Varsha Shah

Probabilistic Risk Aggregation Models for Adaptive Financial Fraud Detection in Enterprise Systems

A Bayesian risk aggregation framework that fuses behavioral, transactional, and network-topological signals into a unified posterior fraud probability estimate is proposed, enabling continuous model adaptation without full retraining.