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Title: Learning interacting particle systems: Diffusion parameter estimation for aggregation equations
In this paper, we study the parameter estimation of interacting particle systems subject to the Newtonian aggregation and Brownian diffusion. Specifically, we construct an estimator [Formula: see text] with partial observed data to approximate the diffusion parameter [Formula: see text], and the estimation error is achieved. Furthermore, we extend this result to general aggregation equations with a bounded Lipschitz interaction field.  more » « less
Award ID(s):
1812573
PAR ID:
10199187
Author(s) / Creator(s):
; ;
Date Published:
Journal Name:
Mathematical Models and Methods in Applied Sciences
Volume:
29
Issue:
01
ISSN:
0218-2025
Page Range / eLocation ID:
1 to 29
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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