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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

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.

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