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Bayesian Analysis with Python

You're reading from   Bayesian Analysis with Python A practical guide to probabilistic modeling

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Product type Paperback
Published in Jan 2024
Publisher Packt
ISBN-13 9781805127161
Length 394 pages
Edition 3rd Edition
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Author (1):
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Osvaldo Martin Osvaldo Martin
Author Profile Icon Osvaldo Martin
Osvaldo Martin
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Table of Contents (15) Chapters Close

Preface
1. Chapter 1 Thinking Probabilistically 2. Chapter 2 Programming Probabilistically FREE CHAPTER 3. Chapter 3 Hierarchical Models 4. Chapter 4 Modeling with Lines 5. Chapter 5 Comparing Models 6. Chapter 6 Modeling with Bambi 7. Chapter 7 Mixture Models 8. Chapter 8 Gaussian Processes 9. Chapter 9 Bayesian Additive Regression Trees 10. Chapter 10 Inference Engines 11. Chapter 11 Where to Go Next 12. Bibliography
13. Other Books You May Enjoy
14. Index

6.7 Interactions

An interaction effect, or statistical interaction, happens when the effect of an independent variable on the response changes depending on the value of another independent variable. An interaction can occur between two or more variables. Some examples are:

  • Education level and income impact: Higher education may have a stronger positive effect on income for one gender compared to the other, resulting in an interaction between education and gender.

  • Medication efficacy and age: A drug that works better for older individuals than younger ones.

  • Exercise and diet effects on weight loss: It could be that the diet’s effect on weight loss is small for people who do little or no exercise and large for people who do moderate exercise.

  • Temperature and humidity for crop growth: Some crops could thrive in hot and humid conditions, while others might perform better in cooler and less humid environments.

We have an interaction when the combined effect of two or more variables...

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