I welcome enquiries from potential Ph D students in any of the above areas, or in related topics.
Bayesian statistics provide a way of combining different types of information about chronology, to calculate explicit, statistical estimates for the dates of past events.
A user-friendly interface is proposed for entering the data, MCMC calculations can be inspected in details, models and results are presented using the Bayesian statistical framework.
Bayesian statistics archaeological dating
More recent projects have examined migration of Crusaders and their horses, and diet and migration in the Dutch middle Neolithic.
Ph D topics in this area that I have supervised include the application of isotope techniques to investigate the diet and migration of 18th-19th century populations, the link between diet and DISH (a disease of the skeleton), comparing the diets of Christians and Muslims in medieval Spain, and the migration of the animals hunted by Upper Palaeolithic humans.
For one sample, this is a reasonable assumption; but as soon as we wish to calibrate a second measurement from a site, this assumption is no longer valid (if our first sample is of Iron Age date, then it is much more likely that subsequent samples from the same site will also be Iron Age). The radiocarbon dates on this graph have in reality been simulated from known points on the calendar scale.
Our radiocarbon measurements are from the same site – they are related. Consider these radiocarbon dates – when did Site A (upper) start and end? So, we know that Site A was in use from 2000 to 1800 BC (for 200 years), and that Site B was in use from 1925 to 1885 BC (for 40 years).
This has been applied to a major re-evaluation of the dating evidence for hominid fossils in the timeframe 500,000 to 50,000 years ago.