Nonlinear and additive principal component analysis for functional data

Multivariate Functional Principal Component Analysis for Data Observed on Different (Dimensional) Domains

(2017) Clara Happ et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Functional Data Analysis

(2016) Jane-Ling Wang et al.   Annual Review of Statistics and Its Application

Functional Principal Component Analysis of Spatiotemporal Point Processes With Applications in Disease Surveillance

(2014) Yehua Li et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

On an Additive Semigraphoid Model for Statistical Networks With Application to Pathway Analysis

(2014) Bing Li et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

A general theory for nonlinear sufficient dimension reduction: Formulation and estimation

(2013) Kuang-Yao Lee et al.   ANNALS OF STATISTICS

Principal support vector machines for linear and nonlinear sufficient dimension reduction

(2012) Bing Li et al.   ANNALS OF STATISTICS

Model-based clustering for multivariate functional data

(2012) Julien Jacques et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Sparse Estimation of Conditional Graphical Models With Application to Gene Networks

(2012) Bing Li et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

VECTOR VALUED REPRODUCING KERNEL HILBERT SPACES AND UNIVERSALITY

(2010) C. CARMELI et al.   Analysis and Applications

A stable hyperparameter selection for the Gaussian RBF kernel for discrimination

(2010) Jeongyoun Ahn   Statistical Analysis and Data Mining

Kernel dimension reduction in regression

(2009) Kenji Fukumizu et al.   ANNALS OF STATISTICS

Some Properties of Gaussian Reproducing Kernel Hilbert Spaces and Their Implications for Function Approximation and Learning Theory

(2009) Ha Quang Minh   CONSTRUCTIVE APPROXIMATION