Saved in:
| Main Authors: | Sanchez, Nohelia Da Silva, Derman, Diego, Pham, Damon D., Butler, Ellyn R., Nebel, Mary Beth, Mejia, Amanda F. |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2602.01551 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Leveraging population information in brain connectivity via Bayesian ICA with a novel informative prior for correlation matrices
by: Mejia, Amanda, et al.
Published: (2023)
by: Mejia, Amanda, et al.
Published: (2023)
Excessive data censoring in fMRI undermines individual precision and weakens brain-behavior associations
by: Mejia, Amanda, et al.
Published: (2026)
by: Mejia, Amanda, et al.
Published: (2026)
Hierarchical Bayesian inference for community detection and connectivity of functional brain networks
by: Bian, Lingbin, et al.
Published: (2023)
by: Bian, Lingbin, et al.
Published: (2023)
Normative brain mapping of 3-dimensional morphometry imaging data using skewed functional data analysis
by: Palma, Marco, et al.
Published: (2024)
by: Palma, Marco, et al.
Published: (2024)
Spatiotemporal factor models for functional data with application to population map forecast
by: Wakayama, Tomoya, et al.
Published: (2023)
by: Wakayama, Tomoya, et al.
Published: (2023)
Functional random effects modeling of brain shape and connectivity
by: Lila, Eardi, et al.
Published: (2020)
by: Lila, Eardi, et al.
Published: (2020)
Supervised brain node and network construction under voxel-level functional imaging
by: Xu, Wanwan, et al.
Published: (2024)
by: Xu, Wanwan, et al.
Published: (2024)
Group integrative dynamic factor models with application to multiple subject brain connectivity
by: Kim, Younghoon, et al.
Published: (2023)
by: Kim, Younghoon, et al.
Published: (2023)
Colorectal cancer risk mapping through Bayesian Networks
by: Corrales, Daniel, et al.
Published: (2024)
by: Corrales, Daniel, et al.
Published: (2024)
Characterizing personalized effects of family information on disease risk using graph representation learning
by: Wharrie, Sophie, et al.
Published: (2023)
by: Wharrie, Sophie, et al.
Published: (2023)
Large-scale metric objects filtering for binary classification with application to abnormal brain connectivity detection
by: He, Shuaida, et al.
Published: (2024)
by: He, Shuaida, et al.
Published: (2024)
Network method for voxel-pair-level brain connectivity analysis under spatial-contiguity constraints
by: Lu, Tong, et al.
Published: (2023)
by: Lu, Tong, et al.
Published: (2023)
Targeted Quality Measurement of Health Care Providers
by: Li, Yige, et al.
Published: (2021)
by: Li, Yige, et al.
Published: (2021)
Bayesian feedback in the framework of ecological sciences
by: Figueira-Pereira, Mario, et al.
Published: (2023)
by: Figueira-Pereira, Mario, et al.
Published: (2023)
Data mining the functional architecture of the brain's circuitry
by: Charles, Adam S.
Published: (2025)
by: Charles, Adam S.
Published: (2025)
Sparse covariate-driven factorization of high-dimensional brain connectivity with application to site effect correction
by: Zhang, Rongqian, et al.
Published: (2026)
by: Zhang, Rongqian, et al.
Published: (2026)
On the use of satellite information to estimate agricultural carbon footprint in a small area framework
by: Pajno, Riccardo, et al.
Published: (2026)
by: Pajno, Riccardo, et al.
Published: (2026)
A longitudinal Bayesian framework for estimating causal dose-response relationships
by: Luo, Yu, et al.
Published: (2025)
by: Luo, Yu, et al.
Published: (2025)
Bayesian spatiotemporal modeling of passenger trip assignment in metro networks
by: Chen, Xiaoxu, et al.
Published: (2025)
by: Chen, Xiaoxu, et al.
Published: (2025)
Binomial maps: stochastically evolving iterated integer maps for finite populations
by: Shekatkar, Snehal M.
Published: (2025)
by: Shekatkar, Snehal M.
Published: (2025)
Bayesian modelling and computation utilising directed cycles in multiple network data
by: Mantziou, Anastasia, et al.
Published: (2021)
by: Mantziou, Anastasia, et al.
