A gamma kernel density estimation for insurance loss data
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Publication:2015623
DOI10.1016/j.insmatheco.2013.08.009zbMath1290.62099OpenAlexW2091955409MaRDI QIDQ2015623
Publication date: 23 June 2014
Published in: Insurance Mathematics \& Economics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.insmatheco.2013.08.009
Density estimation (62G07) Applications of statistics to actuarial sciences and financial mathematics (62P05)
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Uses Software
Cites Work
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- Beta kernel estimators for density functions
- Inverse beta transformation in kernel density estimation
- Kernel density estimation of actuarial loss functions
- The moments of the time of ruin, the surplus before ruin, and the deficit at ruin
- Smoothing methods in statistics
- A new class of models for heavy tailed distributions in finance and insurance risk
- Estimating the Error Rate of a Prediction Rule: Improvement on Cross-Validation
- Transformations in Density Estimation
- Density estimation using inverse and reciprocal inverse Gaussian kernels
- On the Class of Erlang Mixtures with Risk Theoretic Applications
- Markov Aging Process and Phase-Type Law of Mortality
- Kernel density estimation for heavy-tailed distributions using the champernowne transformation
- Tail Conditional Expectations for Exponential Dispersion Models
- Tail Conditional Expectations for Elliptical Distributions
- Modeling Hidden Exposures in Claim Severity Via the Em Algorithm
- Loss Models
- Probability density function estimation using gamma kernels
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