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An Introductory Handbook of Bayesian Thinking
Stephen C. Loftus
出版
Elsevier
, 2024-04-17
主題
Mathematics / Probability & Statistics / General
ISBN
044329111X
9780443291111
URL
http://books.google.com.hk/books?id=iukCEQAAQBAJ&hl=&source=gbs_api
EBook
SAMPLE
註釋
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