|
Activity Number:
|
71
|
|
Type:
|
Contributed
|
|
Date/Time:
|
Sunday, July 31, 2016 : 4:00 PM to 5:50 PM
|
|
Sponsor:
|
Section on Statistics and the Environment
|
|
Abstract #321521
|
|
|
Title:
|
Modeling the Frequency and Magnitude of Extreme Events
|
|
Author(s):
|
Piyas Chakraborty* and Hao Zhang
|
|
Companies:
|
Purdue University and Purdue University
|
|
Keywords:
|
Extreme values ;
Block maxima ;
Generalized extreme value distribution ;
Threshold exceedances ;
Poisson process ;
Intensity function
|
|
Abstract:
|
In this work, we extend the Poisson point process approach to modeling extreme values to separately model the frequency and the magnitude of extreme events. We assume that extremes occur over time according to an inhomogeneous Poisson process with a parametric intensity function to be estimated. This intensity reflects the frequency and the magnitude of extreme events. We demonstrate through an earthquake dataset that the new model may significantly outperform the common existing models for extreme values.
|
Authors who are presenting talks have a * after their name.
