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The Bayesian Expectation-Maximization-Maximization for the 3PLM
The current study proposes an alternative feasible Bayesian algorithm for the three-parameter logistic model (3PLM) from a mixture-modeling perspective, namely, the Bayesian Expectation-Maximization-Maximization (Bayesian EMM, or BEMM). As a new maximum likelihood estimation (MLE) alternative to the...
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| 出版年: | Front Psychol |
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| 主要な著者: | , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Frontiers Media S.A.
2019
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6555200/ https://ncbi.nlm.nih.gov/pubmed/31214067 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fpsyg.2019.01175 |
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