Loftus S An Introductory Handbook of Bayesian Thinking 2024
General:
Name: Loftus S An Introductory Handbook of Bayesian Thinking 2024
Format: pdf
Size: 13.71 MB
Book:
Title: Front Matter
Author: Stephen C. Loftus
Language: angielski
Year: 2024
Subjects: Science & Technology, Mathematics, Probability Theory, Statistics
Publisher: Elsevier Science & Technology Books
ISBN: 9780443291111
Total pages: 296
Description:
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
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