Pages that link to "Item:Q1847952"

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

Displaying 50 items.

• Universal weighted kernel-type estimators for some class of regression models (Q2227200) (← links)
• Uniform convergence rates for wavelet curve estimation in sup-norm loss (Q2229942) (← links)
• Concentration inequalities for two-sample rank processes with application to bipartite ranking (Q2233587) (← links)
• A robust support vector regression with exact predictors and fuzzy responses (Q2237164) (← links)
• ``Regression anytime'' with brute-force SVD truncation (Q2240846) (← links)
• Almost optimal estimates for approximation and learning by radial basis function networks (Q2251472) (← links)
• Learning sets with separating kernels (Q2252512) (← links)
• An approximation scheme for stochastic controls in continuous time (Q2257619) (← links)
• An algorithm for the estimation of a regression function by continuous piecewise linear functions (Q2268929) (← links)
• Nonparametric nonlinear regression using polynomial and neural approximators: a numerical comparison (Q2271788) (← links)
• Sampling discretization error of integral norms for function classes (Q2274411) (← links)
• Stochastic differential games: a sampling approach via FBSDEs (Q2280204) (← links)
• Global and local two-sample tests via regression (Q2283577) (← links)
• Semiparametric estimation for the non-mixture cure model in case-cohort and nested case-control studies (Q2291304) (← links)
• Some new bounds on the entropy numbers of diagonal operators (Q2291480) (← links)
• Efficient estimation in single index models through smoothing splines (Q2295045) (← links)
• Adaptive Bayesian nonparametric regression using a kernel mixture of polynomials with application to partial linear models (Q2297237) (← links)
• Neural random forests (Q2300087) (← links)
• Regression function estimation on non compact support in an heteroscesdastic model (Q2303034) (← links)
• Nonparametric quantile estimation using surrogate models and importance sampling (Q2303750) (← links)
• Estimating quantiles in imperfect simulation models using conditional density estimation (Q2304240) (← links)
• Gradient-based optimization for regression in the functional tensor-train format (Q2312177) (← links)
• On deep learning as a remedy for the curse of dimensionality in nonparametric regression (Q2313286) (← links)
• A difference of convex optimization algorithm for piecewise linear regression (Q2313774) (← links)
• On multilevel Picard numerical approximations for high-dimensional nonlinear parabolic partial differential equations and high-dimensional nonlinear backward stochastic differential equations (Q2316188) (← links)
• Aggregation using input-output trade-off (Q2317264) (← links)
• Estimation of conditional quantiles from data with additional measurement errors (Q2317284) (← links)
• Nonparametric regression when estimating the probability of success: a comparison of four extant estimators (Q2320777) (← links)
• Recursive kernel density estimation and optimal bandwidth selection under \(\alpha\): mixing data (Q2322055) (← links)
• A kernel regression procedure in the 3D shape space with an application to online sales of children's wear (Q2325634) (← links)
• Importance sampling and its optimality for stochastic simulation models (Q2326062) (← links)
• Mean estimation and regression under heavy-tailed distributions: A survey (Q2329044) (← links)
• On the strong universal consistency of local averaging regression estimates (Q2330533) (← links)
• On universal estimators in learning theory (Q2342272) (← links)
• The effect of splitting on random forests (Q2347711) (← links)
• Estimation of a regression function corresponding to latent~variables (Q2348106) (← links)
• Discrete least-squares approximations over optimized downward closed polynomial spaces in arbitrary dimension (Q2359687) (← links)
• Stable splittings of Hilbert spaces of functions of infinitely many variables (Q2360671) (← links)
• Asymptotic confidence intervals for Poisson regression (Q2373450) (← links)
• Local Rademacher complexities and oracle inequalities in risk minimization. (2004 IMS Medallion Lecture). (With discussions and rejoinder) (Q2373576) (← links)
• Data-driven \(k\)NN estimation in nonparametric functional data analysis (Q2374407) (← links)
• Statistical estimation with model selection (Q2385788) (← links)
• Asymptotic normality of recursive estimators under strong mixing conditions (Q2392828) (← links)
• A geometrical approach to iterative isotone regression (Q2396476) (← links)
• Nonparametric estimation of a conditional density (Q2397051) (← links)
• Nonparametric estimation of a function from noiseless observations at random points (Q2401355) (← links)
• Nonparametric recursive estimation of the derivative of the regression function with application to sea shores water quality (Q2417985) (← links)
• Quantitative bounds for concentration-of-measure inequalities and empirical regression: the independent case (Q2422732) (← links)
• Distributed fault diagnosis of networked dynamical systems with time-varying topology (Q2423986) (← links)
• Some functional large deviations principles in nonparametric function estimation (Q2428539) (← links)