typo
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@@ -801,7 +801,7 @@ y_i\sim \mathcal{N}(\bm{X}_{i,*}\bm{\beta}, \sigma^2)=\frac{1}{\sqrt{2\pi\sigma^
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!et
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!split
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===== Independent and Identically Distrubuted (iid) =====
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===== Independent and Identically Distributed (iid) =====
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We assume now that the various $y_i$ values are stochastically distributed according to the above Gaussian distribution.
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We define this distribution as
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