Variable Selection Algorithm for a Mixture of Poisson Regression for Handling Overdispersion in Claims Frequency Modeling Using Telematics Car Driving Data

Keyphrases

• Poisson Regression 100%
• Telematics Car Driving Data 100%
• Variable Selection Methods 100%
• Telematics Data 100%
• Claims Frequency Modeling 100%
• Overdispersion 100%
• Area under the Curve 66%
• Predictive Power 66%
• Automobile Insurance 66%
• Poisson Assumption 66%
• Alternative Algorithms 33%
• Number of Zeros 33%
• Overfitting 33%
• Driving Behavior 33%
• Essential Variables 33%
• Regression Modeling 33%
• Machine Learning System 33%
• History Data 33%
• Number of Claims 33%
• Actuarial Pricing 33%
• Poisson Mixture 33%
• Zero-inflated Models 33%
• Pricing Process 33%
• Finite Mixture of Regressions 33%
• Finite Mixture Distribution 33%
• Justi 33%

Mathematics

• Covariate 100%
• Poisson Regression 100%
• Finite Mixture 100%
• Overdispersion 100%
• Predictive Power 100%
• Subsample 50%
• Mixture Distribution 50%
• Poisson Regression Model 50%