Pages that link to "Item:Q1033045"
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The following pages link to Forecasting nonlinear time series with a hybrid methodology (Q1033045):
Displaying 18 items.
- QARIMA: a new approach to prediction in queue theory (Q278391) (← links)
- Hybrid regression model for near real-time urban water demand forecasting (Q313669) (← links)
- Maximum likelihood gradient-based iterative estimation algorithm for a class of input nonlinear controlled autoregressive ARMA systems (Q493928) (← links)
- Model order determination using the Hankel matrix of impulse responses (Q628297) (← links)
- Hybridization of intelligent techniques and ARIMA models for time series prediction (Q835085) (← links)
- Time series forecasting with a nonlinear model and the scatter search meta-heuristic (Q942313) (← links)
- Forecasting time series movement direction with hybrid methodology (Q1658219) (← links)
- Forecasting in nonlinear univariate time series using penalized splines (Q1685198) (← links)
- Track irregularity time series analysis and trend forecasting (Q1925497) (← links)
- Weighted sequential hybrid approaches for time series forecasting (Q2162543) (← links)
- Generalized exponential autoregressive models for nonlinear time series: stationarity, estimation and applications (Q2195454) (← links)
- Partitioning and interpolation based hybrid ARIMA-ANN model for time series forecasting (Q2359869) (← links)
- Exploiting the interpretability and forecasting ability of the RBF-AR model for nonlinear time series (Q2798518) (← links)
- Nonlinear Forecasting Using Factor‐Augmented Models (Q4687303) (← links)
- Hybrid Forecasting with Estimated Temporally Aggregated Linear Processes (Q4687530) (← links)
- A comparative study of series arima/mlp hybrid models for stock price forecasting (Q5087537) (← links)
- Forecasting stock prices using hybrid non-stationary time series model with ERNN (Q6116473) (← links)
- System identification using autoregressive Bayesian neural networks with nonparametric noise models (Q6135347) (← links)