Generalized exponential autoregressive models for nonlinear time series: stationarity, estimation and applications
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Publication:2195454
DOI10.1016/j.ins.2018.01.029zbMath1440.62328OpenAlexW2792800544WikidataQ115571888 ScholiaQ115571888MaRDI QIDQ2195454
Min Gan, Guang-yong Chen, Guo-Long Chen
Publication date: 8 September 2020
Published in: Information Sciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ins.2018.01.029
time seriesstationary conditionsgeneralized exponential autoregressive (GExpAR)variable projection method
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Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Time series forecasting using a hybrid ARIMA and neural network model
- Modeling and forecasting financial time series with ordered fuzzy candlesticks
- Time series forecasting with a nonlinear model and the scatter search meta-heuristic
- Forecasting nonlinear time series with a hybrid methodology
- Generalized autoregressive conditional heteroscedasticity
- Copulas-based time series combined forecasters
- Using multiple time series analysis for geosensor data forecasting
- Non-linear time series and Markov chains
- On the use of the deterministic Lyapunov function for the ergodicity of stochastic difference equations
- Non-linear time series models for non-linear random vibrations
- Non-linear threshold autoregressive models for non-linear random vibrations
- Modelling nonlinear random vibrations using an amplitude-dependent autoregressive time series model
- Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation
- THE STATISTICAL ANALYSIS OF PERTURBED LIMIT CYCLE PROCESSES USING NONLINEAR TIME SERIES MODELS
- Criteria for classifying general Markov chains
- Separable nonlinear least squares: the variable projection method and its applications
- Functional-Coefficient Autoregressive Models
- Specification, Estimation, and Evaluation of Smooth Transition Autoregressive Models
- The Differentiation of Pseudo-Inverses and Nonlinear Least Squares Problems Whose Variables Separate
- A new look at the statistical model identification
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