Multi-stage nested classification credibility quantile regression model
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Publication:784406
DOI10.1016/j.insmatheco.2020.03.007zbMath1446.91071OpenAlexW3013630936MaRDI QIDQ784406
Publication date: 3 August 2020
Published in: Insurance Mathematics \& Economics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.insmatheco.2020.03.007
Nonparametric regression and quantile regression (62G08) Applications of statistics to actuarial sciences and financial mathematics (62P05) Actuarial mathematics (91G05)
Uses Software
Cites Work
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- Using quantile regression for rate-making
- Solvency supervision based on a total balance sheet approach
- On a multilevel hierarchical credibility algorithm
- Tolerance intervals for quantiles of bivariate risks and risk measurement
- Robust regression credibility: The influence function approach
- Comonotonic approximations to quantiles of life annuity conditional expected present value
- Censored regression quantiles
- Bootstrap methods: another look at the jackknife
- A longitudinal data analysis interpretation of credibility models
- A review on robust estimators applied to regression credibility
- Risk measures in a quantile regression credibility framework with Fama/French data applications
- Quantile credibility models
- A course in credibility theory and its applications
- Combining generalized linear models and credibility models in practice
- Hierarchical credibility: analysis of a random effect linear model with nested classification
- A hierarchical credibility regression model
- A multi-level hierarchical credibility regression model
- An Empirical Quantile Function for Linear Models with | operatornameiid Errors
- Conditional linear Bayes rules for hierarchical models
- Geometrical credibility
- Regression Quantiles
- Credibility analysis of a general hierarchical model
- Nonparametric Statistical Data Modeling
- Hierarchical Insurance Claims Modeling
- Common risk factors in the returns on stocks and bonds
- On Some Useful "Inefficient" Statistics
- Robust Statistics