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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 FREE CHAPTER 2. Chapter 2 Programming Probabilistically 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

3.2 Hierarchical shifts

Proteins are molecules formed by 20 units called amino acids. Each amino acid can appear in a protein 0 or more times. Just as a melody is defined by a sequence of musical notes, a protein is defined by a sequence of amino acids. Some musical note variations can result in small variations of the melody and other variations in completely different melodies. Something similar happens with proteins. One way to study proteins is by using nuclear magnetic resonance (the same technique used for medical imaging). This technique allows us to measure various quantities, one of which is called a chemical shift. You may remember that we saw an example using chemical shifts in Chapter 2.

Suppose we want to compare a theoretical method of computing chemical shift against the experimental observations to evaluate the ability of the theoretical method to reproduce the experimental values. Luckily for us, someone has already run the experiments and carried out the theoretical...

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