Pages that link to "Item:Q442091"

The following pages link to \(\sqrt{n}\)-consistent parameter estimation for systems of ordinary differential equations: bypassing numerical integration via smoothing (Q442091):

Displaying 30 items.

• Optimal rate of direct estimators in systems of ordinary differential equations linear in functions of the parameters (Q137928) (← links)
• Consistent estimation of ordinary differential equation when the transformation parameter is unknown (Q286459) (← links)
• Biochemical systems theory: a review (Q355964) (← links)
• Statistical inference for dynamical systems: a review (Q895009) (← links)
• Detection of influential measurement for ordinary differential equation with application to HIV dynamics (Q900969) (← links)
• A tracking approach to parameter estimation in linear ordinary differential equations (Q902223) (← links)
• Bayesian two-step estimation in differential equation models (Q908270) (← links)
• Consistency of direct integral estimator for partially observed systems of ordinary differential equations (Q1686363) (← links)
• Bayesian analysis of mixed-effect regression models driven by ordinary differential equations (Q2040659) (← links)
• Two-step Bayesian methods for generalized regression driven by partial differential equations (Q2137034) (← links)
• Separable nonlinear least-squares parameter estimation for complex dynamic systems (Q2175990) (← links)
• A regularization method for the parameter estimation problem in ordinary differential equations via discrete optimal control theory (Q2189116) (← links)
• Tracking for parameter and state estimation in possibly misspecified partially observed linear ordinary differential equations (Q2317251) (← links)
• Robust estimation of parameters in nonlinear ordinary differential equation models (Q2416522) (← links)
• Characterizability of metabolic pathway systems from time series data (Q2437737) (← links)
• Numerical discretization-based kernel type estimation methods for ordinary differential equation models (Q2516020) (← links)
• Data-driven learning of differential equations: combining data and model uncertainty (Q2686515) (← links)
• A model-based initial guess for estimating parameters in systems of ordinary differential equations (Q2809553) (← links)
• Kernel-Based Profile Estimation for Ordinary Differential Equations with Partially Measured State Variables (Q3458082) (← 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)
• Parameter estimation for semiparametric ordinary differential equation models (Q5077959) (← 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)
• Application of one‐step method to parameter estimation in ODE models (Q6089166) (← links)
• Generalized Tikhonov regularization in estimation of ordinary differential equations models (Q6539174) (← links)
• Differential equations in data analysis (Q6602133) (← links)
• Parameter estimation and forecasting with quantified uncertainty for ordinary differential equation models using \textit{QuantDiffForecast}: a MATLAB toolbox and tutorial (Q6618474) (← links)
• Modelling motion energy in psychotherapy: a dynamical systems approach (Q6669006) (← links)