July 26, 2001
Asymptotic statistical theory is used to develop statistical tests for statistical pattern recognition algorithms designed to process stationary time-series data. Particular difficulties in applying such techniques to artificial neural networks are discussed and some approaches for dealing with these difficulties are briefly reviewed. In addition, a new Statistical Test for comparing two non-nested probability models which may be mis-specified is also introduced.
Last Updated: July 26, 2001