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5 papers

stat.ME2026

Penalized Copula Mixed Models for Intercompany Loss Reserving and Risk Capital

Pengfei Cai, Anas Abdallah, Pratheepa Jeganathan

The paper proposes a penalized generalized copula mixed model for multivariate loss reserving across multiple insurers, incorporating company-specific dependence and L1 regularizat…

stat.ME2026

A Robust Nonparametric Framework for Detecting Repeated Spatial Patterns

Rajitha Senanayake, Pratheepa Jeganathan

Identifying spatially contiguous clusters and repeated spatial patterns (RSP) characterized by similar underlying distributions that are spatially apart is a key challenge in moder…

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.ME2025

Scalable Spatiotemporal Modeling for Bicycle Count Prediction

Rishikesh Yadav, Alexandra M. Schmidt, Aurelie Labbe +2

We propose a novel sparse spatiotemporal dynamic generalized linear model for efficient inference and prediction of bicycle count data. Assuming Poisson distributed counts with spa…

stat.AP2025

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…