Residual Ratio Thresholding for Linear Model Order Selection
Residual Ratio Thresholding for Linear Model Order Selection
Model order selection (MOS) in linear regression models is a widely studied problem in signal processing. Penalized log likelihood techniques based on information theoretic criteria (ITC) are algorithms of choice in MOS problems. Recently, a number of model selection problems have been successfully solved with explicit finite sample guarantees using …