Step-by-step explanation of Bayes' theorem for accessible understanding
Illustrates Bayesian applications with practical examples to enhance comprehension
Compares Bayesian and classical statistical inference to highlight methodological differences
Provides a foundation for empirical researchers seeking to apply Bayesian methods
Serves as a companion volume for existing statistical literature
Summarized by Shop
Empirical researchers, for whom Iversen's volume provides an introduction, have generally lacked a grounding in the methodology of Bayesian inference. As a result, applications are few. After outlining the limitations of classical statistical inference, the author proceeds through a simple example to explain Bayes' theorem and how it may