On nonparametric classification for weakly dependent functional processes
From MaRDI portal
Publication:4578061
DOI10.1051/ps/2017002zbMath1395.62095OpenAlexW2591219884MaRDI QIDQ4578061
Publication date: 7 August 2018
Published in: ESAIM: Probability and Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1051/ps/2017002
Nonparametric regression and quantile regression (62G08) Classification and discrimination; cluster analysis (statistical aspects) (62H30)
Related Items (4)
Nonparametric modelling for functional data: selected survey and tracks for future ⋮ Nonparametric discrimination of areal functional data ⋮ Consistency of the \(k\)-nearest neighbor classifier for spatially dependent data ⋮ Recursive non-parametric kernel classification rule estimation for independent functional data
Uses Software
Cites Work
- Approximation theorems for strongly mixing random variables
- On the kernel rule for function classification
- Functional and operatorial statistics. Papers presented at the 1st international workshop on functional and operational statistics (IWFOS), Toulouse, France, June 19--21, 2008.
- Curves discrimination: a nonparametric functional approach
- Additive prediction and boosting for functional data
- Weakly dependent functional data
- Consistent nonparametric regression. Discussion
- An equivalence theorem for \(L_ 1\) convergence of the kernel regression estimate
- Nonparametric statistics for stochastic processes. Estimation and prediction.
- The functional central limit theorem for strongly mixing processes
- Invariance principles for absolutely regular empirical processes
- Inequalities for absolutely regular sequences: application to density estimation
- Functional data analysis
- The functional nonparametric model and applications to spectrometric data
- Applied functional data analysis. Methods and case studies
- Asymptotic theory of weakly dependent stochastic processes
- Nonparametric functional data analysis. Theory and practice.
- Nonparametric regression for functional data: automatic smoothing parameter selection
- Autoregressive Forecasting of Some Functional Climatic Variations
- A CENTRAL LIMIT THEOREM AND A STRONG MIXING CONDITION
- Functional Data Analysis with R and MATLAB
- Nonparametric Estimation of the Mode of A Distribution of Random Curves
- A Functional Data—Analytic Approach to Signal Discrimination
- Rates of convergence of nearest neighbor estimation under arbitrary sampling
- Nearest neighbor classification in infinite dimension
- On Estimation of a Probability Density Function and Mode
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
This page was built for publication: On nonparametric classification for weakly dependent functional processes