Pages that link to "Item:Q2573911"
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The following pages link to Guaranteed non-asymptotic confidence regions in system identification (Q2573911):
Displaying 29 items.
- Accuracy of linear multiple-input multiple-output (MIMO) models obtained by maximum likelihood estimation (Q417806) (← links)
- System identification of complex and structured systems (Q468318) (← links)
- A counterexample to the uniqueness of the asymptotic estimate in ARMAX model identification via the correlation approach (Q473399) (← links)
- Covariance analysis in SISO linear systems identification (Q510090) (← links)
- Least-squares estimation of a class of frequency functions: a finite sample variance expression (Q856503) (← links)
- Non-asymptotic model quality assessment of transfer functions at multiple frequency points (Q900193) (← links)
- Iterative robust control: speeding up improvement through iterations (Q962180) (← links)
- On resampling and uncertainty estimation in linear system identification (Q980906) (← links)
- Bayesian system identification via Markov chain Monte Carlo techniques (Q985263) (← links)
- Non-asymptotic confidence regions for model parameters in the presence of unmodelled dynamics (Q1049072) (← links)
- Non-asymptotic confidence ellipsoids for the least-squares estimate (Q1614424) (← links)
- Finite sample confidence region for EIV systems using regression model (Q1982809) (← links)
- Bayesian frequentist bounds for machine learning and system identification (Q2097759) (← links)
- Identification of linear systems with multiplicative noise from multiple trajectory data (Q2165992) (← links)
- Facing undermodelling in sign-perturbed-sums system identification (Q2242890) (← links)
- The nonasymptotic confidence set for parameters of a linear control object under an arbitrary external disturbance (Q2261678) (← links)
- Non-asymptotic confidence regions for the parameters of EIV systems (Q2307564) (← links)
- Distribution-free uncertainty quantification for kernel methods by gradient perturbations (Q2320596) (← links)
- Perturbed datasets methods for hypothesis testing and structure of corresponding confidence sets (Q2342551) (← links)
- Asymptotic properties of SPS confidence regions (Q2409160) (← links)
- Optimal experimental design and some related control problems (Q2440603) (← links)
- Parameter identification for nonlinear systems: guaranteed confidence regions through LSCR (Q2467503) (← links)
- Guaranteed non-asymptotic confidence regions in system identification (Q2573911) (← links)
- Guaranteed characterization of exact non-asymptotic confidence regions as defined by LSCR and SPS (Q2628428) (← links)
- Identification of probabilistic system uncertainty regions by explicit evaluation of bias and variance errors (Q4373054) (← links)
- Discussion on: ``Why is resorting to fate wise? A critical look at randomized algorithms in systems and control'' (Q5966130) (← links)
- Non-asymptotic state-space identification of closed-loop stochastic linear systems using instrumental variables (Q6137801) (← links)
- Deep networks for system identification: a survey (Q6659190) (← links)
- Fast iterative sample transfer identification method for dynamic systems under non-identical distribution (Q6664719) (← links)
