Bayes not Bust! Why Simplicity is no Problem for Bayesians1

@article{Dowe2007BayesNB,
  title={Bayes not Bust! Why Simplicity is no Problem for Bayesians1},
  author={D. Dowe and Steve Gardner and G. Oppy},
  journal={The British Journal for the Philosophy of Science},
  year={2007},
  volume={58},
  pages={709 - 754}
}
The advent of formal definitions of the simplicity of a theory has important implications for model selection. But what is the best way to define simplicity? Forster and Sober ([1994]) advocate the use of Akaike's Information Criterion (AIC), a non-Bayesian formalisation of the notion of simplicity. This forms an important part of their wider attack on Bayesianism in the philosophy of science. We defend a Bayesian alternative: the simplicity of a theory is to be characterised in terms of… Expand
56 Citations
What is a Bayesian Model Selection Procedure
  • 1
  • PDF
MML Is Not Consistent for Neyman-Scott
  • M. Brand
  • Computer Science, Mathematics
  • IEEE Transactions on Information Theory
  • 2020
  • 2
  • PDF
MML, hybrid Bayesian network graphical models, statistical consistency, invarianc
  • 63
  • PDF
Bayes and the simplicity principle in perception.
  • J. Feldman
  • Mathematics, Medicine
  • Psychological review
  • 2009
  • 59
  • PDF
AIC and the challenge of complexity: A case study from ecology.
  • 6
  • PDF
The role of Bayesian philosophy within Bayesian model selection
  • 2
  • Highly Influenced
  • PDF
Coherence, Explanation, and Hypothesis Selection
  • D. H. Glass
  • Computer Science
  • The British Journal for the Philosophy of Science
  • 2021
  • 3
  • PDF
Evidentiary inference in evolutionary biology
  • 4
  • Highly Influenced
...
1
2
3
4
5
...

References

SHOWING 1-10 OF 103 REFERENCES
Model Selection in Science: The Problem of Language Variance
  • M. Forster
  • Mathematics
  • The British Journal for the Philosophy of Science
  • 1999
  • 31
Bayes and Bust: Simplicity as a Problem for a Probabilist's Approach to Confirmation1
  • M. Forster
  • Mathematics
  • The British Journal for the Philosophy of Science
  • 1995
  • 41
  • Highly Influential
How to Tell When Simpler, More Unified, or Less Ad Hoc Theories will Provide More Accurate Predictions
  • 511
  • PDF
Key Concepts in Model Selection: Performance and Generalizability.
  • Fōrster
  • Mathematics, Medicine
  • Journal of mathematical psychology
  • 2000
  • 354
  • PDF
Refinements of MDL and MML Coding
  • 35
  • PDF
MML Estimation of the Parameters of the Sherical Fisher Distribution
  • 33
Minimum Message Length and Kolmogorov Complexity
  • 354
  • PDF
...
1
2
3
4
5
...