Preface

Bayesian statistics has been around for more than 250 years now. During this time it has enjoyed as much recognition and appreciation as disdain and contempt. Through the last few decades it has gained more and more attention from people in statistics and almost all other sciences, engineering, and even outside the walls of the academic world. This revival has been possible due to theoretical and computational developments. Modern Bayesian statistics is mostly computational statistics. The necessity for flexible and transparent models and a more interpretation of statistical analysis has only contributed to the trend.

Here, we will adopt a pragmatic approach to Bayesian statistics and we will not care too much about other statistical paradigms ...

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