Pages that link to "Item:Q1092555"
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The following pages link to Necessary and sufficient consistency conditions for a recursive kernel regression estimate (Q1092555):
Displaying 13 items.
- Nonparametric semirecursive identification in a wide sense of strong mixing processes (Q619515) (← links)
- Recurrent nonparametric estimation of functions from functionals of multidimensional density and their derivatives (Q1027710) (← links)
- Necessary conditions of \(L_ 1\)-convergence of kernel regression estimators (Q1111288) (← links)
- On the almost everywhere properties of the kernel regression estimate (Q1207632) (← links)
- Recursive nonparametric identification of Hammerstein systems (Q1263562) (← links)
- On the strong universal consistency of a recursive regression estimate by Pál Révész (Q1359720) (← links)
- Asymptotic normality for \(L_1\) norm kernel estimator of conditional median under \(\alpha\)-mixing dependence (Q1570294) (← links)
- Recursive local polynomial regression under dependence conditions (Q1580822) (← links)
- Asymptotic normality of recursive estimators under strong mixing conditions (Q2392828) (← links)
- Recursive regression estimators with application to nonparametric prediction (Q2892921) (← links)
- Consistencia de un estimador no parametrico, recursivo, de la regresion bajo condiciones generales (Q4012364) (← links)
- A simple scheme for semi-recursive identification of Hammerstein system nonlinearity by Haar wavelets (Q5396426) (← links)
- Recursive kernel estimator in a semiparametric regression model (Q5881429) (← links)
