Sujit K. Sahu
January 9, 2003

- The paper
in postscript
or in pdf format.

####
SUMMARY

Statistical methods are now an essential part of the
archaeological inference making process. Nowhere is
this more important than in the analysis and interpretation of
chronological data, especially when information from
several sources must be drawn together. Different
statistical models may, however, provide
widely different interpretations of the same data.
Thus it is often possible to make conflicting
re-constructions of archaeological past using different models.

Bayesian predictive model choice criteria can be used as
possible solutions to this problem. A particular advantage
of Bayesian techniques lies in their ability to compare
widely different models based on different assumptions
and prior information. In this paper, we discuss
recent developments in applying formal model
choice techniques in archaeological chronology building.
We illustrate the methods with two examples one each from
the absolute and the relative chronology building problems.

Back to my page.
S.K.Sahu@maths.soton.ac.uk