“Bayesian Computation: a Statistical Revolution”, 2003-11-03 (; backlinks):
The 1990s saw a statistical revolution sparked predominantly by the phenomenal advances in computing technology from the early 1980s onwards. These advances enabled the development of powerful new computational tools, which reignited interest in a philosophy of statistics that had lain almost dormant since the turn of the century.
In this paper we briefly review the historic and philosophical foundations of the 2 schools of statistical thought, before examining the implications of the reascendance of the Bayesian paradigm for both current and future statistical practice.
[Keywords: computer packages [BUGS], Markov chain Monte Carlo, model discrimination, population ecology, prior beliefs, posterior distribution]