Tutorial Introductions Bayes' Rule: A Tutorial Introduction to Bayesian Analysis, (Paperback)
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Bayes' rule transforms meaningless statistics and raw data into useful information, making it a cornerstone of modern probability theory.
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- What does a medical test tell us about the chances of having a particular disease? How can we tell if a spoken phrase is, 'four candles' or 'fork handles'? How do we a perceive a three-dimensional world from from the two-dimensional images on our retinas? The short answer is Bayes' rule, which transforms meaningless statistics and raw data into useful information. Discovered by an 18th century mathematician and preacher, Bayes' rule is a cornerstone of modern probability theory. In this richly illustrated book, intuitive visual representations of real-world examples are used to show how Bayes' rule is actually a form of commonsense reasoning. The tutorial style of writing, combined with a comprehensive glossary, makes this an ideal primer for novices who wish to gain an intuitive understanding of Bayesian analysis. As an aid to understanding, online computer code (in MatLab, Python and R) reproduces key numerical results and diagrams.
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Textbooks |
| Publication date | March, 2022 |
| Pages | 184 |
| Subgenre | Probability & Statistics |
| Series title | Tutorial Introductions |
| Edition | 1 |
| Publisher | Sebtel Press - NH |
| Original languages | English |
| Language | English |
| Edu focus | Mathematics |
| Is collectible | N |
| Retail packaging | Single Piece |
| Assembled product height | 9 in |
| Assembled product weight | 0.56 lb (250 grams) |
| Bisac subject heading | Mathematics |
Product Description
Tutorial Introductions Bayes' Rule: A Tutorial Introduction to Bayesian Analysis, (Paperback)
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James V Stone All Books Editorial Review
Tutorial Introductions Bayes' Rule: A Tutorial Introduction to Bayesian Analysis is a comprehensive non-fiction textbook published in March 2022 by Sebtel Press - NH. This paperback book, consisting of 184 pages, provides insightful coverage of probability and statistics, aimed primarily at those seeking to enhance their understanding of Bayesian analysis. It belongs to the Tutorial Introductions series and is available in English. Readers will find it to be an essential resource for mastering the principles of Bayes' Rule, making it a valuable addition to any mathematics-focused curriculum.
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Pros
- Written by experienced authors in the field
- Covers essential concepts in Bayesian analysis
- User-friendly format for learners
- Rich in practical examples and applications
- Suitable for both students and practitioners
Cons
- May not cover advanced topics extensively
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Features & Benefits
- Learn the fundamentals of Bayes' rule and its applications.
- Transform raw data into meaningful insights with ease.
- Richly illustrated for intuitive understanding.
- Ideal for novices wanting to grasp Bayesian analysis.
- Includes practical online computer code in MatLab, Python, and R.
- A comprehensive glossary aids in mastering key concepts.
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