Nonparametric relative error regression for spatial random variables
From MaRDI portal
Publication:1685285
DOI10.1007/s00362-015-0735-6zbMath1383.62107OpenAlexW2212329321MaRDI QIDQ1685285
Nafissa Messabihi, Ali Laksaci, Mohammed Attouch
Publication date: 13 December 2017
Published in: Statistical Papers (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00362-015-0735-6
Inference from spatial processes (62M30) Random fields; image analysis (62M40) Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20) Nonparametric tolerance and confidence regions (62G15)
Related Items (13)
Nonparametric relative recursive regression ⋮ On nonparametric conditional quantile estimation for non-stationary random fields ⋮ Strong consistency of the local linear relative regression estimator for censored data ⋮ The k nearest neighbors smoothing of the relative-error regression with functional regressor ⋮ Single-index relative error regression models ⋮ Asymptotic properties of nonparametric quantile estimation with spatial dependency ⋮ Relative error prediction: Strong uniform consistency for censoring time series model ⋮ Relative error prediction in nonparametric deconvolution regression model ⋮ Unnamed Item ⋮ Unnamed Item ⋮ Strong convergence of the functional nonparametric relative error regression estimator under right censoring ⋮ Relative error prediction for twice censored data ⋮ Sure independence screening in the presence of missing data
Cites Work
- Consistency of a nonparametric conditional mode estimator for random fields
- Air quality parameters outliers detection using functional data analysis in the Langreo urban area (northern Spain)
- A new method to build spatio-temporal covariance functions: analysis of ozone data
- General relative error criterion and M-estimation
- Local linear spatial quantile regression
- Asymptotic theory for nonparametric regression with spatial data
- Model-based geostatistics.
- Kernel regression estimation for random fields
- Kernel density estimation on random fields
- Kernel regression estimation for continuous spatial processes
- Relative error prediction via kernel regression smoothers
- Nonparametric estimation of conditional expectation
- Robust nonparametric estimation for spatial regression
- Robust quantile estimation and prediction for spatial processes
- Mixing: Properties and examples
- Kernel density estimation for random fields. (Density estimation for random fields)
- Spatial kernel regression estimation: weak consistency
- Nonparametric spatial prediction
- Relative squared error prediction in the generalized linear regression model
- Spatial mode estimation for functional random fields with application to bioturbation problem
- Identification of local multivariate outliers
- Asymptotic normality of kernel estimates in a regression model for random fields
- L1-estimation for spatial nonparametric regression
- Prediction, Linear Regression and the Minimum Sum of Relative Errors
This page was built for publication: Nonparametric relative error regression for spatial random variables