Strong optimality of the normalized ML models as universal codes and information in data
From MaRDI portal
Publication:4544616
DOI10.1109/18.930912zbMath0999.94016OpenAlexW2138200515MaRDI QIDQ4544616
Publication date: 4 August 2002
Published in: IEEE Transactions on Information Theory (Search for Journal in Brave)
Full work available at URL: https://semanticscholar.org/paper/d66bfc31e88b4d26cc8525b73873fe52722fe9b4
Coding and information theory (compaction, compression, models of communication, encoding schemes, etc.) (aspects in computer science) (68P30) Source coding (94A29)
Related Items
A linear-time algorithm for computing the multinomial stochastic complexity ⋮ A Note on the Applied Use of MDL Approximations ⋮ On the normalized maximum likelihood and Bayesian decision theory ⋮ Testing order constraints: qualitative differences between Bayes factors and normalized maximum likelihood ⋮ The flexibility of models of recognition memory: the case of confidence ratings ⋮ Selecting amongst multinomial models: an apologia for normalized maximum likelihood ⋮ Fast and fully-automated histograms for large-scale data sets ⋮ The flexibility of models of recognition memory: an analysis by the minimum-description length principle ⋮ Hierarchical two-part MDL code for multinomial distributions ⋮ Assessing model mimicry using the parametric bootstrap. ⋮ On the minimum description length complexity of multinomial processing tree models ⋮ Feature selection for Bayesian network classifiers using the MDL-FS score ⋮ Bayesian nonparametric model selection and model testing ⋮ Accumulative prediction error and the selection of time series models ⋮ Model selection by normalized maximum likelihood ⋮ Model selection for the rate problem: a comparison of significance testing, Bayesian and minimum description length statistical inference ⋮ Model selection by minimum description length: lower-bound sample sizes for the Fisher information approximation ⋮ Bayes factors: Prior sensitivity and model generalizability ⋮ On some properties of the NML estimator for Bernoulli strings ⋮ NML, Bayes and true distributions: a comment on Karabatsos and Walker (2006)