Brief Finite sample properties of system identification of ARX models under mixing conditions
Automatica (Journal of IFAC)
Nonasymptotic confidence sets of prescribed dimensions for parameters of nonlinear regressions
Automation and Remote Control
Non-asymptotic confidence regions for model parameters in the presence of unmodelled dynamics
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
Guaranteed non-asymptotic confidence regions in system identification
Automatica (Journal of IFAC)
Non-asymptotic quality assessment of generalised FIR models with periodic inputs
Automatica (Journal of IFAC)
From experiment design to closed-loop control
Automatica (Journal of IFAC)
Hi-index | 22.15 |
In this paper, we consider the finite sample properties of least-squares system identification, and derive non-asymptotic confidence ellipsoids for the estimate. The shape of the confidence ellipsoids is similar to the shape of the ellipsoids derived using asymptotic theory, but unlike asymptotic theory, they are valid for a finite number of data points. The probability that the estimate belongs to a certain ellipsoid has a natural dependence on the volume of the ellipsoid, the data generating mechanism, the model order and the number of data points available.