Using the Effective Sample Size as the Stopping Criterion in Markov Chain Monte Carlo with the Bayes Module in M<i>plus</i>
Bayesian modeling using Markov chain Monte Carlo (MCMC) estimation requires researchers to decide not only whether estimation has converged but also whether the Bayesian estimates are well-approximated by summary statistics from the chain. On the contrary, software such as the Bayes module in M<i>pl...
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| Asıl Yazarlar: | , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
MDPI AG
2021-07-01
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| Seri Bilgileri: | Psych |
| Konular: | |
| Online Erişim: | https://www.mdpi.com/2624-8611/3/3/25 |
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