Bayesian computation: a statistical revolution

被引:54
作者
Brooks, SP [1 ]
机构
[1] Univ Cambridge, Stat Lab, Ctr Math Sci, Cambridge CB3 0WB, England
来源
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY OF LONDON SERIES A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES | 2003年 / 361卷 / 1813期
关键词
computer packages; Markov chain Monte Carlo; model discrimination; population ecology; prior beliefs; posterior distribution;
D O I
10.1098/rsta.2003.1263
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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 two schools of statistical thought, before examining the implications of the reascendance of the Bayesian paradigm for both current and future statistical practice.
引用
收藏
页码:2681 / 2697
页数:17
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