Literature DB >> 14667292

Bayesian computation: a statistical revolution.

Stephen P Brooks1.   

Abstract

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.

Year:  2003        PMID: 14667292     DOI: 10.1098/rsta.2003.1263

Source DB:  PubMed          Journal:  Philos Trans A Math Phys Eng Sci        ISSN: 1364-503X            Impact factor:   4.226


  4 in total

1.  The Bayesian New Statistics: Hypothesis testing, estimation, meta-analysis, and power analysis from a Bayesian perspective.

Authors:  John K Kruschke; Torrin M Liddell
Journal:  Psychon Bull Rev       Date:  2018-02

2.  Polymorphic and Covalent Transformations of Gabapentin in Binary Excipient Mixtures after Milling-Induced Stress.

Authors:  Radaduen Tinmanee; Stephen D Stamatis; Eji Ueyama; Kenneth R Morris; Lee E Kirsch
Journal:  Pharm Res       Date:  2018-02-01       Impact factor: 4.200

3.  Eu-social science: the role of internet social networks in the collection of bee biodiversity data.

Authors:  Richard Stafford; Adam G Hart; Laura Collins; Claire L Kirkhope; Rachel L Williams; Samuel G Rees; Jane R Lloyd; Anne E Goodenough
Journal:  PLoS One       Date:  2010-12-17       Impact factor: 3.240

4.  Primates decline rapidly in unprotected forests: evidence from a monitoring program with data constraints.

Authors:  Francesco Rovero; Arafat Mtui; Amani Kitegile; Philipo Jacob; Alessandro Araldi; Simone Tenan
Journal:  PLoS One       Date:  2015-02-25       Impact factor: 3.240

  4 in total

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