An introductory handbook of Bayesian thinking /
As Bayesian techniques become more common across a variety of fields, it becomes important for experts in those fields to understand those methods. An Introductory Handbook of Bayesian Thinking brings Bayesian thinking and methods to a wide audience beyond the mathematical sciences. Appropriate for...
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| Главный автор: | |
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| Формат: | Электронный ресурс eКнига |
| Язык: | английский |
| Опубликовано: |
[London] :
Academic Press,
[2025]
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| Предметы: | |
| Online-ссылка: | ScienceDirect |
| Метки: |
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| Итог: | As Bayesian techniques become more common across a variety of fields, it becomes important for experts in those fields to understand those methods. An Introductory Handbook of Bayesian Thinking brings Bayesian thinking and methods to a wide audience beyond the mathematical sciences. Appropriate for students with some background in calculus and introductory statistics, particularly for nonstatisticians with a sufficient mathematical background, the text provides a gentle introduction to Bayesian ideas with a wide array of supporting examples from a variety of fields. Utilizes real datasets to illustrate Bayesian models and their results Guides readers on coding Bayesian models using the statistical software R, including a helpful introduction and supporting online resource Appropriate for an undergraduate statistics course, as well as for non-statisticians with sufficient mathematical background (integral and differential Calculus and an introductory Statistics course) Covers any more advanced topics which readers may not be familiar with--such as the basic idea of vectors and matrices--as much as needed in order to foster understanding of core concepts. |
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| Объем: | 1 online resource. |
| ISBN: | 9780443291111 044329111X 0323954596 9780323954594 |