Predictive Modeling in Long-Term Care Insurance

DOI10.1080/10920277.2016.1176933zbMath1414.91209OpenAlexW2400015464MaRDI QIDQ5379179

Brian M. Hartman, Nathan Lally

Publication date: 28 May 2019

Published in: North American Actuarial Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/10920277.2016.1176933

zbMATH Keywords

long-term care insurancemortality prediction, lapse rate prediction

Mathematics Subject Classification ID

Applications of statistics to actuarial sciences and financial mathematics (62P05)

Cites Work

• Model selection bias and Freedman's paradox
• Generalized additive models
• Multidimensional smoothing by adaptive local kernel-weighted log-likelihood: application to long-term care insurance
• Zero-Inflated Poisson Regression, with an Application to Defects in Manufacturing
• Fitting Tweedie's compound poisson model to insurance claims data
• Fitting Tweedie's Compound Poisson Model to Insurance Claims Data: Dispersion Modelling
• Modeling Disability in Long-Term Care Insurance
• Random forests

This page was built for publication: Predictive Modeling in Long-Term Care Insurance