Semiparametric approximation methods in multivariate model selection
From MaRDI portal
Publication:1347855
DOI10.1006/jcom.2001.0591zbMath1004.62035OpenAlexW1985210034MaRDI QIDQ1347855
V. V. Anh, J. T. Gao, Rodney Carl Wolff
Publication date: 2 July 2002
Published in: Journal of Complexity (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1006/jcom.2001.0591
Nonparametric regression and quantile regression (62G08) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Asymptotic properties of nonparametric inference (62G20) Linear regression; mixed models (62J05) General nonlinear regression (62J02)
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Convergence rates for partially splined models
- Convergence rates for parametric components in a partly linear model
- Choice of regressors in nonparametric estimation
- Testing for additivity in nonparametric regression
- Asymptotic Normality of Series Estimators for Nonparametric and Semiparametric Regression Models
- Root-N-Consistent Semiparametric Regression
- Selection of the splined variables and convergence rates in a partial spline model
- KERNEL REGRESSION SMOOTHING OF TIME SERIES
- Nonparametric and Non-Linear Models and Data Mining in time Series: A Case-Study on the Canadian Lynx Data
- SEMIPARAMETRIC TIME SERIES REGRESSION
- Nonparametric tests of linearity for time series
- A BAYESIAN APPROACH TO ESTIMATING AND FORECASTING ADDITIVE NONPARAMETRIC AUTOREGRESSIVE MODELS
This page was built for publication: Semiparametric approximation methods in multivariate model selection