Wavelet estimation for the nonparametric additive model in random design and long-memory dependent errors
From MaRDI portal
Publication:6669474
DOI10.1080/10485252.2023.2296523MaRDI QIDQ6669474
Publication date: 22 January 2025
Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)
Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05)
Cites Work
- Adaptive estimation of an additive regression function from weakly dependent data
- Linear smoothers and additive models
- Optimal estimation in additive regression models
- Regression with random design: a minimax study
- Mean integrated squared error of nonlinear wavelet-based estimators with long memory data
- Wavelet regression in random design with heteroscedastic dependent errors
- Additive regression and other nonparametric models
- Random-design regression under long-range dependent errors
- Fitting a bivariate additive model by local polynomial regression
- On non-equally spaced wavelet regression
- Regression in random design and warped wavelets
- Adaptive simultaneous confidence intervals in non-parametric estimation
- Wavelet shrinkage for nonequispaced samples
- Function estimation via wavelet shrinkage for long-memory data
- Adaptive estimation in autoregression or \(\beta\)-mixing regression via model selection
- On Bernstein-type inequalities for martingales.
- Nonparametric conditional variance and error density estimation in regression models with dependent errors and predictors
- Wavelet estimation for samples with random uniform design
- Optimal estimation of variance in nonparametric regression with random design
- Wavelet-based robust estimation and variable selection in nonparametric additive models
- Confidence bands in density estimation
- Aggregation for Gaussian regression
- Model selection for regression on a random design
- Miscellanea. Efficient estimation of additive nonparametric regression models
- EFFICIENT ESTIMATION OF GENERALIZED ADDITIVE NONPARAMETRIC REGRESSION MODELS
- A kernel method of estimating structured nonparametric regression based on marginal integration
- Anisotropic functional deconvolution for the irregular design: A minimax study
- Nonparametric regression estimation based on spatially inhomogeneous data: minimax global convergence rates and adaptivity
- Model selection and estimation of a component in additive regression
- Local polynomial estimation with a FARIMA-GARCH error process
- Nonparametric regression with dependent errors
This page was built for publication: Wavelet estimation for the nonparametric additive model in random design and long-memory dependent errors
Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6669474)