Pages that link to "Item:Q3158731"
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The following pages link to Estimating parameters and stochastic functions of one variable using nonlinear measurement models (Q3158731):
Displaying 15 items.
- Prediction error identification of linear systems: a nonparametric Gaussian regression approach (Q627072) (← links)
- Input estimation in nonlinear dynamical systems using differential algebra techniques (Q858943) (← links)
- A new kernel-based approach for linear system identification (Q985267) (← links)
- System identification using kernel-based regularization: new insights on stability and consistency issues (Q1797024) (← links)
- Closed-form expressions and nonparametric estimation of COVID-19 infection rate (Q2125555) (← links)
- Variance function estimation of a one-dimensional nonstationary process (Q2325313) (← links)
- Solutions of nonlinear control and estimation problems in reproducing kernel Hilbert spaces: existence and numerical determination (Q2440812) (← links)
- Bayes and empirical Bayes semi-blind deconvolution using eigenfunctions of a prior covariance (Q2456510) (← links)
- Consistent identification of Wiener systems: a machine learning viewpoint (Q2628481) (← links)
- Stable and robust LQR design via scenario approach (Q2665078) (← links)
- Entanglement accessibility measures for the quantum Internet (Q2677273) (← links)
- Kernel Absolute Summability Is Sufficient but Not Necessary for RKHS Stability (Q3300839) (← links)
- Kernel-based linear system identification: when does the representer theorem hold? (Q6537302) (← links)
- A refinement of the stability test for reproducing kernel Hilbert spaces (Q6546871) (← links)
- Dealing with collinearity in large-scale linear system identification using Gaussian regression (Q6574449) (← links)
