The Minimum Description Length Principle and Model Selection in Spectropolarimetry
It is shown that the two-part minimum description length principle can be used to discriminate among different models that can explain a given observed data set. The description length is chosen to be the sum of the lengths of the message needed to encode the model plus the message needed to encode the data when the model is applied to the data set
Asensio Ramos, A.
Fecha de publicación:
8
2006