Bayesian Statistics for Beginners: a step-by-step approach

Bayesian statistics is a statistical inference method that uses Bayes' theorem to update the probability of a hypothesis as more evidence or information becomes available. It is well-suited to making initial assessments based on incomplete or imperfect information and is widely used across the social, biological, medical, and physical sciences. This book offers a novel and informal perspective with a question and answer approach, accessible language, illustrations, and on-line resources. It is an introductory textbook suitable for senior undergraduate and graduate students, professional researchers, and practitioners.

Format: Paperback / softback
Length: 432 pages
Publication date: 29 May 2019
Publisher: Oxford University Press

Bayesian statistics is experiencing a remarkable resurgence, driven by the power of statistical inference utilizing Bayes' theorem. At its core, this approach involves continuously updating the probability of a hypothesis as additional evidence or information becomes available. It thrives in making initial assessments with incomplete or imperfect information, as the Bayesian approach adapts and evolves by correcting assumptions and recalibrating decision-making to generate new sets of probabilities. With the influx of new data/evidence, the likelihood of a particular hypothesis can be progressively refined and revised, ensuring an ever-evolving understanding of the underlying phenomena.

This book offers a unique and approachable perspective, employing a question-and-answer format that utilizes accessible language, humor, ample illustrations, and frequent references to online resources. Designed as an introductory textbook, Bayesian Statistics for Beginners caters to senior undergraduate and graduate students, professional researchers, and practitioners seeking to enhance their grasp of Bayesian statistical techniques commonly employed in data analysis across various fields, including life and medical sciences, psychology, public health, business, and more.

By adopting a Bayesian approach, researchers can harness the full potential of data, leveraging the wealth of information available to make informed decisions and draw meaningful conclusions. This approach not only provides a rigorous framework for statistical inference but also fosters a deeper understanding of the underlying principles and assumptions, enabling researchers to critically evaluate their results and make evidence-based judgments.

In conclusion, Bayesian statistics is undergoing a renaissance, offering a powerful and adaptable method for statistical inference. With its unique pedagogy, this book provides an invaluable resource for beginners and practitioners alike, empowering them to navigate the complexities of data analysis and make informed decisions based on rigorous evidence. As the field continues to evolve, Bayesian statistics will undoubtedly play a pivotal role in advancing our understanding of the world and driving innovation across diverse industries.

Weight: 912g
Dimension: 190 x 246 x 21 (mm)
ISBN-13: 9780198841302