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Practical Bayesian Inference: A Primer for Physical Scientists
Coryn A. L. Bailer-Jones
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Description for Practical Bayesian Inference: A Primer for Physical Scientists
paperback. This book introduces the major concepts of probability and statistics, along with the necessary computational tools, for undergraduates and graduate students. Num Pages: 320 pages, 85 b/w illus. 6 tables. BIC Classification: PHV. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 247 x 174. .
Science is fundamentally about learning from data, and doing so in the presence of uncertainty. This volume is an introduction to the major concepts of probability and statistics, and the computational tools for analysing and interpreting data. It describes the Bayesian approach, and explains how this can be used to fit and compare models in a range of problems. Topics covered include regression, parameter estimation, model assessment, and Monte Carlo methods, as well as widely used classical methods such as regularization and hypothesis testing. The emphasis throughout is on the principles, the unifying probabilistic approach, and showing how the methods ... Read more
Science is fundamentally about learning from data, and doing so in the presence of uncertainty. This volume is an introduction to the major concepts of probability and statistics, and the computational tools for analysing and interpreting data. It describes the Bayesian approach, and explains how this can be used to fit and compare models in a range of problems. Topics covered include regression, parameter estimation, model assessment, and Monte Carlo methods, as well as widely used classical methods such as regularization and hypothesis testing. The emphasis throughout is on the principles, the unifying probabilistic approach, and showing how the methods ... Read more
Product Details
Publisher
Cambridge University Press
Format
Paperback
Publication date
2017
Condition
New
Weight
28g
Number of Pages
320
Place of Publication
Cambridge, United Kingdom
ISBN
9781316642214
SKU
V9781316642214
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-16
About Coryn A. L. Bailer-Jones
Coryn A. L. Bailer-Jones was educated at the University of Oxford and the University of Cambridge. He has worked on modelling the processing of metals and has done research into the properties of low mass stars and brown dwarfs. He is a senior staff member at the Max-Planck-Institut fur Astronomie, Heidelberg, where he leads a group working on the analysis ... Read more
Reviews for Practical Bayesian Inference: A Primer for Physical Scientists
'Coryn Bailer-Jones provides a coherent introduction to the most important modern statistical methods and computational tools for analysing data. His writing style is easy to follow, without the burden of formal proofs and complex derivations, but with sufficient mathematical rigour. This book could be used as an excellent textbook for a semester-long course aimed at undergraduate and graduate students of ... Read more