English
Date published: 01/01/2018
Academic Unit: Psychological and Quantitative Foundations
Record Identifier: 9984371092402771

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