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Pair Copula Constructions for Insurance Experience Rating
Peng Shi,
Lu Yang
Research output
:
Contribution to journal
›
Article
›
peer-review
58
Scopus citations
Overview
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Dive into the research topics of 'Pair Copula Constructions for Insurance Experience Rating'. Together they form a unique fingerprint.
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Keyphrases
Experience Rating
100%
Insurance Experience
100%
Pair-copula Construction
100%
Insurer
50%
Linear Predictor
50%
Semi-continuous
50%
Wisconsin
25%
Nested Case
25%
Longitudinal Data
25%
Bivariate
25%
Use Experience
25%
Continuous Outcomes
25%
Performance Prediction
25%
Shrinkage Estimator
25%
Right-skewed
25%
Policyholders
25%
Mixed Distribution
25%
Vine
25%
Repeated Observations
25%
Predictive Distribution
25%
Temporal Dependence
25%
Rating Method
25%
Insurance Claims
25%
Two-component Mixture
25%
Profitable Business
25%
Zero-inflation
25%
Thick Tail
25%
Data Framework
25%
Lorenz Curve
25%
Property Insurance
25%
Long-tailed Distribution
25%
Non-life Insurance
25%
Mixture Regression
25%
Conditional Copula
25%
Credibility Premium
25%
D-vine
25%
Construction Framework
25%
Mathematics
Copula
100%
Experience Rating
100%
Linear Predictor
50%
Conditionals
25%
Bivariate
25%
Predictive Performance
25%
Shrinkage Estimator
25%
Predictive Distribution
25%
Nested Case
25%
Tailed Distribution
25%
Longitudinal Data
25%
Supplementary Material
25%
Insurance Claim
25%
Lorenz Curve
25%
Past Experience
25%