We propose a procedure associated with the idea of the E-M algorithm for model selection in the presence of missing data. The idea extends the concept of parameters to include both the model and the ...

Effective compression is about finding patterns to make data smaller without losing information. When an algorithm or model can accurately guess the next piece of data in a sequence, it shows it’s ...

Selection is a decision or question. At some point in an algorithm there may need to be a question because the algorithm has reached a step where one or more options are available. Depending on the ...

We consider regression experiments involving a response varible Y and a large number of predictor variables X1,...,Xd, many of which may be irrelevant for the prediction of Y and thus must be removed ...