On the Relevance of the Bayesian Approach to Statistics
In this essay, I argue about the relevance and the ultimate unity of the Bayesian approach in a neutral and agnostic manner. My main theme is that Bayesian data analysis is an effective tool for handling complex models, as proven by the increasing proportion of Bayesian studies in the applied sciences. I thus disregard the philosophical debates on the meaning of probability and on the random nature of parameters as things of the past that ultimately do a disservice to the approach and are irrelevant to most bystanders.
When requesting a correction, please mention this item's handle: RePEc:ren:journl:v:2:y:2010:i:2:p:139-152. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (J. Fernando Reyes)
If references are entirely missing, you can add them using this form.