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<p>and<br/>
* ? and ? are parameters of the prior distribution (beta distribution); hence hyperparameters.In principle, priors can be decomposed into many conditional levels of distributions, so-called hierarchical priors.</p>

<p><big> Informative priors </big></p>
<p>An informative prior expresses specific, definite information about a variable.An example is a prior distribution for the temperature at noon tomorrow.A reasonable approach is to make the prior a <a href="page.php?w=normal_distribution">normal distribution</a> with <a href="page.php?w=expected_value">expected value</a></p><p>
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