Results 21 to 30 of about 221,390 (304)
Prediction of Insurance Fraud Detection using Machine Learning Algorithms
In current era, people are influenced with various types of insurance such as health insurance, automobile insurance, property insurance and travel insurance, due to the availability of extensive knowledge related to insurance.
Laiqa Rukhsar +3 more
doaj +1 more source
Asymmetric information, self-selection and pricing of insurance contracts: the simple no-claims case [PDF]
This paper presents an optional bonus-malus contract based on a pri-ori risk classification of the underlying insurance contract. By inducing self-selection, the purchase of the bonus-malus contract can be used as a screening device.
Donnelly, Catherine +3 more
core +2 more sources
Pay-as-you-drive (PAYD), or usage-based automobile insurance (UBI), is a policy agreement tied to vehicle usage. In this paper we analyze the effect of the distance traveled on the risk of accidents among young drivers with a PAYD policy.
Mercedes Ayuso +2 more
doaj +1 more source
Spinal Cord Injury Fact Sheet in Korea [PDF]
Spinal cord injury (SCI) has been recognized as a medically complex and life-disrupting condition. As the aging of the population accelerates, the trend of SCI has changed.
Han-Kyoul KIM +4 more
doaj +1 more source
Pricing automobile insurance using mixed Poisson distributions [PDF]
Automobile insurance, particularly motor third liability insurance covers dominant share in the portfolio of non-life insurance in almost all countries of the world.
Simeunović Ivana +2 more
doaj
A Bagged Ensemble Convolutional Neural Networks Approach to Recognize Insurance Claim Frauds
Fighting fraudulent insurance claims is a vital task for insurance companies as it costs them billions of dollars each year. Fraudulent insurance claims happen in all areas of insurance, with auto insurance claims being the most widely reported and ...
Youness Abakarim +2 more
doaj +1 more source
A comprehensive auto insurance policy usually provides the broadest protection for the most common events for which the policyholder would file a claim.
Emilio Gómez-Déniz +1 more
doaj +1 more source
Dynamic Pricing Models for Automobile Insurance [PDF]
The accurate pricing of automobile insurance remains a critical challenge, particularly in markets where traditional models fail to capture risk heterogeneity.
Lynda Ait Bachir +2 more
doaj +1 more source
Modeling Insurance Claims Distribution through Combining Generalized Hyperbolic Skew-t Distribution with Extreme Value Theory [PDF]
This paper examines whether combining Generalized Hyperbolic Skew-t distribution, recently introduced in the field of insurance, and Extreme Value Theory (EVT) could result in a modeling of loss function that could model central value as well as extreme ...
Saeed Bajalan +2 more
doaj +1 more source
Generalized Linear Models (GLMs) are the standard tool used for pricing in the field of automobile insurance. Generalized Additive Models (GAMs) are more complex and computationally intensive but allow taking into account nonlinear effects without the ...
Zuleyka Díaz Martínez +2 more
doaj +1 more source

