Chapter 3
1, and the noise variance ˙2 are all treated as xed (i.e., deterministic) but unknown quantities. Solving for the t: least-squares regression Assuming that this is actually how the data (x 1;y 1);:::;(x n;y n) we observe are generated, then it turns out that we can nd the line for which the probability of the data is highest
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