Pages that link to "Item:Q5165010"
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The following pages link to A New Class of Severity Regression Models with an Application to IBNR Prediction (Q5165010):
Displaying 13 items.
- Predicting automobile claims bodily injury severity with sequential ordered logit models (Q997085) (← links)
- On the mixtures of length-biased Weibull distributions for loss severity modeling (Q2131911) (← links)
- Severity modeling of extreme insurance claims for tariffication (Q2273978) (← links)
- Maximum weighted likelihood estimator for robust heavy-tail modelling of finite mixture models (Q2682986) (← links)
- Deep quantile and deep composite triplet regression (Q2685516) (← links)
- Fat-Tailed Regression Modeling with Spliced Distributions (Q4633996) (← links)
- JOINT MODELING OF CLAIM FREQUENCIES AND BEHAVIORAL SIGNALS IN MOTOR INSURANCE (Q5067880) (← links)
- THE IMPACTS OF INDIVIDUAL INFORMATION ON LOSS RESERVING (Q5157773) (← links)
- PHASE-TYPE DISTRIBUTIONS FOR CLAIM SEVERITY REGRESSION MODELING (Q5866174) (← links)
- Fitting Censored and Truncated Regression Data Using the Mixture of Experts Models (Q5877347) (← links)
- Mixture Composite Regression Models with Multi-type Feature Selection (Q6110498) (← links)
- Robust claim frequency modeling through phase-type mixture-of-experts regression (Q6116750) (← links)
- Phase-type mixture-of-experts regression for loss severities (Q6156007) (← links)
