These notes cover several topics such as Review of Statistics, Least Squares and Maximum Likelihood Estimation, Index Models, Testing CAPM and Multifactor Models
Event Studies, Ti...
8 The training of some types of neural networks leads to separable non-linear least squares problems. These problems may be9 ill-conditioned and require special techniques. A robus...
Motivated by the problem of customer wallet estimation, we propose a new setting for multi-view regression, where we learn a completely unobserved target (in our case, customer wa...
The recently presented recursive least squares dictionary learning algorithm (RLS-DLA) is tested in a general image compression application. Dictionaries are learned in the pixel ...
While higher order ambisonic approaches can be used to generate multiple zone soundfields, this paper adopts a Least Squares matching approach which provides a more flexible formu...