Model Checking for Parametric Ordinary Differential Equations Systems
From MaRDI portal
Publication:6092950
DOI10.5705/ss.202020.0429arXiv2003.10844WikidataQ115159111 ScholiaQ115159111MaRDI QIDQ6092950
Ran Liu, Li Xing Zhu, Yun Fang
Publication date: 23 November 2023
Published in: Statistica Sinica (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2003.10844
Cites Work
- Unnamed Item
- A consistent test of functional form via nonparametric estimation techniques
- Optimal rate of direct estimators in systems of ordinary differential equations linear in functions of the parameters
- An updated review of goodness-of-fit tests for regression models
- A goodness-of-fit test for parametric and semi-parametric models in multiresponse regression
- Goodness of fit in nonlinear dynamics: misspecified rates or misspecified states?
- Sieve estimation of constant and time-varying coefficients in nonlinear ordinary differential equation models by considering both numerical error and measurement error
- Comparing nonparametric versus parametric regression fits
- Nonparametric model checks for regression
- A consistent test for the functional form of a regression based on a difference of variance estimators
- Model checks for regression: an innovation process approach
- Martingale transforms goodness-of-fit tests in regression models.
- Parameter estimation of ODE's via nonparametric estimators
- Dynamic data analysis. Modeling data with differential equations
- Model checking for regressions: an approach bridging between local smoothing and global smoothing methods
- A model-based initial guess for estimating parameters in systems of ordinary differential equations
- Forcing Function Diagnostics for Nonlinear Dynamics
- Estimation of ordinary differential equation parameters using constrained local polynomial regression
- UNIFORM CONVERGENCE RATES FOR KERNEL ESTIMATION WITH DEPENDENT DATA
- Consequences and Detection of Misspecified Nonlinear Regression Models
- Parameter Estimation for Differential Equations: a Generalized Smoothing Approach
- Parameter Estimation for Differential Equation Models Using a Framework of Measurement Error in Regression Models
- Asymptotic Properties of Non-Linear Least Squares Estimators
This page was built for publication: Model Checking for Parametric Ordinary Differential Equations Systems