Model Selection and the Principleof Minimum Description

@inproceedings{Hansen1998ModelSA,
  title={Model Selection and the Principleof Minimum Description},
  author={L H Hansen and Bin Yu},
  year={1998}
}
This paper reviews the principle of Minimum Description Length (MDL) for problems of model selection. By viewing statistical modeling as a means of generating descriptions of observed data, the MDL framework discriminates between competing models based on the complexity of each description. This approach began with Kolmogorov's theory of algorithmic complexity, matured in the literature on information theory, and has recently received renewed interest within the statistics community. In the… CONTINUE READING
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