Bayesian Logical Data Analysis for the Physical Sciences 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

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Phil Gregory 作者

Cambridge University Press

译者

2005-5-23 出版日期

486 页数

USD 92.99 价格

Hardcover

丛书系列

9780521841504 图书编码

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Bayesian Logical Data Analysis for the Physical Sciences 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

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Bayesian inference provides a simple and unified approach to data analysis, allowing experimenters to assign probabilities to competing hypotheses of interest, on the basis of the current state of knowledge. By incorporating relevant prior information, it can sometimes improve model parameter estimates by many orders of magnitude. This book provides a clear exposition of the underlying concepts with many worked examples and problem sets. It also discusses implementation, including an introduction to Markov chain Monte-Carlo integration and linear and nonlinear model fitting. Particularly extensive coverage of spectral analysis (detecting and measuring periodic signals) includes a self-contained introduction to Fourier and discrete Fourier methods. There is a chapter devoted to Bayesian inference with Poisson sampling, and three chapters on frequentist methods help to bridge the gap between the frequentist and Bayesian approaches. Supporting Mathematica(r) notebooks with solutions to selected problems, additional worked examples, and a Mathematica tutorial are available at www.cambridge.org/9780521150125.

Bayesian Logical Data Analysis for the Physical Sciences 在线电子书下载 mobi epub pdf txt 在线电子书下载

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