# Exponentially embedded families - new approaches to model order estimation

@article{Kay2005ExponentiallyEF, title={Exponentially embedded families - new approaches to model order estimation}, author={S. Kay}, journal={IEEE Transactions on Aerospace and Electronic Systems}, year={2005}, volume={41}, pages={333-345} }

The use of exponential embedding of two or more probability density functions (pdfs) is introduced. Termed the exponentially embedded family (EEF) of pdfs, its properties are first examined and then it is applied to the problem of model order estimation. The proposed estimator is compared with the minimum description length (MDL) and is found to be superior for cases of practical interest. Also, we point out there is a relationship between the embedded family model order estimator and the… CONTINUE READING

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