Bayesian Approach to Intrepreting

This book explores the processes through which archaeologists analyze data and describes how these techniques can be made more rigorous and effective by sound statistical modelling. It introduces and analyzes the ideas underlying the Bayesian approach to the statistical analysis of data and provides an examination of the theoretical and practical consequences of the use of Bayesian analysis in examining problems in archaeology.

Caitlin E. Buck is a British archaeologist and statistician specialising the application of Bayesian statistics to archaeology, and known for her work in radiocarbon dating. She is a professor in the Department of Mathematics and Statistics at the University of Sheffield.

William G. Cavanagh is the author of Bayesian Approach to Intrepreting Archaeological Data, published by Wiley.

Cliff D. Litton is the author of Bayesian Approach to Intrepreting Archaeological Data, published by Wiley.

The Bayesian Approach to Statistical Archaeology.

Outline of the Approach.

Modelling in Archaeology.

Quantifying Uncertainty: The Probability Concept.

Statistical Modelling.

Bivariate and Multivariate Distributions.

Bayesian Inference.

Implementation Issues.

Interpretation of Radiocarbon Results.

Spatial Analysis.

Sourcing and Provenancing.

Application to Other Dating Methods.

The Way Forward.

References.

Index.

What is included with this book?

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Bayesian Approach to Intrepreting Archaeological Data

Summary

Author Biography

Table of Contents

Supplemental Materials