A regularization method for the parameter estimation problem in ordinary differential equations via discrete optimal control theory-Reference-Cited by-同舟云学术

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A regularization method for the parameter estimation problem in ordinary differential equations via discrete optimal control theory

Published:2021-01 Issue: Volume:210 Page:1-19
ISSN:0378-3758
Container-title:Journal of Statistical Planning and Inference
language:en
Short-container-title:Journal of Statistical Planning and Inference

Author:

Clairon Quentin

Funder

Institut National de la Santé et de la Recherche Médicale

Institut national de recherche en informatique et en automatique

Engineering and Physical Sciences Research Council

Publisher

Elsevier BV

Subject

Applied Mathematics,Statistics, Probability and Uncertainty,Statistics and Probability

Reference61 articles.

1. Optimal control of a two-strain tuberculosis-HIV/AIDSco-infection model;Agusto;BioSystems,2014

2. A tracking approach to parameter estimation in linear ordinary differential equations;Brunel;Electron. J. Stat.,2015

3. Parameter estimation of ordinary differential equations with orthogonality conditions;Brunel;J. Amer. Statist. Assoc.,2014

4. Learning about physical parameters: The importance of model discrepancy;Brynjarsdottir;Inverse Problems,2014

5. Bayesian solution uncertainty quantification for differential equations;Chkrebtii;Bayesian Anal.,2016

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1. Parameter estimation in nonlinear mixed effect models based on ordinary differential equations: an optimal control approach;Computational Statistics;2023-10-14

2. Enhancing the Accuracy of Water-Level Forecasting with a New Parameter-Inversion Model for Estimating Bed Roughness in Hydrodynamic Models;Applied Sciences;2023-04-03

3. Optimal control for parameter estimation in partially observed hypoelliptic stochastic differential equations;Computational Statistics;2022-03-16

4. Multiconstrained Ascent Trajectory Optimization Using an Improved Particle Swarm Optimization Method;International Journal of Aerospace Engineering;2021-02-24

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