Local Linear Regression on Manifolds and Its Geometric Interpretation

Vector diffusion maps and the connection Laplacian

(2012) A. Singer et al.   COMMUNICATIONS ON PURE AND APPLIED MATHEMATICS

Robust recovery of multiple subspaces by geometric lp minimization

(2011) Gilad Lerman et al.   ANNALS OF STATISTICS

Multi-scale geometric methods for data sets II: Geometric Multi-Resolution Analysis

(2011) William K. Allard et al.   APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS

Sure independence screening in generalized linear models with NP-dimensionality

(2010) Jianqing Fan et al.   ANNALS OF STATISTICS

Regression on manifolds: Estimation of the exterior derivative

(2010) Anil Aswani et al.   ANNALS OF STATISTICS

Learning gradients on manifolds

(2010) Sayan Mukherjee et al.   BERNOULLI

Penalized Bregman divergence for large-dimensional regression and classification

(2010) Chunming Zhang et al.   BIOMETRIKA

Finite sample approximation results for principal component analysis: A matrix perturbation approach

(2009) Boaz Nadler   ANNALS OF STATISTICS

A Multiple-Index Model and Dimension Reduction

(2009) Yingcun Xia   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Intrinsic Regression Models for Positive-Definite Matrices With Applications to Diffusion Tensor Imaging

(2009) Hongtu Zhu et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Variable selection in semiparametric regression modeling

(2008) Runze Li et al.   ANNALS OF STATISTICS

Manifold models for signals and images

(2008) Gabriel Peyré   COMPUTER VISION AND IMAGE UNDERSTANDING

Finding the Homology of Submanifolds with High Confidence from Random Samples

(2008) Partha Niyogi et al.   DISCRETE & COMPUTATIONAL GEOMETRY

Conditional variance estimation in heteroscedastic regression models

(2008) Lu-Hung Chen et al.   JOURNAL OF STATISTICAL PLANNING AND INFERENCE

Sure independence screening for ultrahigh dimensional feature space

(2008) Jianqing Fan et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY