Recherche

A fair price to pay: Exploiting causal graphs for fairness in insurance

Selection Bias in Insurance: Why Portfolio-Specific Fairness Fails to Extend Market-Wide

From Point to probabilistic gradient boosting for claim frequency and severity prediction

A Flexible Hierarchical Insurance Claims Model with Gradient Boosting and Copulas

Micro-level reserving for general insurance claims using a long short-term memory network

Identification of Road Network Intersection Types from Vehicle Telemetry Data Using a Convolutional Neural Network

A Bayesian Approach to Modeling Multivariate Multilevel Insurance Claims in the Presence of Unsettled Claims

When stakes are high: Balancing accuracy and transparency with Model-Agnostic Interpretable Data-driven suRRogates

Boosting Insights in Insurance Tariff Plans with Tree-Based Machine Learning Methods