Hierarchical generalized linear models, correlation and a posteriori ratemaking
From MaRDI portal
Publication:2689677
DOI10.1016/j.physa.2023.128534OpenAlexW4319793021MaRDI QIDQ2689677
Mamadou L. Diagne, J. Michel Tchuenche, Lucien Diégane Gning
Publication date: 13 March 2023
Published in: Physica A (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.physa.2023.128534
count datacomputational statisticsa posteriori ratemakinghierarchical generalized linear modelmixture of binomial negative distributionmixture of Poisson distribution
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Longitudinal data analysis using generalized linear models
- On the existence of maximum likelihood estimators in Poisson-gamma HGLM and negative binomial regression model
- Multivariate negative binomial models for insurance claim counts
- A generalized Waring regression model for count data
- A priori ratemaking using bivariate Poisson regression models
- The jackknife and bootstrap
- A finite mixture of bivariate Poisson regression models with an application to insurance ratemaking
- The negative binomial-inverse Gaussian regression model with an application to insurance ratemaking
- Discussion on: ``The negative binomial-inverse Gaussian regression model with an application to insurance ratemaking
- The multivariate mixed negative binomial regression model with an application to insurance a posteriori ratemaking
- Fixed versus Random Effects in Poisson Regression Models for Claim Counts: A Case Study with Motor Insurance
- A posteriori ratemaking using bivariate Poisson models
- A POSTERIORI RATEMAKING WITH PANEL DATA
- Negative Binomial Regression
This page was built for publication: Hierarchical generalized linear models, correlation and a posteriori ratemaking