Assuming a product space model for biometric and financial events, there exists a rather natural principle for the decomposition of gains of life insurance contracts into a financial and a biometric part using orthogonal projections. In a discrete time framework, the paper shows the connection between this decomposition, locally variance-optimal hedging and the so-called pooling of biometric ri...

Recommender system has been one of the main enabler of eCommerce personalization, and there have been many researches for improving the fitness of recommendation. However, the necessity of aggregated personal information has pointed out the privacy risk of recommender system. In this paper, we provide basic framework for analyzing the behavior of private information sharing in recommender syste...

This paper investigates consumer inertia in health insurance markets, where adverse selection is a potential concern. We leverage a major change to insurance provision that occurred at a large firm to identify substantial inertia, and develop and estimate a choice model that also quantifies risk preferences and ex ante health risk. We use these estimates to study the impact of policies that nud...

In this paper, target differentiation based on pattern of data which are obtained by a set of two ultrasonic sensors is considered. A neural network based target classifier is applied to these data to categorize the data of each sensor. Then the results are fused together by Dempster–Shafer theory (DST) and Dezert–Smarandache theory (DSmT) to make final decision. The Generalized Aggregated Unce...