Nonparametric regression estimation for functional stationary ergodic data with missing at random
DOI10.1016/j.jspi.2015.02.001zbMath1314.62102OpenAlexW2004098011MaRDI QIDQ2348105
Philippe Vieu, Longlong Liang, Nengxiang Ling
Publication date: 10 June 2015
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jspi.2015.02.001
asymptotic normalitymissing at randomergodic processesfunctional data analysisregression operatorconvergence in probability
Nonparametric regression and quantile regression (62G08) Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) Nonparametric tolerance and confidence regions (62G15)
Related Items (31)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Nonparametric kernel regression estimation for functional stationary ergodic data: Asymptotic properties
- Rates of strong consistencies of the regression function estimator for functional stationary ergodic data
- Nonparametric regression with responses missing at random
- Curves discrimination: a nonparametric functional approach
- Estimating some characteristics of the conditional distribution in nonparametric functional models
- Functional data analysis
- The functional nonparametric model and applications to spectrometric data
- Strong uniform consistency rates and asymptotic normality of conditional density estimator in the single functional index modeling for time series data
- Missing at random (MAR) in nonparametric regression -- a simulation experiment
- Semiparametric theory and missing data.
- Mean estimation with data missing at random for functional covariables
- Partially linear models with missing response variables and error-prone covariates
- Nonparametric Estimation of Mean Functionals with Data Missing at Random
- Nonparametric models for functional data, with application in regression, time series prediction and curve discrimination
- Dimension fractale et estimation de la régression dans des espaces vectoriels semi-normés
- Nonparametric Regression With Predictors Missing at Random
This page was built for publication: Nonparametric regression estimation for functional stationary ergodic data with missing at random