Pages that link to "Item:Q988009"

The following pages link to Sieve estimation of constant and time-varying coefficients in nonlinear ordinary differential equation models by considering both numerical error and measurement error (Q988009):

Displaying 44 items.

• Statistical inference in mechanistic models: time warping for improved gradient matching (Q99665) (← links)
• Optimal rate of direct estimators in systems of ordinary differential equations linear in functions of the parameters (Q137928) (← links)
• Estimation of nonlinear differential equation model for glucose-insulin dynamics in type I diabetic patients using generalized smoothing (Q400623) (← links)
• \(\sqrt{n}\)-consistent parameter estimation for systems of ordinary differential equations: bypassing numerical integration via smoothing (Q442091) (← links)
• Time-varying coefficient estimation in differential equation models with noisy time-varying covariates (Q642222) (← links)
• Statistical inference for dynamical systems: a review (Q895009) (← links)
• Sieve M-estimator for a semi-functional linear model (Q904655) (← links)
• Bayesian two-step estimation in differential equation models (Q908270) (← links)
• Parameter estimation and inference in dynamic systems described by linear partial differential equations (Q1622073) (← links)
• Inference for differential equation models using relaxation via dynamical systems (Q1663113) (← links)
• Statistical analysis of differential equations: introducing probability measures on numerical solutions (Q1703820) (← links)
• Identification of nonparametric monotonic regression models with continuous nonclassical measurement errors (Q2074591) (← links)
• Two-step Bayesian methods for generalized regression driven by partial differential equations (Q2137034) (← links)
• Identifiability analysis of linear ordinary differential equation systems with a single trajectory (Q2148033) (← links)
• A regularization method for the parameter estimation problem in ordinary differential equations via discrete optimal control theory (Q2189116) (← links)
• Bayesian inference of a directional brain network model for intracranial EEG data (Q2291289) (← links)
• Laplace based approximate posterior inference for differential equation models (Q2361446) (← links)
• Bayesian inference for higher-order ordinary differential equation models (Q2397132) (← links)
• Robust estimation of parameters in nonlinear ordinary differential equation models (Q2416522) (← links)
• Numerical discretization-based kernel type estimation methods for ordinary differential equation models (Q2516020) (← links)
• Inference in dynamic systems using B-splines and quasilinearized ODE penalties (Q2806856) (← links)
• A model-based initial guess for estimating parameters in systems of ordinary differential equations (Q2809553) (← links)
• Numerical discretization-based estimation methods for ordinary differential equation models via penalized spline smoothing with applications in biomedical research (Q2912324) (← links)
• Bayesian Analysis of ODEs: Solver Optimal Accuracy and Bayes Factors (Q3179310) (← links)
• Robust estimation of constant and time-varying parameters in nonlinear ordinary differential equation models (Q3455252) (← links)
• Optimal Control and Additive Perturbations Help in Estimating Ill-Posed and Uncertain Dynamical Systems (Q4559701) (← links)
• Parametric Estimation of Ordinary Differential Equations With Orthogonality Conditions (Q4975341) (← links)
• Sparse Additive Ordinary Differential Equations for Dynamic Gene Regulatory Network Modeling (Q4975410) (← links)
• Generalized Ordinary Differential Equation Models (Q4975636) (← links)
• APIK: Active Physics-Informed Kriging Model with Partial Differential Equations (Q5075236) (← links)
• Parameter estimation for semiparametric ordinary differential equation models (Q5077959) (← links)
• Bayesian estimation of time-varying parameters in ordinary differential equation models with noisy time-varying covariates (Q5082564) (← links)
• A refined parameter estimating approach for HIV dynamic model (Q5128672) (← links)
• Parameter Estimation and Variable Selection for Big Systems of Linear Ordinary Differential Equations: A Matrix-Based Approach (Q5231494) (← links)
• The influence of numerical error on parameter estimation and uncertainty quantification for advective PDE models (Q5383315) (← links)
• Estimation of Ordinary Differential Equation Models with Discretization Error Quantification (Q5858427) (← links)
• Nonparametric estimation of isotropic covariance function (Q5881432) (← links)
• Time-course window estimator for ordinary differential equations linear in the parameters (Q5963812) (← links)
• Estimating Varying Coefficients for Partial Differential Equation Models (Q6056305) (← links)
• Bayesian smooth‐and‐match inference for ordinary differential equations models linear in the parameters (Q6067674) (← links)
• Model Checking for Parametric Ordinary Differential Equations Systems (Q6092950) (← links)
• Specification testing for ordinary differential equation models with fixed design and applications to COVID-19 epidemic models (Q6167037) (← links)
• Generalized Tikhonov regularization in estimation of ordinary differential equations models (Q6539174) (← links)
• Differential equations in data analysis (Q6602133) (← links)