Related references
Note: Only part of the references are listed.False Discovery Rate Smoothing
Wesley Tansey et al.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2018)
Graph Signal Processing: Overview, Challenges, and Applications
Antonio Ortega et al.
PROCEEDINGS OF THE IEEE (2018)
Cluster failure: Why fMRI inferences for spatial extent have inflated false-positive rates
Anders Eklund et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2016)
Spatial Product Partition Models
Garritt L. Page et al.
BAYESIAN ANALYSIS (2016)
Imaging-based enrichment criteria using deep learning algorithms for efficient clinical trials in mild cognitive impairment
Vamsi K. Ithapu et al.
ALZHEIMERS & DEMENTIA (2015)
Introduction to special issue: Overview of Alzheimer's Disease Neuroimaging Initiative
Michael W. Weiner et al.
ALZHEIMERS & DEMENTIA (2015)
Different patterns of gray matter atrophy in early- and late-onset Alzheimer's disease
Christiane Moller et al.
NEUROBIOLOGY OF AGING (2013)
Multiple testing corrections, nonparametric methods, and random field theory
Thomas E. Nichols
NEUROIMAGE (2012)
Mass univariate analysis of event-related brain potentials/fields I: A critical tutorial review
David M. Groppe et al.
PSYCHOPHYSIOLOGY (2011)
Independent filtering increases detection power for high-throughput experiments
Richard Bourgon et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2010)
Role of structural MRI in Alzheimer's disease
Prashanthi Vemuri et al.
ALZHEIMERS RESEARCH & THERAPY (2010)
Simultaneous inference for multiple testing and clustering via a Dirichlet, process mixture model
David B. Dahl et al.
STATISTICAL MODELLING (2008)
Size, power and false discovery rates
Bradley Efron
ANNALS OF STATISTICS (2007)
Multiple hypothesis testing by clustering treatment effects
David B. Dahl et al.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2007)
Variational Inference for Dirichlet Process Mixtures
David M. Blei et al.
BAYESIAN ANALYSIS (2006)
A Bayesian mixture model for differential gene expression
KA Do et al.
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS (2005)
Detecting differential gene expression with a semiparametric hierarchical mixture method
MA Newton et al.
BIOSTATISTICS (2004)
Nonparametric Bayesian data analysis
P Müller et al.
STATISTICAL SCIENCE (2004)
Unified univariate and multivariate random field theory
KJ Worsley et al.
NEUROIMAGE (2004)
The positive false discovery rate: A Bayesian interpretation and the q-value
JD Storey
ANNALS OF STATISTICS (2003)
Thresholding of statistical maps in functional neuroimaging using the false discovery rate
CR Genovese et al.
NEUROIMAGE (2002)
Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain
N Tzourio-Mazoyer et al.
NEUROIMAGE (2002)
Share Paper
