# Other topics

## Introduction

This part of the book explores some other topics that are too advanced to be covered in Part I and that do not quite fit in Part III. These include generalized linear models (23 Beyond OLS) extreme values and sensitivity analysis (24 Extreme values and sensitivity analysis), matching (25 Matching), and a chapter on prediction that also introduces machine learning approaches (26 Prediction).

The material in each of these chapters is largely independent of that in the others in this section. Material in 23 Beyond OLS, 24 Extreme values and sensitivity analysis, and 25 Matching does build on ideas in Part III to some extent, but likely could be covered before Part III.

The material in 26 Prediction is fairly discrete and could be tackled by students with the level of understanding provided by the first few chapters of Part I.