Pages that link to "Item:Q4544753"

The following pages link to Nonparametric regression estimation using penalized least squares (Q4544753):

Displaying 40 items.

• Estimation of a distribution from data with small measurement errors (Q372132) (← links)
• Optimal global rates of convergence for interpolation problems with random design (Q383853) (← links)
• Nonparametric estimation of non-stationary velocity fields from 3D particle tracking velocimetry data (Q434925) (← links)
• Rates of convergence for the \(k\)-nearest neighbor estimators with smoother regression functions (Q447616) (← links)
• Optimal global rates of convergence for noiseless regression estimation problems with adaptively chosen design (Q458651) (← links)
• Penalized least squares estimation with weakly dependent data (Q525888) (← links)
• Consistent least squares nonparametric regression (Q578796) (← links)
• \(L_1\)-consistent estimation of the density of residuals in random design regression models (Q654496) (← links)
• Strongly consistent density estimation of the regression residual (Q712519) (← links)
• Nonparametric estimation of a latent variable model (Q730430) (← links)
• Estimation of a jump point in random design regression (Q900565) (← links)
• Optimal global rates of convergence for nonparametric regression with unbounded data (Q998985) (← links)
• Prediction from randomly right censored data (Q1599072) (← links)
• Estimation of the optimal design of a nonlinear parametric regression problem via Monte Carlo experiments (Q1621200) (← links)
• On estimation of surrogate models for multivariate computer experiments (Q1733118) (← links)
• Nonparametric quantile estimation using importance sampling (Q1744716) (← links)
• Non-metric partial least squares (Q1950875) (← links)
• A regression-based smoothing spline Monte Carlo algorithm for pricing American options in discrete time (Q2006839) (← links)
• Least-square regularized regression with non-iid sampling (Q2272113) (← links)
• Nonparametric quantile estimation using surrogate models and importance sampling (Q2303750) (← links)
• Relative error prediction for twice censored data (Q2304847) (← links)
• Nonparametric relative regression under random censorship model (Q2322636) (← links)
• On the strong universal consistency of local averaging regression estimates (Q2330533) (← links)
• Estimation of a regression function corresponding to latent~variables (Q2348106) (← links)
• Asymptotic confidence intervals for Poisson regression (Q2373450) (← links)
• Nonparametric estimation of a function from noiseless observations at random points (Q2401355) (← links)
• Rates of convergence for partitioning and nearest neighbor regression estimates with unbounded data (Q2489756) (← links)
• Smoothing spline regression estimation based on real and artificial data (Q2516570) (← links)
• Nonparametric regression penalizing deviations from additivity (Q2569242) (← links)
• Probability estimation with machine learning methods for dichotomous and multicategory outcome: theory (Q2875744) (← links)
• Estimation of a density in a simulation model (Q3455248) (← links)
• Necessary and sufficient conditions for the pointwise convergence of nearest neighbor regression function estimates (Q3942221) (← links)
• Nonparametric regression estimation at design poles and zeros (Q4344830) (← links)
• A note on penalized minimum distance estimation in nonparametric regression (Q4470643) (← links)
• (Q4778799) (← links)
• Adaptive density estimation based on real and artificial data (Q5256275) (← links)
• Fixed-design regression estimation based on real and artificial data (Q5299875) (← links)
• (Q5490875) (← links)
• Estimation of extreme quantiles in a simulation model (Q5742402) (← links)
• Nonparametric regression with adaptive truncation via a convex hierarchical penalty (Q5742756) (← links)