Description Usage Arguments Value
It produces the boostrapping to obtain a full reserves distribution with the MackNet model.
1 | MackNet_Boot(Simulations, Parameters, Cumulative.T, OutliersControl)
|
Simulations |
Number of samples produced by the MackNet model |
Parameters |
List with all the MackNet parameters. Please refer to function MackNet_Parameters for further details |
Cumulative.T |
Cumulative payments triangle. |
OutliersControl |
Development factors below 0.975 are not allowed when this variable is set to 1. |
The formula generates the following outputs:
Residuals_Boot
Residuals used within the bootstrap procedure.
Payments.D
It contains the total following year payments sampled by the MackNet model.
Reservest.D
It contains the total reserves sampled by the MackNet model.
Reservest_1.D
It contains the total reserves in t+1 sampled by the MackNet model.
Ultimatest.D
It contains the ultimate cost sampled by the MackNet model.
Payments.D.Vector
It contains the following year payments by accident year sampled by the MackNet model.
Reservest.D.Vector
It contains the reserves by accident year sampled by the MackNet model.
Reservest_1.D.Vector
It contains the reserves in t+1 by accident year sampled by the MackNet model.
Ultimatest.D.Vector
It contains the ultimate cost by accident year sampled by the MackNet model.
TrianglesBackup
This array contains all the triangles sampled by the MackNet model.
UpperTrianglesBackup
Only for testing purposes. It assumes that the only observed value is the one included in the first development year.
Boot_DevFactors
Predictive development factors sampled by the boostrap procedure.
Development_Factors_MackNet
Predictive development factors of the MackNet model.
Alpha
Predictive alpha by development year of the MackNet model. This variable is named as sigma in "Mack-Net model: Blending Mack's model with Recurrent Neural Networks".
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