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Predictive modeling involves the use of data to forecast future events. Building on the foundations developed in the first volume, Volume 2 examines applications of predictive modeling, focusing on property and casualty insurance, exposing readers to a variety of techniques in real-life contexts that demonstrate the value of predictive modeling.
List of contents
1. Pure premium modeling using generalized linear models Ernesto Schirmacher; 2. Applying generalized linear models to insurance data - frequency-severity vs pure premium modeling Dan Tevet; 3. GLMs as predictive claim models Greg Taylor and James Sullivan; 4. Frameworks for general insurance ratemaking - beyond the generalized linear model Peng Shi and James Guszczaz; 5. Using multilevel modeling for group health insurance ratemaking - a case study from the Egyptian market Mona S. A. Hammad and Galal A. H. Harby; 6. Clustering in general insurance pricing Ji Yao; 7. Advanced unsupervised learning methods applied to insurance claims data Louise A. Francis; 8. The predictive distribution of loss reserve estimates over a finite time horizon Glenn Meyers; 9. Finite mixture model and workers compensation large loss regression analysis Luyang Fu and Xianfang Liu; 10. A framework for managing claim escalation using predictive modeling Mohamad A. Hindawi and Claudine H. Modlin; 11. Predictive modeling for usage-based auto insurance Udi Makov and Jim Weiss.
Summary
Predictive modeling involves the use of data to forecast future events. Building on the foundations developed in the first volume, Volume 2 examines applications of predictive modeling, focusing on property and casualty insurance, exposing readers to a variety of techniques in real-life contexts that demonstrate the value of predictive modeling.
