Pages that link to "Item:Q1847952"

The following pages link to A distribution-free theory of nonparametric regression (Q1847952):

Displaying 50 items.

• Density estimation by the penalized combinatorial method (Q558002) (← links)
• Monte Carlo algorithms for optimal stopping and statistical learning (Q558680) (← links)
• On the layered nearest neighbour estimate, the bagged nearest neighbour estimate and the random forest method in regression and classification (Q604365) (← links)
• Sensitivities for Bermudan options by regression methods (Q604677) (← links)
• \(L_{2}\) boosting in kernel regression (Q605014) (← links)
• Generalized density clustering (Q605923) (← links)
• Classification when the covariate vectors have unequal dimensions (Q629136) (← links)
• Nonparametric benchmark analysis in risk assessment: a comparative study by simulation and data analysis (Q641804) (← links)
• Least squares estimators of the regression function with twice censored data (Q643224) (← links)
• Regularized least-squares regression: learning from a sequence (Q645620) (← links)
• \(L_1\)-consistent estimation of the density of residuals in random design regression models (Q654496) (← links)
• Robust linear least squares regression (Q661182) (← links)
• On adaptive estimators in statistical learning theory (Q666555) (← links)
• Optimal rates for regularization of statistical inverse learning problems (Q667648) (← links)
• Learning rates for kernel-based expectile regression (Q669274) (← links)
• A large deviation inequality for \(\beta\)-mixing time series and its applications to the functional kernel regression model (Q680473) (← links)
• Consistent learning by composite proximal thresholding (Q681492) (← links)
• Analysis of least squares regression estimates in case of additional errors in the variables (Q710765) (← links)
• Strongly consistent density estimation of the regression residual (Q712519) (← links)
• Asymptotics of cross-validated risk estimation in estimator selection and performance assess\-ment (Q713643) (← links)
• Partitioning estimation of local variance based on nearest neighbors under censoring (Q725665) (← links)
• A sparse grid based method for generative dimensionality reduction of high-dimensional data (Q729476) (← links)
• Nonparametric estimation of a latent variable model (Q730430) (← links)
• Instance-optimality in probability with an \(\ell _1\)-minimization decoder (Q734324) (← links)
• Uniform limit laws of the logarithm for nonparametric estimators of the regression function in presence of censored data (Q734568) (← links)
• Nonparametric regression with interval-censored data (Q741219) (← links)
• Multilevel Monte Carlo methods and lower-upper bounds in initial margin computations (Q777908) (← links)
• The asymptotic normality of internal estimator for nonparametric regression (Q824757) (← links)
• EM algorithm for the additive risk mixture cure model with interval-censored data (Q825204) (← links)
• Quasi-random sampling for signal recovery (Q838026) (← links)
• Upper bounds for errors of estimators in a problem of nonparametric regression: the adaptive case and the case of unknown measure \(\rho _X\) (Q845198) (← links)
• Pointwise universal consistency of nonparametric density estimators (Q850715) (← links)
• Rate of convergence of an empirical regression method for solving generalized backward stochastic differential equations (Q882887) (← links)
• Convergence estimates in probability and in expectation for discrete least squares with noisy evaluations at random points (Q893175) (← links)
• Estimation of a jump point in random design regression (Q900565) (← links)
• Bias-corrected inference for multivariate nonparametric regression: model selection and oracle property (Q900793) (← links)
• A universal strong law of large numbers for conditional expectations via nearest neighbors (Q928847) (← links)
• Multivariate orthogonal series estimates for random design regression (Q935455) (← links)
• A \(k\)-nearest neighbor approach for functional regression (Q935822) (← links)
• Choice of neighbor order in nearest-neighbor classification (Q955133) (← links)
• Structural adaptation via \(\mathbb L_p\)-norm oracle inequalities (Q957721) (← links)
• Learning from dependent observations (Q958916) (← links)
• Statistical analysis of \(k\)-nearest neighbor collaborative recommendation (Q973879) (← links)
• A survey of cross-validation procedures for model selection (Q975579) (← links)
• Strong consistency of kernel estimates of regression function under dependence (Q984002) (← links)
• Fast learning rates for plug-in classifiers (Q995418) (← links)
• Optimal global rates of convergence for nonparametric regression with unbounded data (Q998985) (← links)
• Kernel regression estimation in a Banach space (Q998998) (← links)
• Global identification of nonlinear Hammerstein systems by recursive kernel approach (Q999904) (← links)
• Nonparametric and nonlinear reconstruction of surfaces from qualitative observations (Q999905) (← links)