Asymptotic theory for varying coefficient regression models with dependent data
DOI10.1007/s10463-017-0607-zzbMath1420.62167OpenAlexW2185179950MaRDI QIDQ1656859
Soutir Bandyopadhyay, Arnab Maity
Publication date: 10 August 2018
Published in: Annals of the Institute of Statistical Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10463-017-0607-z
kernel smoothingasymptotic theorylocal polynomial estimationdependent datavarying coefficient modelspatially autoregressive errors
Inference from spatial processes (62M30) Nonparametric regression and quantile regression (62G08) Density estimation (62G07) Nonparametric hypothesis testing (62G10) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Asymptotic properties of nonparametric inference (62G20)
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Trending time-varying coefficient time series models with serially correlated errors
- Statistical methods with varying coefficient models
- Asymptotic theory for nonparametric regression with spatial data
- Statistical inference on regression with spatial dependence
- Asymptotic properties of discrete Fourier transforms for spatial data
- Nearest neighbor estimators for random fields
- Interpolation of spatial data. Some theory for kriging
- Maximum likelihood estimation of parameters under a spatial sampling scheme
- Efficient estimation of a semiparametric partially linear varying coefficient model
- Multivariate locally weighted least squares regression
- A semiparametric spatial dynamic model
- Fixed-domain asymptotics for a subclass of Matérn-type Gaussian random fields
- Local linear spatial regression
- Estimating spatial quantile regression with functional coefficients: a robust semiparametric framework
- Spatial econometrics. Statistical foundations and applications to regional convergence.
- Design-adaptive Nonparametric Regression
- Local Regression and Likelihood
- Inhomogeneous Prior Models for Image Reconstruction
- CONSISTENCY AND EFFICIENCY OF LEAST SQUARES ESTIMATION FOR MIXED REGRESSIVE, SPATIAL AUTOREGRESSIVE MODELS
- Fixed-design regression for linear time series
This page was built for publication: Asymptotic theory for varying coefficient regression models with dependent data