Pages that link to "Item:Q5438585"
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The following pages link to LARGE AND MODERATE DEVIATIONS PRINCIPLES FOR KERNEL ESTIMATION OF A MULTIVARIATE DENSITY AND ITS PARTIAL DERIVATIVES (Q5438585):
Displaying 15 items.
- Large sample properties of kernel-type score function estimators (Q908630) (← links)
- Large and moderate deviations principles for kernel estimators of the multivariate regression (Q1019536) (← links)
- Moderate deviations and large deviations for kernel density estimators (Q1397966) (← links)
- Moderate deviations of some dependent variables. II: Some kernel estimators (Q1856444) (← links)
- Large deviations for kernel-type empirical distributions. (Q1871252) (← links)
- Moderate and large deviation principles for the hazard rate function kernel estimator under censoring (Q1950696) (← links)
- Large deviations and moderate deviations for kernel density estimators of directional data (Q1958721) (← links)
- Optimal bandwidth selection for recursive Gumbel kernel density estimators (Q2178952) (← links)
- Large and moderate deviation principles for recursive kernel estimators of a regression function for spatial data defined by stochastic approximation method (Q2322619) (← links)
- Moderate deviations for the kernel mode estimator and some applications (Q2573514) (← links)
- Moderate deviation principles for kernel estimator of invariant density in bifurcating Markov chains (Q2689899) (← links)
- Asymptotics for general multivariate kernel density derivative estimators (Q2999751) (← links)
- Some uniform large deviation results in nonparametric function estimation (Q3506264) (← links)
- Principes de grandes déviations pour l’estimateur à noyau de la densité de probabilité (Q4348309) (← links)
- Moderate deviation and large deviation for Wegman-Davies recursive density estimator (Q5122739) (← links)
