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stat.AP2026
A Bayesian Framework for Post-disruption Travel Time Prediction in Metro Networks
Shayan Nazemi, Aurélie Labbe, Stefan Steiner +3
Disruptions are an inherent feature of transportation systems, occurring unpredictably and with varying durations. Even after an incident is reported as resolved, disruptions can i…
stat.AP2024
Recurrent Neural Networks for Multivariate Loss Reserving and Risk Capital Analysis
Pengfei Cai, Anas Abdallah, Pratheepa Jeganathan
In the property and casualty (P&C) insurance industry, reserves comprise most of a company's liabilities. These reserves are the best estimates made by actuaries for future unpaid…