The growth of Bayesian methods in statistics and economics since 1970

19Citations
Citations of this article
44Readers
Mendeley users who have this article in their library.

Abstract

To measure the impact of Bayesian reasoning, this paper investigates the occurrence of two words, "Bayes" and "Bayesian," since 1970 in journal articles in a variety of disciplines, with a focus on economics and statistics. The growth in statistics is documented, but the growth in economics is largely confined to economic theory/mathematical economics rather than econometrics. © 2006 International Society for Bayesian Analysis.

Author supplied keywords

References Powered by Scopus

Short communications: A report from the battlefront

7Citations
N/AReaders
Get full text

A return to the battlefront

3Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Bayesian cognitive modeling: A practical course

1904Citations
N/AReaders
Get full text

HDDM: Hierarchical bayesian estimation of the drift-diffusion model in Python

678Citations
N/AReaders
Get full text

An Introduction to Bayesian Hypothesis Testing for Management Research

247Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Poirier, D. J. (2006). The growth of Bayesian methods in statistics and economics since 1970. Bayesian Analysis, 1(4), 969–980. https://doi.org/10.1214/06-BA132

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 15

43%

Professor / Associate Prof. 12

34%

Researcher 6

17%

Lecturer / Post doc 2

6%

Readers' Discipline

Tooltip

Psychology 8

40%

Agricultural and Biological Sciences 4

20%

Economics, Econometrics and Finance 4

20%

Mathematics 4

20%

Save time finding and organizing research with Mendeley

Sign up for free