The Internet of Things (IoT) promises a new technological paradigm that can offer a number of innovative applications and services targeting different scopes of adoption. The full potential impact of the IoT is enormous due to its pervasive nature and the rapid improvement of enabling...

This paper explores the effects of relative food prices on body weight and body fat over time in China. We study a cohort of 15,000 adults from over 200 communities in China, using the longitudinal China Health and Nutrition Survey (1991-2006). While we find that decreases in the price of...

Linear factor models, where the factors are affine processes, play a key role in Finance, since they allow for quasi-closed form expressions of the term structure of risks. We introduce the class of noncausal affine linear factor models by considering factors that are affine in reverse time....

In the past decade, cyber insurance has raised much interest in the insurance industry, and cyber risk has evolved from a type of pure operational risk to both operational and liability risk for insurers. However, the modeling of cyber risk is still in its infancy. Compared with other insurance...

We propose a hierarchical random effect model for the posterior insurance ratemaking of vehicles belonging to a fleet by allowing random effects for fleet, vehicle, and time. The model is an alternative to the gamma-Dirichlet model of Angers et al (2018), which does not allow for a closed form...

In insurance and related industries including healthcare, it is common to have several outcome measures that the analyst wishes to understand using explanatory variables. For example, in automobile insurance, an accident may result in payments for damage to one's own vehicle, damage to another...

We introduce new semi-parametric models for the analysis of rates and proportions, such as proportions of default, (expected) loss-given-default and credit conversion factor encountered in credit risk analysis. These models are especially convenient for stress test exercises. We show that...