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The Rise of Markov Chain Monte Carlo Estimation for Psychometric Modeling
Markov chain Monte Carlo (MCMC) estimation strategies represent a powerful approach to estimation in psychometric models. Popular MCMC samplers and their alignment with Bayesian approaches to modeling are discussed. Key historical and current developments of MCMC are surveyed, emphasizing how MCMC a...
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| 第一著者: | |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Hindawi Limited
2009-01-01
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| シリーズ: | Journal of Probability and Statistics |
| オンライン･アクセス: | http://dx.doi.org/10.1155/2009/537139 |
| タグ: |
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