Abstract:Linear regression models are widely used in statistics, machine learning and system identification. They allow to face many important problems, are easy to fit and enjoy simple analytical properties. The simplest method to fit linear regression models is least squares whose systematic treatment is available in many textbooks, e.g., [35, Chap. 4], [12]. Linear regression models can be fitted also in different way and a class of methods that we will consider in this chapter is the so-called regularized least squ… Show more
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