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Linear Regression Beyond Covariance: Latent Slope Spectra from Higher-Order Cumulants
Least squares summarizes the joint distribution of a response and regressor through second-order information. When an observed regressor is composed of latent components carrying different relationships with the response, this summary can average over distinct linear effects. We study the additional
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