Parsimonious Tensor Response Regression

Algorithms for Envelope Estimation

(2016) R. Dennis Cook et al.   JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS

Envelopes and reduced-rank regression

(2015) R. Dennis Cook et al.   BIOMETRIKA

Foundations for Envelope Models and Methods

(2015) R. Dennis Cook et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Separable factor analysis with applications to mortality data

(2014) Bailey K. Fosdick et al.   Annals of Applied Statistics

Regularized 3D functional regression for brain image data via Haar wavelets

(2014) Xuejing Wang et al.   Annals of Applied Statistics

Atypical Activations of Fronto-Cerebellar Regions During Forethought in Parents of Children With ADHD

(2014) Lucile Rapin et al.   Journal of Attention Disorders

Simultaneous Envelopes for Multivariate Linear Regression

(2014) R. Dennis Cook et al.   TECHNOMETRICS

Tensor Regression with Applications in Neuroimaging Data Analysis

(2013) Hua Zhou et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Envelopes and partial least squares regression

(2013) R. D. Cook et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Regularized matrix regression

(2013) Hua Zhou et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Multiscale adaptive generalized estimating equations for longitudinal neuroimaging data

(2013) Yimei Li et al.   NEUROIMAGE

Multiscale Adaptive Marginal Analysis of Longitudinal Neuroimaging Data with Time-Varying Covariates

(2012) Martha Skup et al.   BIOMETRICS

Inner envelopes: efficient estimation in multivariate linear regression

(2012) Z. Su et al.   BIOMETRIKA

Maximum likelihood estimation for the tensor normal distribution: Algorithm, minimum sample size, and empirical bias and dispersion

(2012) Ameur M. Manceur et al.   JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS

Smooth Scalar-on-Image Regression via Spatial Bayesian Variable Selection

(2012) Jeff Goldsmith et al.   JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS

Sparse Reduced-Rank Regression for Simultaneous Dimension Reduction and Variable Selection

(2012) Lisha Chen et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Partial envelopes for efficient estimation in multivariate linear regression

(2011) Z. Su et al.   BIOMETRIKA

Multiscale adaptive regression models for neuroimaging data

(2011) Yimei Li et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Regularized multivariate regression for identifying master predictors with application to integrative genomics study of breast cancer

(2010) Jie Peng et al.   Annals of Applied Statistics

On dimension folding of matrix- or array-valued statistical objects

(2010) Bing Li et al.   ANNALS OF STATISTICS

Sparse partial least squares regression for simultaneous dimension reduction and variable selection

(2010) Hyonho Chun et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Functional Generalized Linear Models with Images as Predictors

(2009) Philip T. Reiss et al.   BIOMETRICS

Tensor Decompositions and Applications

(2009) Tamara G. Kolda et al.   SIAM REVIEW

Dimension reduction based on constrained canonical correlation and variable filtering

(2008) Jianhui Zhou et al.   ANNALS OF STATISTICS