Pages that link to "Item:Q1049550"
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The following pages link to Estimation of the regression operator from functional fixed-design with correlated errors (Q1049550):
Displaying 17 items.
- Asymptotic results of a nonparametric conditional cumulative distribution estimator in the single functional index modeling for time series data with applications (Q300515) (← links)
- Regression operator estimation by delta-sequences method for functional data and its applications (Q1633257) (← links)
- Local polynomial estimation of regression operators from functional data with correlated errors (Q1733272) (← links)
- Dependent functional data (Q1952694) (← links)
- Recursive nonparametric regression estimation for dependent strong mixing functional data (Q2023475) (← links)
- Nearest neighbors estimation for long memory functional data (Q2220297) (← links)
- Universal weighted kernel-type estimators for some class of regression models (Q2227200) (← links)
- On the local linear modelization of the conditional distribution for functional data (Q2257033) (← links)
- Dynamical multiple regression in function spaces, under kernel regressors, with ARH(1) errors (Q2273187) (← links)
- Regression models with correlated errors based on functional random design (Q2398076) (← links)
- Local Weighted Average Estimation of the Regression Operator for Functional Data (Q3100639) (← links)
- Nonparametric modelling for functional data: selected survey and tracks for future (Q4579996) (← links)
- Insensitivity of Nadaraya–Watson estimators to design correlation (Q5104494) (← links)
- On sufficient conditions for the consistency of local linear kernel estimators (Q6084893) (← links)
- Towards Insensitivity of Nadaraya--Watson Estimators to Design Correlation (Q6112445) (← links)
- Two-time-scale nonparametric recursive regression estimator for independent functional data (Q6170099) (← links)
- The effect of correlated errors on the performance of local linear estimation of regression function based on random functional design (Q6581337) (← links)