An evaluation of Bayesian age estimation using the auricular surface in modern Greek material.

Pelvic morphology is highly reflective of both sex and age changes in humans, making it a popular research focus in forensic anthropology. Relevant studies range from traditional descriptive to more complicated approaches involving statistical modeling, with the latter having become excessively popular in the last decades. The present study examines the performance of Bayesian statistics in age estimation based on the morphological changes observed on the iliac auricular surface. The aim is two-fold: a) to test whether a Bayesian approach can improve age-at-death estimation compared to the original Lovejoy et al. (1985a) and Buckberry and Chamberlain (2002) methods, and b) to explore the impact of adopting different samples as informative priors as well as for obtaining the transition analysis parameters. For this purpose, two modern Greek documented collections have been used, the Athens and the Cretan Collection. Our results found no clear improvement in age prediction when adopting Bayesian age estimation, with only one exception: Athenian males for the Buckberry and Chamberlain (2002) method. The choice of samples for transition analysis and as informative priors affected the results but this effect was statistically non-significant.