Pages that link to "Item:Q4544616"
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The following pages link to Strong optimality of the normalized ML models as universal codes and information in data (Q4544616):
Displaying 20 items.
- The flexibility of models of recognition memory: an analysis by the minimum-description length principle (Q654392) (← links)
- On the normalized maximum likelihood and Bayesian decision theory (Q867987) (← links)
- Testing order constraints: qualitative differences between Bayes factors and normalized maximum likelihood (Q894591) (← links)
- The flexibility of models of recognition memory: the case of confidence ratings (Q899141) (← links)
- On the minimum description length complexity of multinomial processing tree models (Q979181) (← links)
- Feature selection for Bayesian network classifiers using the MDL-FS score (Q990984) (← links)
- On some properties of the NML estimator for Bernoulli strings (Q1029082) (← links)
- NML, Bayes and true distributions: a comment on Karabatsos and Walker (2006) (Q1042305) (← links)
- Assessing model mimicry using the parametric bootstrap. (Q1431814) (← links)
- Hierarchical two-part MDL code for multinomial distributions (Q1726276) (← links)
- Selecting amongst multinomial models: an apologia for normalized maximum likelihood (Q2197107) (← links)
- A linear-time algorithm for computing the multinomial stochastic complexity (Q2379977) (← links)
- Bayesian nonparametric model selection and model testing (Q2507905) (← links)
- Accumulative prediction error and the selection of time series models (Q2507906) (← links)
- Model selection by normalized maximum likelihood (Q2507907) (← links)
- Model selection for the rate problem: a comparison of significance testing, Bayesian and minimum description length statistical inference (Q2507909) (← links)
- Model selection by minimum description length: lower-bound sample sizes for the Fisher information approximation (Q2513825) (← links)
- Bayes factors: Prior sensitivity and model generalizability (Q2519503) (← links)
- A Note on the Applied Use of MDL Approximations (Q4823699) (← links)
- Fast and fully-automated histograms for large-scale data sets (Q6167056) (← links)
