Bayesian nonparametric regression models for modeling and predicting healthcare claims

DOI10.1016/j.insmatheco.2018.06.002zbMath1406.62143OpenAlexW2809040651WikidataQ129627044 ScholiaQ129627044MaRDI QIDQ1622503

Robert Richardson, Brian M. Hartman

Publication date: 19 November 2018

Published in: Insurance Mathematics \& Economics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.insmatheco.2018.06.002

zbMATH Keywords

Markov chain Monte Carlolinear modelsmodel comparisondependent Dirichlet processepisode treatment group

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15)

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Uses Software

• DPpackage
• BayesDA

Cites Work

• Unnamed Item
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• A Flexible Bayesian Nonparametric Model for Predicting Future Insurance Claims
• Hierarchical Insurance Claims Modeling
• Generalized Linear Models for Insurance Data
• An ANOVA Model for Dependent Random Measures

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