Since Katrina, models for natural disasters have proliferated. This robustness has led to a new breed of models: ensemble models, which collects the average of these post-Katrina projections and fuses them into new metrics. There’s research showing they can be more predictive than individual models, but how far does that accuracy extend?.
Rosalie Donlon, editor-in-chief of ALM's insurance and tax publications, joins Pete Dailey, PhD., Vice President of Model Development for RMS, as they examine the ensemble modelings’’ successes, shortcomings and its future in this episode of “Transforming the Future of Risk: A Data-Centric Approach,” sponsored by RMS. Click play to the full episode.
