On the relevance of the Bayesian approach to Statistics
Abstract
We argue here about the relevance and the ultimate unity of the Bayesian approach in a neutral and agnostic manner. Our 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. We disregard in this essay the philosophical debates on the deeper meaning of probability and on the random nature of parameters as things of the past that do a disservice to the approach and are incomprehensible to most bystanders.
Keywords
Cite
@article{arxiv.0909.5369,
title = {On the relevance of the Bayesian approach to Statistics},
author = {Christian P. Robert},
journal= {arXiv preprint arXiv:0909.5369},
year = {2010}
}
Comments
This paper is written in conjunction with the 3rd Bayesian econometrics meeting that took place at the Rimini Centre for Economic Analysis on July 01-02, 2009. A version will eventually be published in the Review of Economic Analysis