This new edition responds to the developments and advances that have taken place in this area over the last few years, and offers the reader a comprehensive, up-to-date overview of Bayesian statistics. Every chapter has been thoroughly revised and updated, as have the exercises at the end of each chapter. Clearly written and offering a wide-ranging introduction to Bayesian statistics, this book will be an essential reference for students, researchers and practitioners in statistics.

The Advanced Theory of Statistics, Vol. 2B: Bayesian Inference

Science & Math

ANTHONY O'HAGAN

JON FORSTER

Mathematics

Hodder Education Publishers

This book is an elementary and practical introduction to probability theory. It differs from other introductory texts in two important respects. First, the per­ sonal (or subjective) view of probability is adopted throughout. Second, emphasis is placed on how values are assigned to probabilities in practice, i.e. the measurement of probabilities. The personal approach to probability is in many ways more natural than other current formulations, and can also provide a broader view of the subject. It thus has a unifying effect. It has also assumed great importance recently because of the growth of Bayesian Statistics. Personal probability is essential for modern Bayesian methods, and it can be difficult for students who have learnt a different view of probability to adapt to Bayesian thinking. This book has been produced in response to that difficulty, to present a thorough introduction to probability from scratch, and entirely in the personal framework.

Probability: Methods and measurement

Chapman & Hall

Probability : Methods and Measurements (Chapman & Hall/CRC Texts in Statistical Science)

Springer

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