Tensor Regression with Applications in Neuroimaging Data Analysis

Matrix variate logistic regression model with application to EEG data

(2012) H. Hung et al.   BIOSTATISTICS

Spatio-Spectral Mixed-Effects Model for Functional Magnetic Resonance Imaging Data

(2012) Hakmook Kang et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Multiscale adaptive regression models for neuroimaging data

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

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

(2010) Bing Li et al.   ANNALS OF STATISTICS

Imaging genetics and development: Challenges and promises

(2010) B.J. Casey et al.   HUMAN BRAIN MAPPING

Structural adaptive segmentation for statistical parametric mapping

(2010) Jörg Polzehl et al.   NEUROIMAGE

Two-stage decompositions for the analysis of functional connectivity for fMRI with application to Alzheimer's disease risk

(2010) Brian S. Caffo et al.   NEUROIMAGE

Sparse logistic regression for whole-brain classification of fMRI data

(2010) Srikanth Ryali et al.   NEUROIMAGE

Functional Generalized Linear Models with Images as Predictors

(2009) Philip T. Reiss et al.   BIOMETRICS

Spatially augmented LPboosting for AD classification with evaluations on the ADNI dataset

(2009) Chris Hinrichs et al.   NEUROIMAGE

Modalities, Modes, and Models in Functional Neuroimaging

(2009) K. J. Friston   SCIENCE

Tensor Decompositions and Applications

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

The Statistical Analysis of fMRI Data

(2009) Martin A. Lindquist   STATISTICAL SCIENCE

Combining multivariate voxel selection and support vector machines for mapping and classification of fMRI spatial patterns

(2008) Federico De Martino et al.   NEUROIMAGE