Stochastic loss reserving with mixture density neural networks

Muhammed Taher Al-Mudafer, Benjamin Avanzi, Greg Taylor +1

Neural networks offer a versatile, flexible and accurate approach to loss reserving. However, such applications have focused primarily on the (important) problem of fitting accurat…