Variance of Beta Distribution
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Theorem
Let $X \sim \map \Beta {\alpha, \beta}$ for some $\alpha, \beta > 0$, where $\Beta$ is the Beta distribution.
Then:
- $\var X = \dfrac {\alpha \beta} {\paren {\alpha + \beta}^2 \paren {\alpha + \beta + 1} }$
Proof 1
From the definition of the Beta distribution, $X$ has probability density function:
- $\map {f_X} x = \dfrac {x^{\alpha - 1} \paren {1 - x}^{\beta - 1} } {\map \Beta {\alpha, \beta} }$
From Variance as Expectation of Square minus Square of Expectation:
- $\ds \var X = \int_0^1 x^2 \map {f_X} X \rd x - \paren {\expect X}^2$
So:
\(\ds \var X\) | \(=\) | \(\ds \frac 1 {\map \Beta {\alpha, \beta} } \int_0^1 x^{\alpha + 1} \paren {1 - x}^{\beta - 1} \rd x - \frac {\alpha^2} {\paren {\alpha + \beta}^2}\) | Expectation of Beta Distribution | |||||||||||
\(\ds \) | \(=\) | \(\ds \frac {\map \Beta {\alpha + 2, \beta} } {\map \Beta {\alpha, \beta} } - \frac {\alpha^2} {\paren {\alpha + \beta}^2}\) | Definition 1 of Beta Function | |||||||||||
\(\ds \) | \(=\) | \(\ds \frac {\map \Gamma {\alpha + 2} \, \map \Gamma \beta} {\map \Gamma {\alpha + \beta + 2} } \cdot \frac {\map \Gamma {\alpha + \beta} } {\map \Gamma \alpha \, \map \Gamma \beta} - \frac {\alpha^2} {\paren {\alpha + \beta}^2}\) | Definition 3 of Beta Function | |||||||||||
\(\ds \) | \(=\) | \(\ds \frac {\alpha \paren {\alpha + 1} } {\paren {\alpha + \beta} \paren {\alpha + \beta + 1} } \cdot \frac {\map \Gamma \alpha \, \map \Gamma \beta \, \map \Gamma {\alpha + \beta} } {\map \Gamma \alpha \, \map \Gamma \beta \, \map \Gamma {\alpha + \beta} } - \frac {\alpha^2} {\paren {\alpha + \beta}^2}\) | Gamma Difference Equation | |||||||||||
\(\ds \) | \(=\) | \(\ds \frac {\paren {\alpha^2 + \alpha} \paren {\alpha + \beta} } {\paren {\alpha + \beta}^2 \paren {\alpha + \beta + 1} } - \frac {\alpha^2 \paren {\alpha + \beta + 1} } {\paren {\alpha + \beta}^2 \paren {\alpha + \beta + 1} }\) | ||||||||||||
\(\ds \) | \(=\) | \(\ds \frac {\alpha ^3 + \alpha^2 \beta + \alpha^2 + \alpha \beta - \alpha^3 - \alpha^2 \beta - \alpha^2} {\paren {\alpha + \beta}^2 \paren {\alpha + \beta + 1} }\) | ||||||||||||
\(\ds \) | \(=\) | \(\ds \frac {\alpha \beta} {\paren {\alpha + \beta}^2 \paren {\alpha + \beta + 1} }\) |
$\blacksquare$
Proof 2
From the definition of Variance as Expectation of Square minus Square of Expectation:
- $\var X = \expect {X^2} - \paren {\expect X}^2$
From Expectation of Beta Distribution:
- $\expect X = \dfrac \alpha {\alpha + \beta}$
From Raw Moment of Beta Distribution:
- $\ds \expect {X^n} = \prod_{r \mathop = 0}^{n - 1} \frac {\alpha + r} {\alpha + \beta + r}$
So:
\(\ds \expect {X^2}\) | \(=\) | \(\ds \prod_{r \mathop = 0}^1 \frac {\alpha + r} {\alpha + \beta + r}\) | Raw Moment of Beta Distribution | |||||||||||
\(\ds \) | \(=\) | \(\ds \paren {\frac {\alpha} {\alpha + \beta} } \paren {\frac {\alpha + 1} {\alpha + \beta + 1} }\) |
Therefore:
\(\ds \expect {X^2} - \paren {\expect X}^2\) | \(=\) | \(\ds \paren {\frac {\alpha} {\alpha + \beta} } \paren {\frac {\alpha + 1} {\alpha + \beta + 1} } - \paren {\dfrac \alpha {\alpha + \beta} }^2\) | ||||||||||||
\(\ds \) | \(=\) | \(\ds \paren {\frac {\alpha} {\alpha + \beta} } \paren {\frac {\alpha + 1} {\alpha + \beta + 1} } \paren {\frac {\alpha + \beta} {\alpha + \beta} } - \paren {\dfrac \alpha {\alpha + \beta} }^2 \paren {\frac {\alpha + \beta + 1} {\alpha + \beta + 1} }\) | multiplying by $1$ | |||||||||||
\(\ds \) | \(=\) | \(\ds \frac {\alpha^3 + \alpha^2 \beta + \alpha^2 + \alpha \beta - \alpha^3 - \alpha^2 \beta - \alpha^2} {\paren {\alpha + \beta}^2 \paren {\alpha + \beta + 1} }\) | ||||||||||||
\(\ds \) | \(=\) | \(\ds \frac {\alpha \beta} {\paren {\alpha + \beta}^2 \paren {\alpha + \beta + 1} }\) |
$\blacksquare$