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Tags
#bayes #programming #r #statistics
Question
The distribution of credibility initially reflects [...], which can be quite vague. Then new data are observed, and the credibility is re-allocated. Possibilities that are consistent with the data garner more credibility, while possibilities that are not consistent with the data lose credibility.
Answer
prior knowledge about the possibilities

Tags
#bayes #programming #r #statistics
Question
The distribution of credibility initially reflects [...], which can be quite vague. Then new data are observed, and the credibility is re-allocated. Possibilities that are consistent with the data garner more credibility, while possibilities that are not consistent with the data lose credibility.
Answer
?

Tags
#bayes #programming #r #statistics
Question
The distribution of credibility initially reflects [...], which can be quite vague. Then new data are observed, and the credibility is re-allocated. Possibilities that are consistent with the data garner more credibility, while possibilities that are not consistent with the data lose credibility.
Answer
prior knowledge about the possibilities
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The distribution of credibility initially reflects prior knowledge about the possibilities, which can be quite vague. Then new data are observed, and the credibility is re-allocated. Possibilities that are consistent with the data garner more credibility, while possibilities

Original toplevel document (pdf)

owner: shihabdider - (no access) - Doing Bayesian Data Analysis, p24

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statusnot learnedmeasured difficulty37% [default]last interval [days]               
repetition number in this series0memorised on               scheduled repetition               
scheduled repetition interval               last repetition or drill

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