Scalable Bayesian Image-on-Scalar Regression for Population-Scale Neuroimaging Data Analysis
Fuente:
arXiv
Saved in:
| Main Authors: | Xu, Yuliang, Johnson, Timothy D., Nichols, Thomas E., Kang, Jian |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Scalable Scalar-on-Image Cortical Surface Regression with a Relaxed-Thresholded Gaussian Process Prior
by: Menacher, Anna, et al.
Published: (2024)
by: Menacher, Anna, et al.
Published: (2024)
Statistical Opportunities in Neuroimaging
by: Kang, Jian, et al.
Published: (2026)
by: Kang, Jian, et al.
Published: (2026)
Bayesian Scalar-on-Tensor Quantile Regression for Longitudinal Data on Alzheimer's Disease
by: Lyu, Rongke, et al.
Published: (2026)
by: Lyu, Rongke, et al.
Published: (2026)
Bayesian Image Mediation Analysis
by: Xu, Yuliang, et al.
Published: (2023)
by: Xu, Yuliang, et al.
Published: (2023)
The Sensitivity of Bayesian Kernel Machine Regression (BKMR) to Data Distribution: A Comprehensive Simulation Analysis
by: Hasan, Kazi Tanvir, et al.
Published: (2024)
by: Hasan, Kazi Tanvir, et al.
Published: (2024)
Bayesian Image-on-Image Regression via Deep Kernel Learning based Gaussian Processes
by: Ma, Guoxuan, et al.
Published: (2023)
by: Ma, Guoxuan, et al.
Published: (2023)
Bayesian Signal Matching for Transfer Learning in ERP-Based Brain Computer Interface
by: Ma, Tianwen, et al.
Published: (2024)
by: Ma, Tianwen, et al.
Published: (2024)
Multiple Imputation Method for High-Dimensional Neuroimaging Data
by: Lu, Tong, et al.
Published: (2023)
by: Lu, Tong, et al.
Published: (2023)
Quantile Function-Based Models for Neuroimaging Classification Using Wasserstein Regression
by: Li, Jie, et al.
Published: (2025)
by: Li, Jie, et al.
Published: (2025)
eTFCE: Exact Threshold-Free Cluster Enhancement via Fast Cluster Retrieval
by: Chen, Xu, et al.
Published: (2026)
by: Chen, Xu, et al.
Published: (2026)
Spatially Structured Regression for Non-conformable Spaces: Integrating Pathology Imaging and Genomics Data in Cancer
by: Osher, Nathaniel, et al.
Published: (2024)
by: Osher, Nathaniel, et al.
Published: (2024)
Scalable Bayesian Semiparametric Additive Regression Models For Microbiome Studies
by: Chen, Tinghua, et al.
Published: (2024)
by: Chen, Tinghua, et al.
Published: (2024)
Bayesian Latent Class Regression and Variable Selection with Applications to Sleep Patterns Data
by: Heaney, Matthew, et al.
Published: (2025)
by: Heaney, Matthew, et al.
Published: (2025)
Bayesian Profile Regression using Variational Inference to Identify Clusters of Multiple Long-Term Conditions Conditioning on Mortality in Population-Scale Data
by: Rafferty, James, et al.
Published: (2026)
by: Rafferty, James, et al.
Published: (2026)
Modeling Alzheimer's Disease: Bayesian Copula Graphical Model from Demographic, Cognitive, and Neuroimaging Data
by: Vogels, Lucas, et al.
Published: (2024)
by: Vogels, Lucas, et al.
Published: (2024)
Bayesian Functional Analysis for Untargeted Metabolomics Data with Matching Uncertainty and Small Sample Sizes
by: Ma, Guoxuan, et al.
Published: (2023)
by: Ma, Guoxuan, et al.
Published: (2023)
Scalable Ultra-High-Dimensional Quantile Regression with Genomic Applications
by: Wu, Hanqing, et al.
Published: (2026)
by: Wu, Hanqing, et al.
Published: (2026)
Bayesian Deep Count Regression and Anomaly Detection: Evidence from GDELT Event Panels
by: Huang, Hsin-Hsiung, et al.
Published: (2026)
by: Huang, Hsin-Hsiung, et al.
Published: (2026)
Bayesian Regression Analysis with the Drift-Diffusion Model
by: Jin, Zekai, et al.
Published: (2025)
by: Jin, Zekai, et al.
Published: (2025)
Computationally Scalable Bayesian SPDE Modeling for Censored Spatial Responses
by: Sahoo, Indranil, et al.
Published: (2024)
by: Sahoo, Indranil, et al.
Published: (2024)
Bayesian Multivariate Density-Density Regression
by: Nguyen, Khai, et al.
Published: (2025)
by: Nguyen, Khai, et al.
