Bayesian smooth‐and‐match inference for ordinary differential equations models linear in the parameters
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Publication:6067674
DOI10.1111/stan.12192OpenAlexW2991066021WikidataQ126745880 ScholiaQ126745880MaRDI QIDQ6067674
Ernst C. Wit, Saverio Ranciati, Cinzia Viroli
Publication date: 14 December 2023
Published in: Statistica Neerlandica (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1111/stan.12192
Cites Work
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- Optimal rate of direct estimators in systems of ordinary differential equations linear in functions of the parameters
- \(\sqrt{n}\)-consistent parameter estimation for systems of ordinary differential equations: bypassing numerical integration via smoothing
- Bayesian solution uncertainty quantification for differential equations
- Smooth functional tempering for nonlinear differential equation models
- Bayesian two-step estimation in differential equation models
- Sieve estimation of constant and time-varying coefficients in nonlinear ordinary differential equation models by considering both numerical error and measurement error
- Statistical analysis of differential equations: introducing probability measures on numerical solutions
- Parameter estimation of ODE's via nonparametric estimators
- Efficient Bayesian estimation and uncertainty quantification in ordinary differential equation models
- Inferring the time-invariant topology of a nonlinear sparse gene regulatory network using fully Bayesian spline autoregression
- A Spline Least Squares Method for Numerical Parameter Estimation in Differential Equations
- Parameter Estimation for Differential Equations: a Generalized Smoothing Approach
- Quick and Easy One-Step Parameter Estimation in Differential Equations
- Penalized complexity priors for degrees of freedom in Bayesian P-splines
- Time-course window estimator for ordinary differential equations linear in the parameters
