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A probability provides a quantitative description of the likely occurrence of a particular event.
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Could someone please explain why it is called **marginal density** in the context of Bayes' ...
This post calls the P(X) part marginal density in Bayes Rule
\begin{align}
P( A | X ) = & \frac{ P(X | A) P(A) } {P(X) } \\\\[5pt]
\end{align}
Could someone please explain why it is called marginal …
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It seems that page 32 of "MLaPP" is using notation in a confusing way, I made a little bit e...
I guess p denotes probability here.
define $f(x) = \frac{d}{dx} F(x)$ (we assume this derivative exists); this is called the probability
dx
density function or pdf. … Given a pdf, we can compute the probability of a continuous variable being in a finite interval as follows:
${\displaystyle \operatorname {P} (a<X\leq b)=\int _{a}^{b}f(x)\,dx}$
As the size of the …