Bayesian Methods in Cosmology
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"Bayesian Methods in Cosmology" by Michael P. Hobson, Andrew H. Jaffe, Andrew R. Liddle, Pia Mukherjee, David Parkinson is a astronomy book and space science reference focused on Deep Sky & Solar System. Best for students, researchers, and serious astronomy enthusiasts.
In recent years cosmologists have advanced from largely qualitative models of the Universe to precision modelling using Bayesian methods, in order to determine the properties of the Universe to high accuracy. This timely book is the only comprehensive introduction to the use of Bayesian methods in cosmological studies, and is an essential reference for graduate students and researchers in cosmology, astrophysics and applied statistics. The first part of the book focuses on methodology, setting the basic foundations and giving a detailed description of techniques. It covers topics including the estimation of parameters, Bayesian model comparison, and separation of signals. The second part explores a diverse range of applications, from the detection of astronomical sources (including through gravitational waves), to cosmic microwave background analysis and the quantification and classification of galaxy properties. Contributions from 24 highly regarded cosmologists and statisticians make this an authoritative guide to the subject.
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"Bayesian Methods in Cosmology" by Michael P. Hobson, Andrew H. Jaffe, Andrew R. Liddle, Pia Mukherjee, David Parkinson is a astronomy book and space science reference focused on Deep Sky & Solar System. Best for students, researchers, and serious astronomy enthusiasts.
Topic: Deep Sky & Solar System
Author: Michael P. Hobson, Andrew H. Jaffe, Andrew R. Liddle, Pia Mukherjee, David Parkinson
Who this is for:
- Astronomy students
- Researchers and advanced hobbyists
- Readers exploring space science topics
Why this book matters: It matters because it helps readers build a stronger understanding of astronomy concepts, observations, and scientific ideas related to space.
In recent years cosmologists have advanced from largely qualitative models of the Universe to precision modelling using Bayesian methods, in order to determine the properties of the Universe to high accuracy. This timely book is the only comprehensive introduction to the use of Bayesian methods in cosmological studies, and is an essential reference for graduate students and researchers in cosmology, astrophysics and applied statistics. The first part of the book focuses on methodology, setting the basic foundations and giving a detailed description of techniques. It covers topics including the estimation of parameters, Bayesian model comparison, and separation of signals. The second part explores a diverse range of applications, from the detection of astronomical sources (including through gravitational waves), to cosmic microwave background analysis and the quantification and classification of galaxy properties. Contributions from 24 highly regarded cosmologists and statisticians make this an authoritative guide to the subject.
| Author | Michael P. Hobson, Andrew H. Jaffe, Andrew R. Liddle, Pia Mukherjee, David Parkinson |
| Publisher | Cambridge University Press |
| Published | 2014-02-20 |
| ISBN-13 | 9781107631755 |
| Binding | Paperback |
| Language | English |
| Subjects | Science |
| Topic | Deep Sky & Solar System |
Format: Paperback
Language: English
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