Pages that link to "Item:Q1083806"

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

Displaying 50 items.

• Functional single-index quantile regression models (Q2195823) (← links)
• Nonparametric distributed learning under general designs (Q2199703) (← links)
• Analysis of the rate of convergence of fully connected deep neural network regression estimates with smooth activation function (Q2222227) (← links)
• Nonparametric estimation of infinite order regression and its application to the risk-return tradeoff (Q2224887) (← links)
• Optimal nonparametric inference via deep neural network (Q2235970) (← links)
• A semiparametric latent factor model for large scale temporal data with heteroscedasticity (Q2237806) (← links)
• Inverse regression for longitudinal data (Q2249841) (← links)
• Estimation and model selection in generalized additive partial linear models for correlated data with diverging number of covariates (Q2249842) (← links)
• Adaptive variable selection in nonparametric sparse regression (Q2253981) (← links)
• Tie the straps: uniform bootstrap confidence bands for semiparametric additive models (Q2254165) (← links)
• Testing linearity in semi-parametric functional data analysis (Q2255828) (← links)
• Additive models with trend filtering (Q2284363) (← links)
• Profile statistical inference for partially linear additive models with a diverging number of parameters (Q2287379) (← links)
• Feature screening for ultrahigh-dimensional additive logistic models (Q2301064) (← links)
• A new approach to varying-coefficient additive models with longitudinal covariates (Q2305307) (← links)
• Double machine learning with gradient boosting and its application to the Big \(N\) audit quality effect (Q2305992) (← links)
• On deep learning as a remedy for the curse of dimensionality in nonparametric regression (Q2313286) (← links)
• Sure independence screening in ultrahigh dimensional generalized additive models (Q2317245) (← links)
• Test for heteroscedasticity in partially linear regression models (Q2320630) (← links)
• Application of Bayesian penalized spline regression for internal modeling in life insurance (Q2323667) (← links)
• A kernel regression procedure in the 3D shape space with an application to online sales of children's wear (Q2325634) (← links)
• Doubly penalized estimation in additive regression with high-dimensional data (Q2328052) (← links)
• Bayesian joint semiparametric mean-covariance modeling for longitudinal data (Q2328676) (← links)
• Penalized least squares estimation in the additive model with different smoothness for the components (Q2348102) (← links)
• Assessing white noise assumption with semi-parametric additive partial linear models (Q2359165) (← links)
• Additivity test on the nonlinear part in partially linear models (Q2376610) (← links)
• Nonparametric estimation of an additive model with a link function (Q2388331) (← links)
• Statistical inference for generalized additive models: simultaneous confidence corridors and variable selection (Q2397982) (← links)
• Choosing the most relevant level sets for depicting a sample of densities (Q2403405) (← links)
• Imputation in nonparametric quantile regression with complex data (Q2406788) (← links)
• Feature screening in ultrahigh-dimensional varying-coefficient Cox model (Q2418519) (← links)
• Subgroup analysis for heterogeneous additive partially linear models and its application to car sales data (Q2419161) (← links)
• Efficient estimation of the varying-coefficient partially linear proportional odds model with current status data (Q2422117) (← links)
• Capturing ridge functions in high dimensions from point queries (Q2428577) (← links)
• Estimation and detection of functions from weighted tensor product spaces (Q2439207) (← links)
• Efficient estimation of seemingly unrelated additive nonparametric regression models (Q2439891) (← links)
• Adaptive estimation in the single-index model via oracle approach (Q2439930) (← links)
• Statistical inference in compound functional models (Q2447291) (← links)
• A note on wavelet estimation of the derivatives of a regression function in a random design setting (Q2448838) (← links)
• Estimation and detection of a function from tensor product spaces (Q2451260) (← links)
• Testing for additivity in partially linear regression with possibly missing responses (Q2451618) (← links)
• Nonlinear measurement error models subject to additive distortion (Q2453611) (← links)
• Testing for additivity with B-splines (Q2454657) (← links)
• Robust estimation in generalized semiparametric mixed models for longitudinal data (Q2455470) (← links)
• Spline-backfitted kernel smoothing of nonlinear additive autoregression model (Q2473072) (← links)
• Rate-optimal estimation for a general class of nonparametric regression models with unknown link functions (Q2473076) (← links)
• Smooth backfitting in generalized additive models (Q2477059) (← links)
• Nonparametric inference with generalized likelihood ratio tests (With comments and rejoinder) (Q2477585) (← links)
• Kernel estimation of a partially linear additive model (Q2483871) (← links)
• Estimation in generalized linear models for functional data via penalized likelihood (Q2486170) (← links)