A Poisson ridge regression estimator

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On some beta ridge regression estimators: method, simulation and application (2021, methodology): “Exceptionally, Månsson and Shukur [22] introduced some ridge parameters for the logistic regression model, Månsson and Shukur [23] established a Poisson ridge regression (PRR) estimator.”
On the performance of some new Liu parameters for the gamma regression model (2018, methodology): “JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION 3071 The other parameters d̂6 − d̂9 are based on the work of Khalaf and Shukur [22] and Månsson et al. [3] and we modified these parameters for the GR model as d̂6 = max ⎡ ⎣0,median ⎛ ⎝ α̂2j − ϕ̂ max ( ϕ̂ λj ) + α̂2j ⎞ ⎠ ⎤ ⎦ , d̂7 = max ⎡ ⎣0, 1 p p∑ ”
A new modified Jackknifed estimator for the Poisson regression model (2016, methodology): “In that situation, it is difficult to interpret the estimated parameters since the vector of estimated coefficients becomes too long [20].”