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P/norm-margjoint.md
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[follows a univariate normal distribution](/P/bvn-lincomb):
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$$ \label{eq:bvn-lincomb}
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-Z \sim \mathcal{N}\left( a \mu_1 + b \mu_2, a^2 \sigma_1^2 + 2 a b \sigma_{12} + b^2 + \sigma_2^2 \right) \; .
+Z \sim \mathcal{N}\left( a \mu_1 + b \mu_2, a^2 \sigma_1^2 + 2 a b \sigma_{12} + b^2 \sigma_2^2 \right) \; .
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$$
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Consider the sum of $X$ and $Y$ defined by \eqref{eq:X-Y}:
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