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@jemoka / Jemoka Knowledge Base / raw/concept/kbhconjugate_prior.md
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--- title: "conjugate prior" source: https://www.jemoka.com/posts/kbhconjugate_prior/ --- A conjugate prior of a certain likelihood function \(p\qty(x | \theta)\) is a type of prior where the posterior distribution— \begin{equation} p\qty(\theta | x) \end{equation} is the same probability family as the prior \(p\qty(\theta)\). This means that updating is very easy; if we can’t do this, probabilistic programming!