Bayesian modelling of health insurance losses
From MaRDI portal
Publication:5130142
DOI10.1080/02664763.2014.947247OpenAlexW2056053117MaRDI QIDQ5130142
Publication date: 4 November 2020
Published in: Journal of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/02664763.2014.947247
kernel estimationGibbs samplinghealth insurancecollective risk modelpredictive distributionBayes premium
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- On modeling count data: a comparison of some well-known discrete distributions
- Hierarchical Bayesian collective risk model: an application to health insurance
- Density estimation
- A course in credibility theory and its applications
- Collective risk model: Poisson–Lindley and exponential distributions for Bayes premium and operational risk
- A Brief Survey of Bandwidth Selection for Density Estimation
- On optimal and data-based histograms
- Sampling-Based Approaches to Calculating Marginal Densities
- Loss Models
This page was built for publication: Bayesian modelling of health insurance losses