Functional sufficient dimension reduction through information maximization with application to classification

Cites Work

Unnamed Item
Unnamed Item
Unnamed Item
Unnamed Item
Unnamed Item
Unnamed Item
Probability-enhanced effective dimension reduction for classifying sparse functional data
Functional contour regression
Series expansion for functional sufficient dimension reduction
On convergence properties of Shannon entropy
$k_n$-nearest neighbor estimators of entropy
Functional data analysis for volatility
Machine learning with squared-loss mutual information
Asymptotic theory for the principal component analysis of a vector random function: Some applications to statistical inference
Dimension reduction in functional regression using mixed data canonical correlation analysis
Functional sufficient dimension reduction: convergence rates and multiple functional case
Successive direction extraction for estimating the central subspace in a multiple-index regres\-sion
Dimension reduction in functional regression with applications
PLS classification on functional data
Slicing regression: A link-free regression method
The functional nonparametric model and applications to spectrometric data
Functional $k$-means inverse regression
A unified approach to sufficient dimension reduction
Sensible functional linear discriminant analysis
The hybrid method of FSIR and FSAVE for functional effective dimension reduction
Recent advances in functional data analysis and high-dimensional statistics
Functional linear model
Dynamical functional prediction and classification, with application to traffic flow prediction
Dimension reduction for functional regression with a binary response
Dimension reduction for functional data based on weak conditional moments
Functional sufficient dimension reduction through average Fréchet derivatives
Functional sufficient dimension reduction for functional data classification
Properties of principal component methods for functional and longitudinal data analysis
Functional Linear Discriminant Analysis for Irregularly Sampled Curves
A theory for multiresolution signal decomposition: the wavelet representation
On Divergences and Informations in Statistics and Information Theory
Functional sliced inverse regression analysis
Using the Bootstrap to Select One of a New Class of Dimension Reduction Methods
10.1162/153244303322753742
Divergence Estimation for Multidimensional Densities Via $k$-Nearest-Neighbor Distances
Dimension reduction based on the Hellinger integral
Effective dimension reduction for sparse functional data
Sufficient Dimension Reduction via Squared-Loss Mutual Information Estimation
Functional Modelling and Classification of Longitudinal Data*
Direction estimation in single-index regressions
Edgeworth Approximation of Multivariate Differential Entropy
Achieving near Perfect Classification for Functional Data
Functional Data Analysis for Sparse Longitudinal Data
Nonparametric independence testing via mutual information
On sufficient dimension reduction for functional data: inverse moment-based methods
Filtering-based approaches for functional data classification

This page was built for publication: Functional sufficient dimension reduction through information maximization with application to classification