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Data analysis a Bayesian tutorial

Focusing on Bayesian methods and maximum entropy, this book shows how a few fundamental rules can be used to tackle a variety of problems in data analysis. Topics covered include reliability analysis, multivariate optimisation, least-squares and maximum likelihood, and more.

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  • "Statistics lectures have been a source of much bewilderment and frustration for generations of students. This book attempts to remedy the situation by expounding a logical and unified approach to the whole subject of data analysis. This text is intended as a tutorial guide for senior undergraduates and research students in science and engineering. After explaining the basic principles of Bayesian probability theory, their use is illustrated with a variety of examples ranging from elementary parameter estimation to image processing. Other topics covered include reliability analysis, multivariate optimization, least-squares and maximum likelihood, error-propagation, hypothesis testing, maximum entropy and experimental design. The Second Edition of this successful tutorial book contains a new chapter on extensions to the ubiquitous least-squares procedure, allowing for the straightforward handling of outliers and unknown correlated noise, and a cutting-edge contribution from John Skilling on a novel numerical technique for Bayesian computation called 'nested sampling'."
  • "One of the strengths of this book is the author's ability to motivate the use of Bayesian methods through simple yet effective examples. - Katie St. Clair MAA Reviews."
  • "Focusing on Bayesian methods and maximum entropy, this book shows how a few fundamental rules can be used to tackle a variety of problems in data analysis. Topics covered include reliability analysis, multivariate optimisation, least-squares and maximum likelihood, and more."
  • "Focusing on Bayesian methods and maximum entropy, this book shows how a few fundamental rules can be used to tackle a variety of problems in data analysis. Topics covered include reliability analysis, multivariate optimisation, least-squares and maximum likelihood, and more."@en
  • "This work, on the maximum entropy and Bayesian methods, is aimed at senior undergraduates in science and engineering. It takes the mystery out of statistics by showing how a few fundamental rules can be used to tackle a wide variety of problems in data ana."@en

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  • "Electronic books"
  • "Electronic books"@en
  • "Livre électronique (Descripteur de forme)"
  • "Ressource Internet (Descripteur de forme)"
  • "Ressources Internet"

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  • "Data analysis a Bayesian tutorial"
  • "Data analysis a Bayesian tutorial"@en
  • "Data analysis : a Bayesian tutorial"
  • "Data analysis : a Bayesian tutorial"@en
  • "Data Analysis : A Bayesian Tutorial"
  • "Data analysis : a bayesian tutorial"
  • "Data analysis : A Bayesian Tutorial"
  • "Data analysis : a Bayesian tutorial ; [for scientists and engineers]"
  • "Data analysis"
  • "Data Analysis A Bayesian Tutorial"
  • "Data Analysis: A Bayesian Tutorial"

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