Reduction of Uncertainty in Post-Event Seismic Loss Estimates Using Observation Data and Bayesian Updating
The insurance industry relies on both commercial and in-house software packages to quantify financial risk to natural hazards. For earthquakes, the initial loss estimates from the industry’s catastrophe risk (CAT) models are based on the probabilistic damage a building would sustain due to a catalog...
Main Author: | Torres, Maura Acevedo |
---|---|
Language: | English |
Published: |
2017
|
Subjects: | |
Online Access: | https://doi.org/10.7916/D8QR58F5 |
Similar Items
-
Uncertainties in Earthquake Risk Assessment for Disaster Planning
by: Yasin Fahjan, et al.
Published: (2015-08-01) -
The shape of uncertainty : insurance underwriting in the face of catastrophe
by: Keykhah, Mojdeh
Published: (2000) -
Loss Estimation for Kırşehir Province According to Different Earthquake Scenarios
by: Ercan Işık, et al.
Published: (2019-01-01) -
Hazard Assessment of Earthquake Disaster Chains Based on a Bayesian Network Model and ArcGIS
by: Lina Han, et al.
Published: (2019-05-01) -
Risk Assessment of An Earthquake-Collapse-Landslide Disaster Chain by Bayesian Network and Newmark Models
by: Lina Han, et al.
Published: (2019-09-01)