Bayesian ockham’s razor and nested models

Economics and Philosophy 35 (2):321-338 (2019)
  Copy   BIBTEX

Abstract

:While Bayesian methods are widely used in economics and finance, the foundations of this approach remain controversial. In the contemporary statistical literature Bayesian Ockham’s razor refers to the observation that the Bayesian approach to scientific inference will automatically assign greater likelihood to a simpler hypothesis if the data are compatible with both a simpler and a more complex hypothesis. In this paper I will discuss a problem that results when Bayesian Ockham’s razor is applied to nested economic models. I will argue that previous responses to the problem found in the philosophical literature are unsatisfactory and develop a novel reply to the problem.

Other Versions

No versions found

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 101,551

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

Analytics

Added to PP
2022-11-21

Downloads
19 (#1,079,394)

6 months
9 (#495,347)

Historical graph of downloads
How can I increase my downloads?

Author's Profile

Bengt Autzen
University College, Cork

Citations of this work

Putting inference to the best explanation into context.Leah Henderson - 2022 - Studies in History and Philosophy of Science Part A 94 (C):167-176.

Add more citations