A Robust Shrinkage Estimator for Over dispersed Poisson Regression Using Penalized Likelihood Approaches

Abstract

Classical Poisson regression collapses when real-world counts are simultaneously over-dispersed,collinear, and contaminated by aberrant observations. Ridge, lasso, and elastic-net penalties eachcure part of the problem—variance inflation or over-parameterization