On robust forecasting in dynamic vector time series models

DOI10.1016/j.jspi.2008.02.015zbMath1146.62068OpenAlexW2092366977MaRDI QIDQ951052

Christian Gagné, Pierre Duchesne

Publication date: 29 October 2008

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2008.02.015

zbMATH Keywords

predictionadditive outliersrobust estimatorsmultivariate time seriesexogenous variables

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Estimation in multivariate analysis (62H12) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Asymptotic distribution theory in statistics (62E20) Robustness and adaptive procedures (parametric inference) (62F35)

Related Items (1)

Robust modelling of periodic vector autoregressive time series

Cites Work

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• VAR forecasting under misspecification
• Prediction mean square error for non-stationary multivariate time series using estimated parameters
• Predictions from ARMAX models
• An overview of bootstrap methods for estimating and predicting in time series
• Robust Estimation in Vector Autoregressive Moving-Average Models
• Asymptotic prediction mean squared error for vector autoregressive models
• Properties of Predictors in Misspecified Autoregressive Time Series Models
• Prediction Mean Squared Error for State Space Models with Estimated Parameters
• Robust tests for time series with an application to first-order autoregressive processes
• Robust multiple time series modelling
• On the Strong Law of Large Numbers and Related Results for Quasi-Stationary Sequences
• On the Treatment of Autocorrelated Errors in the Multiperiod Prediction of Dynamic Simultaneous Equation Models
• Prediction from the Dynamic Simultaneous Equation Model with Vector Autoregressive Errors
• Predictions of multivariate autoregressive-moving average models
• Some Small Sample Evidence on the Distribution of Dynamic Simulation Forecasts
• The adjustment of prediction intervals to account for errors in parameter estimation
• Robust and powerful serial correlation tests with new robust estimates in ARX models
• Robust estimation of signal amplitude
• Forecasting time series with sieve bootstrap

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