Bayesian Methods in Cosmology: Frontmatter
Bayesian Methods in Cosmology: Frontmatter
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DOI：
10.1017/cbo9780511802461
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发表时间：
2009-12
期刊：
影响因子：
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通讯作者：
M. Hobson;A. Jaffe;A. Liddle;P. Mukherjee;D. Parkinson
中科院分区：
文献类型：
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作者：
M. Hobson;A. Jaffe;A. Liddle;P. Mukherjee;D. Parkinson
近年来，宇宙学家已经从主要是定性的宇宙模型发展到使用贝叶斯方法的精确建模，以确定宇宙的性质。这本及时的书是唯一全面介绍贝叶斯方法在宇宙学研究中的使用，是宇宙学，天体物理学和应用统计学研究生和研究人员的重要参考。本书的第一部分侧重于方法论，奠定了基本基础，并对技术进行了详细描述。它涵盖的主题包括参数估计，贝叶斯模型比较和信号分离。第二部分探讨了各种应用，从天文源的探测（包括通过引力波）到宇宙微波背景
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