Bayesian Nonparametrics: Principles and Practice

TL;DR

This preface introduces Bayesian nonparametrics, explaining its importance, history, and future challenges, serving as an overview for the related book and guiding newcomers in understanding and applying the field.

Contribution

It provides an accessible overview of Bayesian nonparametrics, its principles, history, and future directions, serving as an introductory guide for new researchers.

Findings

Highlights the importance of Bayesian nonparametrics in modern statistics

Provides historical context and development of the field

Discusses future challenges and research directions

Abstract

This extended preface [to the Book `Bayesian Nonparametrics', Cambridge University Press, 2010, by NL Hjort, CC Holmes, P Mueller, SG Walker] is meant to explain why you are right to be curious about Bayesian nonparametrics -- why you may actually need it and how you can manage to understand it and use it. The preface also serves as an introductory chapter, giving an overview of the aims and contents of the book. We also explain the background for how the book came into existence, delve briefly on the history of the still relatively young field of Bayesian nonparametrics, and offer some concluding remarks, pertaining to various challenges and likely future developments of the area.