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ben18785
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Yes, I'm being stupid (no shock there!). There is a work around since things are Gaussian. If $z\sim \mathcal{N}(\mu, \sigma)$ and $z\sim \mathcal{N}(\mu, \sigma)$$x\sim \mathcal{N}(\mu, \sigma)$, then $x-z \sim \mathcal{N}(0, \sqrt{2} \sigma)$. Then the result follows easily,

$Pr(|x-z|<a) = \text{Erf}(a/(2 \sigma))$.

Yes, I'm being stupid (no shock there!). There is a work around since things are Gaussian. If $z\sim \mathcal{N}(\mu, \sigma)$ and $z\sim \mathcal{N}(\mu, \sigma)$, then $x-z \sim \mathcal{N}(0, \sqrt{2} \sigma)$. Then the result follows easily,

$Pr(|x-z|<a) = \text{Erf}(a/(2 \sigma))$.

Yes, I'm being stupid (no shock there!). There is a work around since things are Gaussian. If $z\sim \mathcal{N}(\mu, \sigma)$ and $x\sim \mathcal{N}(\mu, \sigma)$, then $x-z \sim \mathcal{N}(0, \sqrt{2} \sigma)$. Then the result follows easily,

$Pr(|x-z|<a) = \text{Erf}(a/(2 \sigma))$.

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ben18785
  • 3.2k
  • 16
  • 29

Yes, I'm being stupid (no shock there!). There is a work around since things are Gaussian. If $z\sim \mathcal{N}(\mu, \sigma)$ and $z\sim \mathcal{N}(\mu, \sigma)$, then $x-z \sim \mathcal{N}(0, \sqrt{2} \sigma)$. Then the result follows easily,

$Pr(|x-z|<a) = \text{Erf}(a/(2 \sigma))$.