Coryn A L Bailer-Jones

Practical Bayesian Inference

A Primer for Physical Scientists

• Gebundenes Buch

Produktbeschreibung

This book introduces the major concepts of probability and statistics, along with the necessary computational tools, for undergraduates and graduate students.

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Produktdetails

• Verlag: Cambridge University Press
• Seitenzahl: 304
• Erscheinungstermin: 2. Juni 2017
• Englisch
• Abmessung: 250mm x 175mm x 21mm
• Gewicht: 712g
• ISBN-13: 9781107192119
• ISBN-10: 1107192110
• Artikelnr.: 48498436

Autorenporträt

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 für Astronomie, Heidelberg, where he leads a group working on the analysis of data from the Gaia survey mission. He also teaches statistics and physics at Universität Heidelberg. His main scientific interests are statistical inference, stars and our Galaxy, and the impact of astronomical phenomena on the Earth.

Inhaltsangabe

Preface
1. Probability basics
2. Estimation and uncertainty
3. Statistical models and inference
4. Linear models, least squares, and maximum likelihood
5. Parameter estimation: single parameter
6. Parameter estimation: multiple parameters
7. Approximating distributions
8. Monte Carlo methods for inference
9. Parameter estimation: Markov chain Monte Carlo
10. Frequentist hypothesis testing
11. Model comparison
12. Dealing with more complicated problems
References
Index.