
Journal established by:
Mauro Cristofani and Riccardo Francovich
Editor:
Paola Moscati
Authors  Cowgill, G.L.   

Title  Getting Bayesian ideas across to a wide audience  
Volume  Archeologia e Calcolatori n. XIII  2002  
In  Djindjian F., Moscati P. (eds.) XIV UISPP Congress (Liège  Belgium 2001). Proceedings of Commission IV Symposia. Data Management and Mathematical Methods in Archaeology  
Pages  pp. 191196  
URL  http://www.archcalc.cnr.it/indice/PDF13/13Cowgill.pdf  
Publisher  Edizioni All'Insegna del Giglio  
Subject  Statistics  
Subject  Theoretical and methodological problems  
Abstract  A generally Bayesian attitude toward statistical inference seems to me so obviously superior to the “classical” NeymanPearson approach that it is difficult to comprehend why not everyone agrees. I believe that most nonstatisticians learn classical procedures ritualistically but then interpret their results in naively Bayesian ways. It would be better if they became more sophisticated and knowing Bayesians. A truly introductory text on the logic of Bayesian inference, with some simple but useful applications, would probably help. Bayesian inference with an uninformative prior may yield the same results as classical inference, but with coherent rather than muddled logic. An example of a very useful but mathematically simple archaeological application of an informative prior is using prior information to improve estimates of true proportions of artifact categories in populations represented by small collections. However, a complication arises when the observed proportion in a fairly large sample is well outside the range considered at all likely for the relevant population, based on prior information. In this case, straightforward use of a beta prior distribution can yield results that seem unreasonable. Possibly our prior information is better represented by a modified beta distribution with “heavy” tails. Advice about this problem would be appreciated.  
Language  ENG  Type  Text 
Software ISMA  
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