Pages that link to "Item:Q1083806"

The following pages link to Additive regression and other nonparametric models (Q1083806):

Displaying 50 items.

• How well can a regression function be estimated if the distribution of the (random) design is concentrated on a finite set? (Q1877843) (← links)
• Optimal global rates of convergence of \(M\)-estimates for multivariate nonparametric regression (Q1899014) (← links)
• A Monte Carlo strategy for data-based mathematical modeling (Q1903397) (← links)
• Testing for additivity in nonparametric regression (Q1922370) (← links)
• Additive covariance kernels for high-dimensional Gaussian process modeling (Q1931808) (← links)
• Age dynamics and economic growth: revisiting the nexus in a nonparametric setting (Q1934710) (← links)
• Simultaneous variable selection and estimation in semiparametric modeling of longitudinal/clustered data (Q1940758) (← links)
• An informative subset-based estimator for censored quantile regression (Q1946879) (← links)
• Fixed and random effects selection in nonparametric additive mixed models (Q1950841) (← links)
• Detection of sparse additive functions (Q1950867) (← links)
• Lower bound in regression for functional data by representation of small ball probabilities (Q1950878) (← links)
• PAC-Bayesian estimation and prediction in sparse additive models (Q1951111) (← links)
• Uniform limit laws of the logarithm for estimators of the additive regression function in the presence of right censored data (Q1951761) (← links)
• Semiparametric additive transformation model under current status data (Q1952246) (← links)
• Quantile-adaptive model-free variable screening for high-dimensional heterogeneous data (Q1952454) (← links)
• Integration and backfitting methods in additive models -- finite sample properties and comparison (Q1969432) (← links)
• A parallel solver for generalised additive models (Q1978411) (← links)
• Over-parametrized deep neural networks minimizing the empirical risk do not generalize well (Q1983625) (← links)
• Nonparametric imputation method for nonresponse in surveys (Q1985959) (← links)
• Nonlinear measurement errors models subject to partial linear additive distortion (Q1994028) (← links)
• Penalized weighted composite quantile regression for partially linear varying coefficient models with missing covariates (Q1995860) (← links)
• M-based simultaneous inference for the mean function of functional data (Q2000741) (← links)
• Spline estimator for ultra-high dimensional partially linear varying coefficient models (Q2000746) (← links)
• Empirical likelihood based inference for generalized additive partial linear models (Q2007505) (← links)
• A weighted sieve estimator for nonparametric time series models with nonstationary variables (Q2024458) (← links)
• An optimal test for the additive model with discrete or categorical predictors (Q2027221) (← links)
• A selective overview of deep learning (Q2038303) (← links)
• Estimation of an improved surrogate model in uncertainty quantification by neural networks (Q2042433) (← links)
• Additive regression for predictors of various natures and possibly incomplete Hilbertian responses (Q2044344) (← links)
• A penalized likelihood approach for efficiently estimating a partially linear additive transformation model with current status data (Q2044377) (← links)
• On the rate of convergence of fully connected deep neural network regression estimates (Q2054491) (← links)
• Estimation for functional linear semiparametric model (Q2062413) (← links)
• Wavelet-based robust estimation and variable selection in nonparametric additive models (Q2066754) (← links)
• Statistical inference on uncertain nonparametric regression model (Q2070753) (← links)
• Structural adaptation in the density model (Q2078963) (← links)
• Nonparametric variable screening for multivariate additive models (Q2079611) (← links)
• Estimation for partial functional partially linear additive model (Q2084069) (← links)
• Stochastic continuum-armed bandits with additive models: minimax regrets and adaptive algorithm (Q2091834) (← links)
• A robust spline approach in partially linear additive models (Q2101391) (← links)
• A sieve stochastic gradient descent estimator for online nonparametric regression in Sobolev ellipsoids (Q2105198) (← links)
• Nonparametric and high-dimensional functional graphical models (Q2106795) (← links)
• Estimation for partially linear additive regression with spatial data (Q2110355) (← links)
• Simultaneous confidence bands and global inferences for extended partially linear single-index models (Q2110826) (← links)
• Penalized polygram regression (Q2111959) (← links)
• RCV-based error density estimation in the ultrahigh dimensional additive model (Q2133638) (← links)
• Deep learning for the partially linear Cox model (Q2148978) (← links)
• Smoothed partially linear quantile regression with nonignorable missing response (Q2151592) (← links)
• Semiparametric model averaging prediction for dichotomous response (Q2155291) (← links)
• Asymptotics for M-type smoothing splines with non-smooth objective functions (Q2161018) (← links)
• Automatic identification of curve shapes with applications to ultrasonic vocalization (Q2189587) (← links)