ArticleJournal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America2014
Smooth Scalar-on-Image Regression via Spatial Bayesian Variable Selection.
Article in Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
What it found
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Who cites it
36 citing papers in PubMed.
- Interpretable Scalar-on-Image Linear Regression Models via the Generalized Dantzig Selector.Journal of the American Statistical Association · 2026Article
- Identification of Regions of Interest in Neuroimaging Data With Irregular Boundary Based on Semiparametric Transformation Models and Interval-Censored Outcomes.Statistics in medicine · 2025Article
- Spatial Adaptive Selection using Binary Conditional Autoregressive Model with Application to Brain-Computer Interface.Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America · 2025Article
- Efficient Nonparametric Estimation of 3D Point Cloud Signals through Distributed Learning.Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America · 2025Article
- Interpretable discriminant analysis for functional data supported on random nonlinear domains with an application to Alzheimer's disease.Journal of the Royal Statistical Society. Series B, Statistical methodology · 2024Article
- Matrix-Variate Regression for Sparse, Low-Rank Estimation of Brain Connectivities Associated With a Clinical Outcome.IEEE transactions on bio-medical engineering · 2024Article
- Nonparametric Regression for 3D Point Cloud Learning.Journal of machine learning research : JMLR · 2024Article
- Imaging mediation analysis for longitudinal outcomes: a case study of childhood brain tumor survivorship.Statistics and its interface · 2024Article
- A novel two-way functional linear model with applications in human mortality data analysis.Journal of applied statistics · 2024Article
- Robust High-Dimensional Regression with Coefficient Thresholding and its Application to Imaging Data Analysis.Journal of the American Statistical Association · 2024Article
- Tensor response quantile regression with neuroimaging data.Biometrics · 2023Article
- SCALAR ON NETWORK REGRESSION VIA BOOSTING.The annals of applied statistics · 2022Article
- Prior Knowledge Guided Ultra-high Dimensional Variable Screening with Application to Neuroimaging Data.Statistica Sinica · 2022Article
- Localization and Diagnosis of Attention-Deficit/Hyperactivity Disorder.Healthcare (Basel, Switzerland) · 2021Article
- Bayesian Network Marker Selection via the Thresholded Graph Laplacian Gaussian Prior.Bayesian analysis · 2020Article
- Spatiotemporal signal detection using continuous shrinkage priors.Statistics in medicine · 2020Article
- Bayesian Scalar on Image Regression With Nonignorable Nonresponse.Journal of the American Statistical Association · 2020Article
- Covariate-adjusted region-referenced generalized functional linear model for EEG data.Statistics in medicine · 2019Article
- Structured Genome-Wide Association Studies with Bayesian Hierarchical Variable Selection.Genetics · 2019Article
- A Spatio-Temporal Model for Longitudinal Image-on-Image Regression.Statistics in biosciences · 2019Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
We develop scalar-on-image regression models when images are registered multidimensional manifolds. We propose a fast and scalable Bayes inferential procedure to estimate the image coefficient. The central idea is the combination of an Ising prior distribution, which controls a latent binary indicator map, and an intrinsic Gaussian Markov random field, which controls the smoothness of the nonzero coefficients. The model is fit using a single-site Gibbs sampler, which allows fitting within minutes for hundreds of subjects with predictor images containing thousands of locations. The code is simple and is provided in less than one page in the Appendix. We apply this method to a neuroimaging study where cognitive outcomes are regressed on measures of white matter microstructure at every voxel of the corpus callosum for hundreds of subjects.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.