Category: bulb-io
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Relating Gain and Crowding in the Diagonal Model
When we linearized the diagonal model we determined the gains relative to unity as $$ \bdelta = (\GG^T \GG + \lambda \II)^{-1} \GG^T \rr,$$ where $\rr$ is the vectorized residual $\SS – \XX^T \XX$. We’d like to not just report these numbers, but explain them. Complexity in the explanation derives from the correlations in the…
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Linearizing the Covariance Loss for the Free Model
I linearize the covariance for the Free model, and find that I need to include an additional diagonal component.