On cross-correlogram IRF’s estimators of two-output systems in spaces of continuous functions
From MaRDI portal
Publication:5079192
DOI10.1080/03610926.2020.1738490OpenAlexW2921150486MaRDI QIDQ5079192
Irina Blazhievska, Vladimir Zaiats
Publication date: 25 May 2022
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1903.06446
comparison principleentropy methodimpulse response functionlinear time-invariant systemsquare-Gaussian processcross-correlogramprokhorov theorem
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- On covariance function tests used in system identification
- Comparison theorems and asymptotic behavior of correlation estimators in spaces of continuous functions. II
- Nonlinear black-box modeling in system identification: A unified overview
- Signal analysis of impulse response functions in MR and CT measurements of cerebral blood flow
- Limit theorems for additive functionals of stationary fields, under integrability assumptions on the higher order spectral densities
- Statistical inference using higher-order information
- On the estimation of transfer functions, regularizations and Gaussian processes-revisited
- Comparison inequalities on Wiener space
- Adaptive nonlinear system identification. The Volterra and Wiener model approaches.
- Asymptotic normality of cross-correlogram estimates of the response function
- Sample functions of the Gaussian process
- Gaussian processes for time-series modelling
- Cross-correlogram estimators of impulse response functions
- On a Szegö type limit theorem, the Hölder-Young-Brascamp-Lieb inequality, and the asymptotic theory of integrals and quadratic forms of stationary fields
- Online Dictionary Learning for Kernel LMS
- Statistical hypothesis testing for the shape of impulse response function
- On asymptotic normality of estimates for correlation functions of stationary Gaussian processes in the space of continuous functions
- Estimation of impulse response functions in two-output systems
This page was built for publication: On cross-correlogram IRF’s estimators of two-output systems in spaces of continuous functions