Karyn L. Sutton
Statistics and Probability · 2009
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 5 citations into it
Whom Karyn L. Sutton trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Karyn L. Sutton's perspective
Ordered by how strongly the researchers Karyn L. Sutton trusts endorse each paper. Same corpus, a different order for every researcher.
- Model selection and multimodel inference : a practical information-theoretic approach
- Understanding AIC and BIC in Model Selection
- Nonlinear Statistical Models
- Standard errors and confidence intervals in inverse problems: sensitivity and associated pitfalls
- Inverse problem theory - and methods for model parameter estimation
- Akaike's Information Criterion and Recent Developments in Information Complexity. (Journal of Mathematical Psychology)
- Further analysts of the data by akaike' s information criterion and the finite corrections
- Estimating the Dimension of a Model
- Information Theory and an Extension of the Maximum Likelihood Principle
- A new look at the statistical model identification
Their papers
- An Inverse Problem Statistical Methodology Summary (2009) — 100 citations