Pages that link to "Item:Q1397966"

The following pages link to Moderate deviations and large deviations for kernel density estimators (Q1397966):

Displaying 37 items.

• Pointwise and uniform moderate deviations for nonparametric regression function estimator on functional data (Q385103) (← links)
• Moderate deviations for some nonparametric estimators with errors in variables (Q426710) (← links)
• Moderate deviations principle for the kernel estimator of nonrandom regression functions (Q505606) (← links)
• Delta method in large deviations and moderate deviations for estimators (Q548555) (← links)
• Moderate deviations for densities in \(R^ k\) (Q800024) (← links)
• Moderate deviations for deconvolution kernel density estimators with ordinary smooth measurement errors (Q844866) (← links)
• Large deviations of kernel density estimator in \(L^1(\mathbb R^d)\) for reversible Markov processes (Q850729) (← links)
• Quantitative concentration inequalities for empirical measures on non-compact spaces (Q863484) (← links)
• Moderate deviations and large deviations for a test of symmetry based on kernel density estimator (Q1003984) (← links)
• Large deviations for the \(L_1\)-distance in kernel density estimation (Q1591278) (← links)
• Moderate deviations and nonparametric inference for monotone functions (Q1650077) (← links)
• Moderate and large deviations for the smoothed estimate of sample quantiles (Q1657911) (← links)
• Large and moderate deviations for kernel-type estimators of the mean density of Boolean models (Q1697483) (← 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)
• A review of the mean field limits for Vlasov equations (Q2347625) (← links)
• Moderate deviations for quadratic forms in Gaussian stationary processes (Q2372140) (← links)
• Some functional large deviations principles in nonparametric function estimation (Q2428539) (← links)
• Moderate deviations and law of the iterated logarithm in \(L_1(\mathbb R^d)\) for kernel density estimators (Q2476888) (← links)
• Large deviations of kernel density estimator in \(L^1(\mathbb R^d)\) for uniformly ergodic Markov processes (Q2485826) (← links)
• Nonparametric regression penalizing deviations from additivity (Q2569242) (← 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)
• Moderate Deviations Results for a Symmetry Testing Statistic Based on the Kernel Density Estimator for Directional Data (Q2921850) (← links)
• Sharp large deviations in nonparametric estimation (Q3423584) (← links)
• Some uniform large deviation results in nonparametric function estimation (Q3506264) (← links)
• WASSERSTEIN DISTANCES FOR VORTICES APPROXIMATION OF EULER-TYPE EQUATIONS (Q3638807) (← links)
• Large Deviations Limit Theorems for the Kernel Density Estimator (Q3842761) (← links)
• Principes de grandes déviations pour l’estimateur à noyau de la densité de probabilité (Q4348309) (← links)
• (Q5081626) (← links)
• Moderate deviation and large deviation for Wegman-Davies recursive density estimator (Q5122739) (← links)
• (Q5198287) (← links)
• LARGE AND MODERATE DEVIATIONS PRINCIPLES FOR KERNEL ESTIMATION OF A MULTIVARIATE DENSITY AND ITS PARTIAL DERIVATIVES (Q5438585) (← links)
• Moderate deviation principle for stochastic reaction-diffusion systems with multiplicative noise and non-Lipschitz reaction (Q5880138) (← links)
• Nonparametric log kernel estimator of extropy function (Q6066375) (← links)