An improved stochastic EM algorithm for large‐scale full‐information item factor analysis-Reference-Cited by-同舟云学术

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An improved stochastic EM algorithm for large‐scale full‐information item factor analysis

Published:2018-12-03 Issue:1 Volume:73 Page:44-71
ISSN:0007-1102
Container-title:British Journal of Mathematical and Statistical Psychology
language:en
Short-container-title:Br J Math Stat Psychol

Author:

Zhang Siliang¹,Chen Yunxiao²^ORCID,Liu Yang³

Affiliation:

1. Shanghai Center for Mathematical Sciences Fudan University Shanghai China

2. Department of Statistics, London School of Economics and Political Science London UK

3. Department of Human Development and Quantitative Methodology, University of Maryland College Park MD

Publisher

Wiley

Subject

General Psychology,Arts and Humanities (miscellaneous),General Medicine,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/bmsp.12153

Reference72 articles.

1. Mixed membership stochastic blockmodels;Airoldi E. M.;Journal of Machine Learning Research,2008

2. Bayesian Estimation of Normal Ogive Item Response Curves Using Gibbs Sampling

3. MCMC estimation and some model-fit analysis of multidimensional IRT models

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