Nightly Automobile Claims Prediction from Telematics-Derived Features: A Multilevel Approach

Claims Auditing in Automobile Insurance

Research on insurer management of opportunism in claiming has developed in two parallel literatures. One is a theoretical literature on insurance contracting that yields predictions about the nature of optimal auditing strategies for the deterrence of fraud. The other is a literature based upon statistical analysis of claims that yields empirical strategies for the detection of fraudulent claim...

Changes for Automobile Claims? Views and Overviews

Human Protein Function Prediction from Sequence Derived Features using See5

Abstract— Drug Discovery is a tedious process and involves lot of iterations and different processes for the final approval. The pres ent work focus on prediction of molecular class of an unknown protein. The sequence data is taken from HPRD (Human Protein Reference Database) and then the different features are explored for each molecular sequence using various online tools. The decision tree w...

Prediction of Vehicle Kilometres Travelled: A Multilevel Modelling Approach

This paper builds on previous regression-based approaches that endeavour to account for spatial effects underlying differences in vehicle kilometres of travel (VKT) by private vehicle. A multilevel modelling (MLM) approach is developed with the intent of isolating the variability in VKT attributable to various levels of geographic aggregation. The approach is applied to the prediction of VKT fo...

Multilevel Modeling of Insurance Claims Using Copulas

In property and casualty insurance, claims management is featured with modeling of semicontinuous insurance cost associated with individual risk transfer. This practice is further complicated by the multilevel structure of the insurance claims data, where a contract often contains a group of policyholders, each policyholder is insured under multiple types of coverage, and the contract is repeat...