Non-stationary q-dependent processes and time-varying moving-average models: invertibility properties and the forecasting problem
DOI10.2307/1427242zbMath0597.62096OpenAlexW2092071423MaRDI QIDQ3730890
Publication date: 1986
Published in: Advances in Applied Probability (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.2307/1427242
spectral factorizationinvertibilityforecastingseriesasymptotically efficientforecastsmatrix difference equationsadjoint operatorsmoving-average processWold-Cramér decompositiondominated solutionsGreen's matricesborderline non- invertible modelsGranger-Andersen invertibilitymatrix generalization of continued fractionsnon-stationary timetime-varying moving-average models
Inference from stochastic processes and prediction (62M20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) General second-order stochastic processes (60G12) Additive difference equations (39A10)
Related Items (21)
Uses Software
This page was built for publication: Non-stationary q-dependent processes and time-varying moving-average models: invertibility properties and the forecasting problem