A powerful penalized multinomial logistic regression approach
{{output}}
Penalized regression methods that shrink model coefficients are popular approaches to improve prediction and for variable selection in high-dimensional settings. We present a penalized (or regularized) regression approach for multinomial logistic models for ca... ...
