86 citations · 180 across the 5 of their papers we have counts for
5 papers
Detecting sparse cone alternatives for Gaussian random fields, with an application to fMRI
Jonathan E. Taylor, Keith J. Worsley
Our problem is to find a good approximation to the P-value of the maximum of a random field of test statistics for a cone alternative at each point in a sample of Gaussian random f…
Whole-brain Prediction Analysis with GraphNet
Logan Grosenick, Brad Klingenberg, Kiefer Katovich +2
Multivariate machine learning methods are increasingly used to analyze neuroimaging data, often replacing more traditional "mass univariate" techniques that fit data one voxel at a…
Inference for eigenvalues and eigenvectors of Gaussian symmetric matrices
Armin Schwartzman, Walter F. Mascarenhas, Jonathan E. Taylor
This article presents maximum likelihood estimators (MLEs) and log-likelihood ratio (LLR) tests for the eigenvalues and eigenvectors of Gaussian random symmetric matrices of arbitr…
False discovery rate analysis of brain diffusion direction maps
Armin Schwartzman, Robert F. Dougherty, Jonathan E. Taylor
Diffusion tensor imaging (DTI) is a novel modality of magnetic resonance imaging that allows noninvasive mapping of the brain's white matter. A particular map derived from DTI meas…
A Gaussian kinematic formula
Jonathan E. Taylor
In this paper we consider probabilistic analogues of some classical integral geometric formulae: Weyl--Steiner tube formulae and the Chern--Federer kinematic fundamental formula. T…