Published: (2025)
Bayesian Sparse Regression for Microbiome-Metabolite Data Integration
by: Jiang, Kai, et al.
Published: (2026)
by: Jiang, Kai, et al.
Published: (2026)
Bayesian Transfer Learning for High-Dimensional Linear Regression via Adaptive Shrinkage
by: Jamshidian, Parsa, et al.
Published: (2025)
by: Jamshidian, Parsa, et al.
Published: (2025)
Multi-faceted Neuroimaging Data Integration via Analysis of Subspaces
by: Ackerman, Andrew, et al.
Published: (2024)
by: Ackerman, Andrew, et al.
Published: (2024)
Inference for Large Scale Regression Models with Dependent Errors
by: Voirol, Lionel, et al.
Published: (2024)
by: Voirol, Lionel, et al.
Published: (2024)
Hierarchical Sparse Bayesian Multitask Model with Scalable Inference for Microbiome Analysis
by: Zhu, Haonan, et al.
Published: (2025)
by: Zhu, Haonan, et al.
Published: (2025)
Function on Scalar Regression with Complex Survey Designs
by: Koffman, Lily, et al.
Published: (2025)
by: Koffman, Lily, et al.
Published: (2025)
Nonlocal Prior Mixture-Based Bayesian Wavelet Regression with Application to Noisy Imaging and Audio Data
by: Sanyal, Nilotpal
Published: (2025)
by: Sanyal, Nilotpal
Published: (2025)
Permutation Inference for Canonical Correlation Analysis
by: Winkler, Anderson M., et al.
Published: (2020)
by: Winkler, Anderson M., et al.
Published: (2020)
Bayesian Quantile Regression with Subset Selection: A Decision Analysis Perspective
by: Feldman, Joseph, et al.
Published: (2023)
by: Feldman, Joseph, et al.
Published: (2023)
Partial Conjunction Analysis in Neuroimaging: A Comparative Study
by: Dey, Monitirtha, et al.
Published: (2025)
by: Dey, Monitirtha, et al.
Published: (2025)
Sensitivity Analysis of Priors in the Bayesian Dirichlet Auto-Regressive Moving Average Model
by: Katz, Harrison, et al.
Published: (2025)
by: Katz, Harrison, et al.
Published: (2025)
A Bayesian Semiparametric Mixture Model for Clustering Zero-Inflated Microbiome Data
by: Korsurat, Suppapat, et al.
Published: (2025)
by: Korsurat, Suppapat, et al.
Published: (2025)
Multiscale Multi-Type Spatial Bayesian Analysis for High-Dimensional Data with Application to Wildfires and Migration
by: Zhou, Shijie, et al.
Published: (2024)
by: Zhou, Shijie, et al.
Published: (2024)
A hierarchical modelling approach for Bayesian Causal Forests on longitudinal data: A Case Study in Multiple Sclerosis Clinical Trials
by: Prevot, Emma, et al.
Published: (2025)
by: Prevot, Emma, et al.
Published: (2025)
JASPER: Joint Bayesian Analysis of Spatial Expression via Regression
by: Dey, Pritam, et al.
Published: (2026)
by: Dey, Pritam, et al.
Published: (2026)
Genetic Algorithms in Regression
by: Li, Mo, et al.
Published: (2026)
by: Li, Mo, et al.
Published: (2026)
Bayesian Projection of Extant Refugee and Asylum Seeker Populations
by: Susmann, Herbert, et al.
Published: (2024)
by: Susmann, Herbert, et al.
Published: (2024)
Fast Bayesian inference for spatial mean-parameterized Conway-Maxwell-Poisson models
by: Kang, Bokgyeong, et al.
Published: (2023)
by: Kang, Bokgyeong, et al.
Published: (2023)
Quasi-Likelihood Analysis for Student-Lévy Regression
by: Masuda, Hiroki, et al.
Published: (2023)
by: Masuda, Hiroki, et al.
Published: (2023)
Similar Items
-
Scalable Scalar-on-Image Cortical Surface Regression with a Relaxed-Thresholded Gaussian Process Prior
by: Menacher, Anna, et al.
Published: (2024) -
Statistical Opportunities in Neuroimaging
by: Kang, Jian, et al.
Published: (2026) -
Bayesian Scalar-on-Tensor Quantile Regression for Longitudinal Data on Alzheimer's Disease
by: Lyu, Rongke, et al.
Published: (2026) -
Bayesian Image Mediation Analysis
by: Xu, Yuliang, et al.
Published: (2023) -
The Sensitivity of Bayesian Kernel Machine Regression (BKMR) to Data Distribution: A Comprehensive Simulation Analysis
by: Hasan, Kazi Tanvir, et al.
Published: (2024)