Parameter values of ARMA models minimising the one-step-ahead prediction error when the true system is not in the model set
From MaRDI portal
Publication:4749053
DOI10.2307/3213814zbMath0511.62103OpenAlexW2313822363MaRDI QIDQ4749053
Publication date: 1983
Published in: Journal of Applied Probability (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.2307/3213814
fittingARMA modelsautoregressive moving average modelsone-step-ahead prediction errorincorrect parametric model
Inference from stochastic processes and prediction (62M20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10)
Related Items (5)
Basic structure of the asymptotic theory in dynamic nonlineaerco nometric models, part i: consistency and approximation concepts ⋮ Quasi score-driven models ⋮ Modeling of time series arrays by multistep prediction or likelihood methods. ⋮ Adaptive Estimation of Periodic First-Order Threshold Autoregressive Model ⋮ Some peculiarities of identification in the presence of model errors
This page was built for publication: Parameter values of ARMA models minimising the one-step-ahead prediction error when the true system is not in the model set