Pages that link to "Item:Q5946160"

The following pages link to On consistency of kernel density estimators for randomly censored data: Rates holding uniformly over adaptive intervals (Q5946160):

Displaying 50 items.

• A general result on the uniform in bandwidth consistency of kernel-type function estimators (Q261466) (← links)
• Empirical and multiplier bootstraps for suprema of empirical processes of increasing complexity, and related Gaussian couplings (Q335636) (← links)
• Maximum likelihood estimator for cumulative incidence functions under proportionality con\-straint (Q354227) (← links)
• Uniform-in-bandwidth kernel estimation for censored data (Q389245) (← links)
• Gaussian approximation of suprema of empirical processes (Q464197) (← links)
• Consistency of kernel density estimators for causal processes (Q476939) (← links)
• Pricing Bermudan options by nonparametric regression: optimal rates of convergence for lower estimates (Q484205) (← links)
• Asymptotics for panel quantile regression models with individual effects (Q528023) (← links)
• Strong approximations for dependent competing risks with independent censoring (Q619083) (← links)
• Adaptive estimation of a distribution function and its density in sup-norm loss by wavelet and spline projections (Q627291) (← links)
• Uniform limit theorems for wavelet density estimators (Q838011) (← links)
• Moderate deviations for deconvolution kernel density estimators with ordinary smooth measurement errors (Q844866) (← links)
• On the uniform consistency of the Bernstein density estimator (Q900920) (← links)
• Asymptotic properties of a conditional quantile estimator with randomly truncated data (Q1000581) (← links)
• An exponential inequality for the distribution function of the kernel density estimator, with applications to adaptive estimation (Q1017888) (← links)
• A note on data-adaptive kernel estimation of the hazard and density function in the random censorship situation (Q1084797) (← links)
• Local convergence of empirical measures in the random censorship situation with application to density and rate estimators (Q1088330) (← links)
• Strong uniform consistency for density estimators from randomly censored data (Q1106584) (← links)
• Moderate deviations and nonparametric inference for monotone functions (Q1650077) (← links)
• Parametrically guided nonparametric density and hazard estimation with censored data (Q1660219) (← links)
• Partial identification and inference in censored quantile regression (Q1668570) (← links)
• Moderate deviations for estimators under exponentially stochastic differentiability conditions (Q1705053) (← links)
• Conditional kernel density estimation for some incomplete data models (Q1753141) (← links)
• A uniform functional law of the logarithm for the local empirical process. (Q1879830) (← links)
• Weighted uniform consistency of kernel density estimators. (Q1889792) (← links)
• Large deviations and moderate deviations for kernel density estimators of directional data (Q1958721) (← links)
• Local robust estimation of the Pickands dependence function (Q1991678) (← links)
• Tests for qualitative features in the random coefficients model (Q2002567) (← links)
• Safe adaptive importance sampling: a mixture approach (Q2039792) (← links)
• Fast generalization error bound of deep learning without scale invariance of activation functions (Q2055056) (← links)
• Inference for high-dimensional varying-coefficient quantile regression (Q2074309) (← links)
• Local linear estimation of the regression function for twice censored data (Q2122827) (← links)
• Nonparametric local linear estimation of the relative error regression function for twice censored data (Q2244597) (← links)
• Rademacher complexity for Markov chains: applications to kernel smoothing and Metropolis-Hastings (Q2325397) (← links)
• Nonparametric robust regression estimation for censored data (Q2359171) (← links)
• Local Rademacher complexities and oracle inequalities in risk minimization. (2004 IMS Medallion Lecture). (With discussions and rejoinder) (Q2373576) (← links)
• Semiparametric two-component mixture model with a known component: an asymptotically normal estimator (Q2437883) (← links)
• Rates of strong uniform consistency for local least squares kernel regression estimators (Q2467389) (← links)
• Moderate deviations and law of the iterated logarithm in \(L_1(\mathbb R^d)\) for kernel density estimators (Q2476888) (← links)
• Concentration inequalities and asymptotic results for ratio type empirical processes (Q2497173) (← links)
• Asymptotic properties of a nonparametric regression function estimator with randomly truncated data (Q2502139) (← links)
• Some asymptotic properties for a smooth kernel estimator of the conditional mode under random censorship (Q2511741) (← links)
• Uniform in bandwidth consistency of kernel-type function estimators (Q2569245) (← links)
• On local \(U\)-statistic processes and the estimation of densities of functions of several sample variables (Q2642743) (← links)
• Risk bounds when learning infinitely many response functions by ordinary linear regression (Q2686603) (← links)
• Moderate Deviations Results for a Symmetry Testing Statistic Based on the Kernel Density Estimator for Directional Data (Q2921850) (← links)
• The \(r\)-th rate of consistency in kernel density estimation for \(\varphi\)-mixed random censored samples (Q2923717) (← links)
• <i>L</i>₁-Consistency of the kernel density estimators based on randomly right censored data (Q3352285) (← links)
• Uniform asymptotics for kernel density estimators with variable bandwidths (Q3589229) (← links)
• Asymptotic properties of the kernel mode estimator under twice censorship model (Q4563535) (← links)