Bayesian statistics provide a powerful tool which can combine different types of information about a problem. In archaeology over the past decade they have become routinely applied for estimating chronologies, where relative dating information from stratigraphy is available to complement series of scientific dates (Bayliss and Bronk Ramsey 2004). Over the past few years, the first steps have been taken to apply these powerful techniques to the dating of standing buildings. This paper provides an introduction to the principles of Bayesian statistics for those with a limited background in mathematics. The equations needed to implement Bayes’ theorem to problems in the real world are scary; the principles are not. By grappling with the princip...
Model updating procedures based on experimental data are commonly used in case of historic buildings...
Bayesian modelling is a widely used, powerful approach for reducing absolute dating uncertainties in...
Archaeologists frequently use probability distributions and null hypothesis significance testing (NH...
Bayesian statistics provide a powerful tool which can combine different types of information about a...
Bayesian statistics provide a methodology for combining information from diverse sources, assuming t...
The crux of Bayesian statistics is Bayes’ theorem. This (deceptively) simple mathematical expression...
The crux of Bayesian statistics is Bayes’ theorem. This (deceptively) simple mathematical expression...
The crux of Bayesian statistics is Bayes’ theorem. This (deceptively) simple mathematical expression...
The crux of Bayesian statistics is Bayes’ theorem. This (deceptively) simple mathematical expression...
The crux of Bayesian statistics is Bayes’ theorem. This (deceptively) simple mathematical expression...
The principles of the Bayesian approach for modelling chronologies has been outlined in Bayliss (thi...
The reliability assessment of heritage structures represents a complex issue beyond traditional asse...
A variety of techniques have been developed to provide scientific chronologies of archaeological sit...
Bayesian mathematics provides a tool for combining radiocarbon dating results on findings from an ar...
The field of archaeology provides a rich source of complex, non-standard problems ideally suited to ...
Model updating procedures based on experimental data are commonly used in case of historic buildings...
Bayesian modelling is a widely used, powerful approach for reducing absolute dating uncertainties in...
Archaeologists frequently use probability distributions and null hypothesis significance testing (NH...
Bayesian statistics provide a powerful tool which can combine different types of information about a...
Bayesian statistics provide a methodology for combining information from diverse sources, assuming t...
The crux of Bayesian statistics is Bayes’ theorem. This (deceptively) simple mathematical expression...
The crux of Bayesian statistics is Bayes’ theorem. This (deceptively) simple mathematical expression...
The crux of Bayesian statistics is Bayes’ theorem. This (deceptively) simple mathematical expression...
The crux of Bayesian statistics is Bayes’ theorem. This (deceptively) simple mathematical expression...
The crux of Bayesian statistics is Bayes’ theorem. This (deceptively) simple mathematical expression...
The principles of the Bayesian approach for modelling chronologies has been outlined in Bayliss (thi...
The reliability assessment of heritage structures represents a complex issue beyond traditional asse...
A variety of techniques have been developed to provide scientific chronologies of archaeological sit...
Bayesian mathematics provides a tool for combining radiocarbon dating results on findings from an ar...
The field of archaeology provides a rich source of complex, non-standard problems ideally suited to ...
Model updating procedures based on experimental data are commonly used in case of historic buildings...
Bayesian modelling is a widely used, powerful approach for reducing absolute dating uncertainties in...
Archaeologists frequently use probability distributions and null hypothesis significance testing (NH...