Pages that link to "Item:Q5210997"
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The following pages link to Neural network embedding of the over-dispersed Poisson reserving model (Q5210997):
Displaying 18 items.
- Modelling and understanding count processes through a Markov-modulated non-homogeneous Poisson process framework (Q2029324) (← links)
- An individual claims reserving model for reported claims (Q2066783) (← links)
- Stochastic loss reserving with mixture density neural networks (Q2155845) (← links)
- Bias regularization in neural network models for general insurance pricing (Q2209793) (← links)
- Infinitely stochastic micro reserving (Q2234749) (← links)
- Neural networks applied to chain-ladder reserving (Q2323655) (← links)
- Dispersion modelling of outstanding claims with double Poisson regression models (Q2665876) (← links)
- Deep quantile and deep composite triplet regression (Q2685516) (← links)
- Life expectancy and lifespan disparity forecasting: a long short-term memory approach (Q4990505) (← links)
- A COLLECTIVE RESERVING MODEL WITH CLAIM OPENNESS (Q5067885) (← links)
- A NEURAL NETWORK BOOSTED DOUBLE OVERDISPERSED POISSON CLAIMS RESERVING MODEL (Q5213437) (← links)
- Neural networks meet least squares Monte Carlo at internal model data (Q6173896) (← links)
- The use of autoencoders for training neural networks with mixed categorical and numerical features (Q6174075) (← links)
- Quantile mortality modelling of multiple populations via neural networks (Q6543151) (← links)
- Telematics combined actuarial neural networks for cross-sectional and longitudinal claim count data (Q6556599) (← links)
- Micro-level reserving for general insurance claims using a long short-term memory network (Q6581500) (← links)
- Ensemble distributional forecasting for insurance loss reserving (Q6632363) (← links)
- Blended insurance scheme: a synergistic conventional-index insurance mixture (Q6665590) (← links)
