On statistical classification with incomplete covariates via filtering
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Publication:5065290
DOI10.1080/00949655.2020.1856379OpenAlexW3111550986MaRDI QIDQ5065290
My-Nhi Nguyen, Majid Mojirsheibani
Publication date: 18 March 2022
Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00949655.2020.1856379
Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20) Statistics (62-XX)
Cites Work
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- Robust functional supervised classification for time series
- Optimal classification and nonparametric regression for functional data
- On the correct regression function (in \(L_{2}\)) and its applications when the dimension of the covariate vector is random
- On the kernel rule for function classification
- Prediction in functional linear regression
- Curves discrimination: a nonparametric functional approach
- Robust estimation and classification for functional data via projection-based depth notions
- Methodology and convergence rates for functional linear regression
- Optimal classification for time-course gene expression data using functional data analysis
- Classification with incomplete functional covariates
- Fast \(DD\)-classification of functional data
- A distribution-free theory of nonparametric regression
- Kernel classification with missing data and the choice of smoothing parameters
- Functional data classification: a wavelet approach
- Nonparametric functional data analysis. Theory and practice.
- Nonparametric regression for functional data: automatic smoothing parameter selection
- Componentwise classification and clustering of functional data
- SPECIFICATION TEST FOR MISSING FUNCTIONAL DATA
- Functional Classification in Hilbert Spaces
- A Functional Data—Analytic Approach to Signal Discrimination
- Statistical Classification with Missing Covariates
- Functional quadratic regression
- Components and Completion of Partially Observed Functional Data
- Approximating fragmented functional data by segments of Markov chains
- OUP accepted manuscript
- Classification Using Censored Functional Data
- Nearest neighbor classification in infinite dimension
- Classification of functional fragments by regularized linear classifiers with domain selection
- Achieving near Perfect Classification for Functional Data