Specification testing for ordinary differential equation models with fixed design and applications to COVID-19 epidemic models

Cites Work

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A consistent test of functional form via nonparametric estimation techniques
Central limit theorem for integrated square error of multivariate nonparametric density estimators
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
Minimum distance regression model checking
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
CONSISTENT MODEL SPECIFICATION TESTS
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
Bootstrap Approximations in Model Checks for Regression
Consequences and Detection of Misspecified Nonlinear Regression Models
Central limit theorem for degenerateU-Statistics of Absolutely Regular Processes with Applications to Model Specification Testing
Semiparametric Estimation of Index Coefficients
Consistent Model Specification Tests: Omitted Variables and Semiparametric Functional Forms
Martingale Central Limit Theorems
A Class of Statistics with Asymptotically Normal Distribution

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