Lecture

Theoretical Properties of Linear Regression Estimator

Description

This lecture delves into the theoretical properties of the linear regression estimator, covering topics such as the geometric interpretation, the hat matrix, the Gauss-Markov theorem, and the distributional properties of the estimator in Gaussian conditional models.

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