|
Activity Number:
|
245
- Methods for Analysis of High-Dimensional Data
|
|
Type:
|
Contributed
|
|
Date/Time:
|
Monday, July 30, 2018 : 2:00 PM to 3:50 PM
|
|
Sponsor:
|
SSC
|
|
Abstract #330823
|
Presentation
|
|
Title:
|
ODE Parameter Estimation with $L_1$ Distance
|
|
Author(s):
|
Yuping Yang* and Jiguo Cao
|
|
Companies:
|
Simon Fraser University and Simon Fraser University
|
|
Keywords:
|
ODE;
parameter estimation;
L1
|
|
Abstract:
|
In the ODE statistical models, estimating the parameter is challenging because solving the ODE is computation expensive. The parameter cascading method avoids this problem by a solution which balances the data fitting and model fitting. It uses $L_2$ distance to measure the ODE model fitting, we exploring the $L_1$ distance and compare these two on parameter estimation.
|
Authors who are presenting talks have a * after their name.
