Non parametric estimations of the conditional density and mode when the regressor and the response are curves
From MaRDI portal
Publication:6114246
DOI10.1080/03610926.2021.1998831OpenAlexW3211847141MaRDI QIDQ6114246
Zoulikha Kaid, Mohamed Alahiane, Ali Laksaci, Idir Ouassou, Mustapha Rachdi
Publication date: 11 July 2023
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2021.1998831
entropykernel estimationconditional modefunctional data analysisdouble-kernel estimatorderivatives of the conditional density
Cites Work
- Unnamed Item
- On spatial conditional mode estimation for a functional regressor
- Linear prediction in functional data analysis
- Functional linear regression via canonical analysis
- Uniform consistency of a class of regression function estimators for Banach-space valued random variables
- Local smoothing regression with functional data
- Kernel regression estimation in a Banach space
- Changes in atmospheric radiation from the statistical point of view
- Rate of uniform consistency for nonparametric estimates with functional variables
- Nonparametric prediction of a Hilbert space valued random variable
- Linear processes in function spaces. Theory and applications
- Applied functional data analysis. Methods and case studies
- Asymptotic properties of the kernel estimate of spatial conditional mode when the regressor is functional
- Theoretical and practical aspects of the quadratic error in the local linear estimation of the conditional density for functional data
- Functional linear regression with functional response
- Kernel regression estimation when the regressor takes values in metric space
- Asymptotic normality of conditional mode estimation for functional dependent data
- On the local linear modelization of the conditional distribution for functional data
- Uniform rate of strong consistency for a smooth kernel estimator of the conditional mode for censored time series
- Local linear regression modelization when all variables are curves
- Nonparametric functional data analysis. Theory and practice.
- Strong consistency result of a non parametric conditional mode estimator under random censorship for functional regressors
- FDA: theoretical and practical efficiency of the local linear estimation based on the kNN smoothing of the conditional distribution when there are missing data
- Functional data: local linear estimation of the conditional density and its application
- Asymptotic normality of a nonparametric estimator of the conditional mode function for functional data