Bootstrapping Periodic State-Space Models
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Publication:5252835
DOI10.1080/03610918.2013.777737zbMath1328.62518OpenAlexW2014258962MaRDI QIDQ5252835
Hafida Guerbyenne, Fayçal Hamdi
Publication date: 3 June 2015
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610918.2013.777737
bootstrapforecastingprediction regionbackward representationfinite sample distributionsperiodic state-space models\textit{PVARMA} modelsperiodic Chandrasekhar filter
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Nonparametric estimation (62G05)
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Uses Software
Cites Work
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- Bootstrap prediction regions for multivariate autoregressive processes
- Bootstrap prediction for returns and volatilities in GARCH models
- Bootstrap methods: another look at the jackknife
- Spectral factorization of linear periodic systems with application to the optimal prediction of periodic ARMA models
- On modelling and diagnostic checking of vector periodic autoregressive time series models
- Bootstrap prediction intervals in state-space models
- Bootstrap prediction bands for forecast paths from vector autoregressive models
- A State space approach to bootstrapping conditional forecasts in arma models
- A Note on Calculating Autocovariances of PeriodicARMAModels
- Calculating the autocovariances and the likelihood for periodic V ARMA models
- PARAMETER ESTIMATION FOR PERIODIC ARMA MODELS
- Saving computer time in constructing consistent bootstrap prediction intervals for autoregressive processes
- Bootstrap predictive inference for ARIMA processes
- Periodic Time Series Models
- Parsimony, Model Adequacy and Periodic Correlation in Time Series Forecasting
