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Article

Variational Bayes Inference for Hidden Markov Diagnostic Classification Models

2021-07-06

Abstract excerpt

<p>Diagnostic classification models (DCMs) can be used to track the cognitive learning states of students across multiple time points or over repeated measurements. This study developed an effective variational Bayes (VB) inference method for hidden Markov longitudinal general DCMs. The simulations performed in this study verified the validity of the proposed algorithm for satisfactorily recovering the true parame...

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Literature Corpus work
0e186f5b-7a38-58b8-876e-8652d56c5918
DOI
10.31234/osf.io/28jkf
Open publication

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Variational Bayes Inference for Hidden Markov Diagnostic Classification ModelsDOI 10.31234/osf.io/28jkf
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