3 citations · 3 across the 2 of their papers we have counts for
3 papers
Use ADAS Data to Predict Near-Miss Events: A Group-Based Zero-Inflated Poisson Approach
Xinbo Zhang, Montserrat Guillen, Lishuai Li +2
Driving behavior big data leverages multi-sensor telematics to understand how people drive and powers applications such as risk evaluation, insurance pricing, and targeted interven…
Copula Modeling of Multivariate Longitudinal Data with Dropout
Edward W. Frees, Catalina Bolancé, Montserrat Guillen +1
Joint multivariate longitudinal and time-to-event data are gaining increasing attention in the biomedical sciences where subjects are followed over time to monitor the progress of…
Multi-state models for evaluating conversion options in life insurance
Guglielmo D'Amico, Montserrat Guillen, Raimondo Manca +1
In this paper we propose a multi-state model for the evaluation of the conversion option contract. The multi-state model is based on age-indexed semi-Markov chains that are able to…