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.
