ADDRESSING IMBALANCED INSURANCE DATA THROUGH ZERO-INFLATED POISSON REGRESSION WITH BOOSTING
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Publication:5157763
DOI10.1017/asb.2020.40zbMath1471.91466OpenAlexW3112727922MaRDI QIDQ5157763
Publication date: 20 October 2021
Published in: ASTIN Bulletin (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1017/asb.2020.40
Applications of statistics to actuarial sciences and financial mathematics (62P05) Learning and adaptive systems in artificial intelligence (68T05) Actuarial mathematics (91G05)
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Cites Work
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- Greedy function approximation: A gradient boosting machine.
- The structure distribution in a mixed Poisson process
- Coordinate descent algorithms
- A course in credibility theory and its applications
- Zero-Inflated Poisson Regression, with an Application to Defects in Manufacturing
- Delta Boosting Machine with Application to General Insurance
- MODELLING ZERO-INFLATED COUNT DATA WITH A SPECIAL CASE OF THE GENERALISED POISSON DISTRIBUTION
- Risk Classification for Claim Counts
- On the Nonasymptotic Convergence of Cyclic Coordinate Descent Methods
- Imbalanced Learning
- Bayesian Generalized Additive Models for Location, Scale, and Shape for Zero-Inflated and Overdispersed Count Data
- Generalized Linear Models for Insurance Data
- Stochastic gradient boosting.