A new look at the statistical model identification

Akaike, H. (1974). A new look at the statistical model identification. IEEE Transactions on Automatic Control, 19(6), 716-723.

Type

Journal article

Intellectual base

Primary research

Year

1974

Link

https://doi.org/10.1007/978-1-4612-1694-0_16matched

Cited from

philosophy, statistics_experimental_design

Cited by

2 citations across 2 artifacts.

Each citation links to the sentence it supports in the citing article.

Primes

• Overfitting

  • This sourceAIC model selection criterion, information-theoretic approach to overfitting.

• Parsimony (Occam's Razor)
  • … praeter necessitatem" (entities are not to be multiplied beyond necessity) codified the maxim and supplied the foundational name; modern formalizations ground parsimony in Bayesian model comparison (marginal likelihood penalizes complexity automatically), information-theoretic criteria (Akaike Information Criterion

    This sourceAIC model selection criterion, information-theoretic approach to overfitting.

Verification

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Registry ID ref:2376f002da68 · see in the full table