Track irregularity time series analysis and trend forecasting

DOI10.1155/2012/387857zbMath1255.62235OpenAlexW2019361580WikidataQ58700510 ScholiaQ58700510MaRDI QIDQ1925497

Xu Weixiang, Wang Futian, Wang Hanning, Jia Chaolong

Publication date: 18 December 2012

Published in: Discrete Dynamics in Nature and Society (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2012/387857

zbMATH Keywords

Kalman filtering modelstochastic linear AR

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Learning and adaptive systems in artificial intelligence (68T05)

Cites Work

• Time series forecasting using a hybrid ARIMA and neural network model
• A comparison of direct and iterated multistep AR methods for forecasting macroeconomic time series
• A new hybrid artificial neural networks and fuzzy regression model for time series forecasting
• Time series AR modeling with missing observations based on the polynomial transformation
• Forecasting nonlinear time series with a hybrid methodology

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