Finding 3795Emerging EvidenceValidation V0
Combining randomized data generation, extensive simulation, cross-validation, and bootstrap methods, the study refines definitions of controllability and noise-conditioning, while acknowledging limitations regarding specific system configurations and broader applicability in practice.
68%Confidence
1Evidence objects
v1Version
DraftStatus
Evidence trail
Supporting68% linkage confidence
Combining randomized data generation, extensive simulation, cross-validation, and bootstrap methods, the study refines definitions of controllability and noise-conditioning, while acknowledging limitations regarding specific system configurations and broader applicability in practice.
key_findings bullet 3 · key_findings
Inspect source: Empirical validation of novel non-asymptotic bounds on the least squares estimator for LTI systems with applications in economics →This Finding was extracted from the configured corpus. It is versioned, traceable, and may evolve through editorial review or new corpus evidence.