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# Math Stuff

On observation of $\mathcal{D}$, the *likelihood* of hypothesis
$\mathcal{R}_{\alpha}$ is
$\mathit{P}(\mathcal{D}|\mathcal{R}_{\alpha})$.

## Fingerprint Variance

Additionally, we associate a collective **RSS Variance**
$\sigma_{F_s}$ with each fingerprint, which is a weighed average of
the RSS values of each of the vector elements using $C_i$ as the
weight. It is calculated in this manner:

$$
\sigma_{F_s} = \frac{\sum_{i \in F_s} \sigma_i C_i}
                    {\sum_{i \in F_s} C_i}
$$