5 citations · 11 across the 8 of their papers we have counts for
4 papers · 1 filter
Variational Bayes latent class approach for EHR-based phenotyping with large real-world data
Brian Buckley, Adrian O'Hagan, Marie Galligan
Bayesian approaches to clinical analyses for the purposes of patient phenotyping have been limited by the computational challenges associated with applying the Markov-Chain Monte-C…
Copula Averaging for Tail Dependence in Insurance Claims Data
Sen Hu, Adrian O'Hagan
Analysing dependent risks is an important task for insurance companies. A dependency is reflected in the fact that information about one random variable provides information about…
Bivariate Gamma Mixture of Experts Models for Joint Insurance Claims Modeling
Sen Hu, T Brendan Murphy, Adrian O'Hagan
In general insurance, risks from different categories are often modeled independently and their sum is regarded as the total risk the insurer takes on in exchange for a premium. Th…
Motor Insurance Accidental Damage Claims Modeling with Factor Collapsing and Bayesian Model Averaging
Sen Hu, Adrian O'Hagan, Thomas Brendan Murphy
Accidental damage is a typical component of motor insurance claim. Modeling of this nature generally involves analysis of past claim history and different characteristics of the in…