22 citations · 82 across the 10 of their papers we have counts for
4 papers · 1 filter
Detection and treatment of outliers for multivariate robust loss reserving
Benjamin Avanzi, Mark Lavender, Greg Taylor +1
Traditional techniques for calculating outstanding claim liabilities such as the chain ladder are notoriously at risk of being distorted by outliers in past claims data. Unfortunat…
On the impact of outliers in loss reserving
Benjamin Avanzi, Mark Lavender, Greg Taylor +1
The sensitivity of loss reserving techniques to outliers in the data or deviations from model assumptions is a well known challenge. It has been shown that the popular chain-ladder…
Auto-balanced common shock claim models
Greg Taylor, Phuong Anh Vu
The paper is concerned with common shock models of claim triangles. These are usually constructed as a linear combinations of shock components and idiosyncratic components. Previou…
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…