Practical Bayesian inference

Practical Bayesian inference: a primer for physical scientists

by Bailer-Jones, Coryn A. L.

Type Book
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"Science is fundamentally about learning from data, and doing so in the presence of uncertainty. Uncertainty arises inevitably and avoidably in many guises. It comes from noise in our measurements: we cannot measure exactly. It comes from sampling effects: we cannot measure everything. It comes from complexity: data may be numerous, high dimensional, and correlated, making it difficult to see structures. This book is an introduction to statistical methods for analysing data. It presents the maj…

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Title Statements

  • Full title :Practical Bayesian inference : a primer for physical scientists / Coryn A.L. Bailer-Jones, Max-Planck-Institute for Astronomy, Heidelberg.

Summary

"Science is fundamentally about learning from data, and doing so in the presence of uncertainty. Uncertainty arises inevitably and avoidably in many guises. It comes from noise in our measurements: we cannot measure exactly. It comes from sampling effects: we cannot measure everything. It comes from complexity: data may be numerous, high dimensional, and correlated, making it difficult to see structures. This book is an introduction to statistical methods for analysing data. It presents the major concepts of probability and statistics as well as the computational tools we need to extract meaning from data in the presence of uncertainty" ...

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Edition Statements

  • Publication Date:©2017

Publication Statements

The Physical Object

  • Description:ix, 295 Seiten : : Illustrationen, Diagramme

Edition Identifiers

  • ISBN:9781107192119, 1107192110, 9781316642214, 1316642216
  • oclc:on1005928243
  • LC Classification:QC20.7.B38
  • Dewey Decimal:519.5/42

Writers

Bailer-Jones, Coryn A. L.

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