Pages that link to "Item:Q433596"
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The following pages link to A functional linear model for time series prediction with exogenous variables (Q433596):
Displaying 12 items.
- Detecting and estimating intensity of jumps for discretely observed \(\mathrm{ARMA}D(1,1)\) processes (Q268739) (← links)
- Multivariate functional linear regression and prediction (Q268779) (← links)
- Combining endogenous and exogenous variables in a special case of non-parametric time series forecasting model (Q309148) (← links)
- A control function approach for testing the usefulness of trending variables in forecast models and linear regression (Q737994) (← links)
- Functional additive regression (Q888512) (← links)
- Classification methods for Hilbert data based on surrogate density (Q1659194) (← links)
- Interaction models for functional regression (Q1660166) (← links)
- Regularised forecasting via smooth-rough partitioning of the regression coefficients (Q2002584) (← links)
- Generalized additive models for functional data (Q2392916) (← links)
- Choosing the most relevant level sets for depicting a sample of densities (Q2403405) (← links)
- Nonparametric time series prediction: A semi-functional partial linear modeling (Q2482131) (← links)
- Peak-Load Forecasting Using a Functional Semi-Parametric Approach (Q2787363) (← links)
