After the analysis, we can examine whether the data are well described by the most credible possibilities in the considered set. If the data seem not to be well described, then we can consider expanding the set of possibilities. This process is called a [...]
Answer
posterior predictive check
Tags
#bayes #programming #r #statistics
Question
After the analysis, we can examine whether the data are well described by the most credible possibilities in the considered set. If the data seem not to be well described, then we can consider expanding the set of possibilities. This process is called a [...]
Answer
?
Tags
#bayes #programming #r #statistics
Question
After the analysis, we can examine whether the data are well described by the most credible possibilities in the considered set. If the data seem not to be well described, then we can consider expanding the set of possibilities. This process is called a [...]
Answer
posterior predictive check
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Open it nalysis, we can examine whether the data are well described by the most credible possibilities in the considered set. If the data seem not to be well described, then we can consider expanding the set of possibilities. This process is called a <span>posterior predictive check<span><body><html>
Original toplevel document (pdf)
owner: shihabdider - (no access) - Doing Bayesian Data Analysis, p24
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