Repeat the previous exercise for the following prior (again, a form of beta density): [p(r)=left{begin{array}{cc} 3 r^{2}
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Repeat the previous exercise for the following prior (again, a form of beta density):
\[p(r)=\left\{\begin{array}{cc} 3 r^{2} & 0 \leq r \leq 1 \\ 0 & \text { otherwise } \end{array}\right.\]
What are the prior parameters here?
Data from previous exercise
Repeat the previous exercise for the following prior, also a particular form of the beta density:
\[p(r)=\left\{\begin{array}{cl} 2 r & 0 \leq r \leq 1 \\ 0 & \text { otherwise } \end{array}\right.\]
What are the values of the prior parameters \(\alpha\) and \(\beta\) that result in \(p(r)=2 r\) ?
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Related Book For
A First Course In Machine Learning
ISBN: 9781498738484
2nd Edition
Authors: Simon Rogers , Mark Girolam
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