Hi guys,

I am trying to follow derivation 5.73 → 5.76 on Baysian linear regression.

Starting from the Book:

p(\omega|X, y) \propto exp\left(-\frac{1}{2}(y-Xw)^T(y-Xw)\right)\cdot exp\left(-\frac{1}{2}(\omega - \mu_0)^T\Lambda_0^{-1}(\omega-\mu_0)\right)

I expand to get this:

\propto exp\left(-\frac{1}{2}\left(\underline{-y^TX\omega-X^T\omega^Ty}+X^T\omega^TX\omega + \omega^T\Lambda_0^{-1}\omega - \underline{\mu_0^T\Lambda_0^{-1}\omega-\omega^T\Lambda_0^{-1}\mu_0}\right)\right)

But now the underlined terms are supposed to be

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