Lecture

Hypothesis Testing and Non-Parametric Regression

Description

This lecture by the instructor covers worked examples related to hypothesis testing, non-parametric regression, and general linear models. The examples include testing quadratic effects, handling separable data, and estimating unknown functions using modulators and wavelets.

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