Bayesian Linear Regression

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With a Gaussian prior $w \sim \mathcal N(0, \alpha^{-1} I)$ and noise precision $\beta$ , the posterior over weights is Gaussian:

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solution.py · Python 3.13

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Bayesian Linear Regression · TechGradify