Bayesian Inference : Parameter Estimation and Decisions

Resource Information

The work Bayesian Inference : Parameter Estimation and Decisions represents a distinct intellectual or artistic creation found in University of Liverpool. This resource is a combination of several types including: Work, Language Material, Books.

Label

Bayesian Inference : Parameter Estimation and Decisions

Title remainder

Parameter Estimation and Decisions

Statement of responsibility

by Hanns L. Harney

Creator

• Harney, Hanns L

Subject

• Mathematical statistics
• Physics
• Computer science -- Mathematics
• Quantum theory

Language

eng

Summary

The book provides a generalization of Gaussian error intervals to situations where the data follow non-Gaussian distributions. This usually occurs in frontier science, where the observed parameter is just above background or the histogram of multiparametric data contains empty bins. Then the validity of a theory cannot be decided by the chi-squared-criterion, but this long-standing problem is solved here. The book is based on Bayes' theorem, symmetry and differential geometry. In addition to solutions of practical problems, the text provides an epistemic insight: The logic of quantum mechanics is obtained as the logic of unbiased inference from counting data. However, no knowledge of quantum mechanics is required. The text, examples and exercises are written at an introductory level

Member of

• Advanced texts in physics
• Online access with purchase: Springer

Cataloging source

AU@

Dewey number

621.3

Index

no index present

LC call number

• QA76.889
• TK7874.887

Literary form

non fiction

Nature of contents

dictionaries

Series statement

Advanced Texts in Physics,