Pages that link to "Item:Q1847952"

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

Displaying 50 items.

• A consistent algorithm to solve Lasso, elastic-net and Tikhonov regularization (Q2431337) (← links)
• Optimal convergence rates, Bahadur representation, and asymptotic normality of partitioning estimators (Q2439865) (← links)
• Adaptive estimation in the single-index model via oracle approach (Q2439930) (← links)
• Fast learning from \(\alpha\)-mixing observations (Q2443266) (← links)
• Minimax adaptive dimension reduction for regression (Q2451628) (← links)
• Aggregation for Gaussian regression (Q2456016) (← links)
• On the estimation of regression functions (Q2460485) (← links)
• A dynamic look-ahead Monte Carlo algorithm for pricing Bermudan options (Q2467599) (← links)
• Consistency and robustness of kernel-based regression in convex risk minimization (Q2469652) (← links)
• Consistency of cross validation for comparing regression procedures (Q2473071) (← links)
• Convergence of \(k\) nearest neighbor kernel estimator in nonparametric functional regression (Q2476542) (← links)
• Rodeo: Sparse, greedy nonparametric regression (Q2477052) (← links)
• Approximation by neural networks and learning theory (Q2489152) (← links)
• Rates of convergence for partitioning and nearest neighbor regression estimates with unbounded data (Q2489756) (← links)
• Halton and Hammersley sequences in multivariate nonparametric regression (Q2493801) (← links)
• Strong universal consistency of smooth kernel regression estimates (Q2495328) (← links)
• Nonparametric regression with additional measurement errors in the dependent variable (Q2499087) (← links)
• Nonasymptotic bounds on the \(L_{2}\) error of neural network regression estimates (Q2502135) (← links)
• Leave-one-out cross-validation is risk consistent for Lasso (Q2512895) (← links)
• Convex analysis in the semiparametric model with Bernstein polynomials (Q2513790) (← links)
• Consistency of random forests (Q2515494) (← links)
• Smoothing spline regression estimation based on real and artificial data (Q2516570) (← links)
• Universal consistency of delta estimators (Q2581128) (← links)
• Local Rademacher complexities (Q2583411) (← links)
• Consistent estimation of a general nonparametric regression function in time series (Q2628866) (← links)
• A random forest guided tour (Q2629364) (← links)
• A new instrumental method for dealing with endogenous selection (Q2630145) (← links)
• Global optimization issues in deep network regression: an overview (Q2633536) (← links)
• Multiresolution mode decomposition for adaptive time series analysis (Q2659750) (← links)
• Distribution-free learning theory for approximating submanifolds from reptile motion capture data (Q2666100) (← links)
• An embedded model estimator for non-stationary random functions using multiple secondary variables (Q2676514) (← links)
• Estimation of a regression function on a manifold by fully connected deep neural networks (Q2676904) (← links)
• Conditional regression for single-index models (Q2676954) (← links)
• Should we estimate a product of density functions by a product of estimators? (Q2683188) (← links)
• Risk bounds when learning infinitely many response functions by ordinary linear regression (Q2686603) (← links)
• On the rate of convergence of a deep recurrent neural network estimate in a regression problem with dependent data (Q2692553) (← links)
• Sampling discretization of the uniform norm (Q2700878) (← links)
• Supervised Learning by Support Vector Machines (Q2789826) (← links)
• Nonadaptive quasi-optimal points selection for least squares linear regression (Q2790089) (← links)
• Linear regression MDP scheme for discrete backward stochastic differential equations under general conditions (Q2792367) (← links)
• Measuring the Capacity of Sets of Functions in the Analysis of ERM (Q2805728) (← links)
• Strongly Consistent Detection for Nonparametric Hypotheses (Q2805736) (← links)
• The forward-backward stochastic heat equation: numerical analysis and simulation (Q2818259) (← links)
• Empirical Comparison of Nonparametric Regression Estimates on Real Data (Q2820999) (← links)
• Smoothed Nonparametric Derivative Estimation Based on Weighted Difference Sequences (Q2833355) (← links)
• Stratified regression Monte-Carlo scheme for semilinear PDEs and BSDEs with large scale parallelization on GPUs (Q2833537) (← links)
• Non-Parametric Sequential Estimation of a Regression Function Based on Dependent Observations (Q2854352) (← links)
• Probability estimation with machine learning methods for dichotomous and multicategory outcome: theory (Q2875744) (← links)
• Coefficient regularized regression with non-iid sampling (Q2885538) (← links)
• Consistency of modified kernel regression estimation for functional data (Q2892890) (← links)