Model Selection, Simplicity, and Scientific Inference

@article{Myrvold2002ModelSS,
  title={Model Selection, Simplicity, and Scientific Inference},
  author={Wayne C. Myrvold and W. Harper},
  journal={Philosophy of Science},
  year={2002},
  volume={69},
  pages={S135 - S149}
}
  • Wayne C. Myrvold, W. Harper
  • Published 2002
  • Computer Science
  • Philosophy of Science
  • The Akaike Information Criterion can be a valuable tool of scientific inference. This statistic, or any other statistical method for that matter, cannot, however, be the whole of scientific methodology. In this paper some of the limitations of Akaikean statistical methods are discussed. It is argued that the full import of empirical evidence is realized only by adopting a richer ideal of empirical success than predictive accuracy, and that the ability of a theory to turn phenomena into accurate… CONTINUE READING
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