Extimation and structure determination of multivariate input systems
DOI10.1016/0047-259X(90)90044-IzbMath0701.62089OpenAlexW2073408854MaRDI QIDQ914310
Publication date: 1990
Published in: Journal of Multivariate Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0047-259x(90)90044-i
transfer functionasymptotic efficiencyConsistencyMcMillan degreeARMAX modelsKronecker indicesmodel selection criterionechelon canonical formmultivariate least squares regressionsparameter specificationparametric modelling of multivariate input output systemsthree stage estimation procedure
Asymptotic properties of parametric estimators (62F12) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Inference from stochastic processes (62M99)
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Cites Work
- Autocorrelation, autoregression and autoregressive approximation
- A universal prior for integers and estimation by minimum description length
- An approach to testing linear time series models
- Estimating the dimension of a linear system
- Estimating the dimension of a model
- Multivariate linear time series models
- REGRESSION, AUTOREGRESSION MODELS
- Refined instrumental variable methods of recursive time-series analysis Part II. Multivariable systems
- Modeling Multiple Times Series with Applications
- Recursive estimation of mixed autoregressive-moving average order
- Some Theorems on Matrix Differentiation with Special Reference to Kronecker Matrix Products
- Some Applications of Matrics in the Theory of Equations
- A new look at the statistical model identification
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