Discovered by an 18th century mathematician and preacher, 
    Bayes’ rule is a cornerstone of modern probability theory. 
    In this richly illustrated book, a range of accessible examples 
    is used to show how Bayes’ rule is actually a natural
    consequence of commonsense reasoning. Bayes’ rule is then derived using
    intuitive graphical representations of probability, and Bayesian analysis is applied
    to parameter estimation using the MatLab programs provided. The tutorial style
    of writing, combined with a comprehensive glossary, makes this an ideal primer
    for novices who wish to become familiar with the basic principles of Bayesian analysis.