Published: (2021)
A capture-recapture hidden Markov model framework for register-based inference of population size and dynamics
by: Brown, Lucy Y, et al.
Published: (2026)
by: Brown, Lucy Y, et al.
Published: (2026)
Unlocking the secret life of blue mussels: Exploring connectivity in the Skagerrak through biophysical modeling and population genomics
by: Malin Gustafsson, et al.
Published: (2024)
by: Malin Gustafsson, et al.
Published: (2024)
Risk-based framework to determine climate-informed design storms for road drainage infrastructure
by: Fereshtehpour, Mohammad, et al.
Published: (2025)
by: Fereshtehpour, Mohammad, et al.
Published: (2025)
A Bayesian framework for analyzing alleged cheating in sports through hidden codes, with applications to bridge and baseball
by: Boonstra, Aafko, et al.
Published: (2024)
by: Boonstra, Aafko, et al.
Published: (2024)
A weighted-likelihood framework for class imbalance in Bayesian prediction models
by: Lazic, Stanley E.
Published: (2025)
by: Lazic, Stanley E.
Published: (2025)
Kairosis: A method for dynamical probability forecast aggregation informed by Bayesian change point detection
by: Hassoun, Zane, et al.
Published: (2024)
by: Hassoun, Zane, et al.
Published: (2024)
Bayesian Model Selection for Network Discrimination and Risk-informed Decision Making in Material Flow Analysis
by: Liao, Jiankan, et al.
Published: (2025)
by: Liao, Jiankan, et al.
Published: (2025)
Multilayer networks characterize human-mobility patterns by industry sector for the 2021 Texas winter storm
by: Butler, Melissa, et al.
Published: (2025)
by: Butler, Melissa, et al.
Published: (2025)
Near-real-time ship grounding damage assessment using Bayesian networks
by: Georgiadis, Dimitris G., et al.
Published: (2025)
by: Georgiadis, Dimitris G., et al.
Published: (2025)
Bayesian network approach to building an affective module for a driver behavioural model
by: Młynarczyk, Dorota, et al.
Published: (2026)
by: Młynarczyk, Dorota, et al.
Published: (2026)
Bayesian network approach to building an affective module for a driver behavioural model
by: Młynarczyk, Dorota, et al.
Published: (2025)
by: Młynarczyk, Dorota, et al.
Published: (2025)
Bayesian network-guided sparse regression with flexible varying effects
by: Ren, Yangfan, et al.
Published: (2024)
by: Ren, Yangfan, et al.
Published: (2024)
Bayesian estimation of clustered dependence structures in functional neuroconnectivity
by: Kim, Hyoshin, et al.
Published: (2023)
by: Kim, Hyoshin, et al.
Published: (2023)
Bayesian Nonhomogeneous hidden Markov models to leverage routine in physical activity monitoring with informative wear time
by: Cantoni, Beatrice, et al.
Published: (2025)
by: Cantoni, Beatrice, et al.
Published: (2025)
A Tutorial on Bayesian Analysis of Linear Shock Compression Data
by: Bernstein, Jason, et al.
Published: (2026)
by: Bernstein, Jason, et al.
Published: (2026)
Dynamic map‐making technology and the application in geographic information science
by: Li Wanwu, et al.
Published: (2024)
by: Li Wanwu, et al.
Published: (2024)
A Bayesian hierarchical framework for fusion of remote sensing data: An example with solar-induced fluorescence
by: Johny, Manju, et al.
Published: (2025)
by: Johny, Manju, et al.
Published: (2025)
A robust Bayesian latent position approach for community detection in networks with continuous attributes
by: Jin, Zhumengmeng, et al.
Published: (2022)
by: Jin, Zhumengmeng, et al.
Published: (2022)
Beyond data: leveraging non-empirical information and expert knowledge in Bayesian model calibration
by: Vollert, Sarah A., et al.
Published: (2025)
by: Vollert, Sarah A., et al.
Published: (2025)
Similar Items
-
Leveraging population information in brain connectivity via Bayesian ICA with a novel informative prior for correlation matrices
by: Mejia, Amanda, et al.
Published: (2023) -
Excessive data censoring in fMRI undermines individual precision and weakens brain-behavior associations
by: Mejia, Amanda, et al.
Published: (2026) -
Hierarchical Bayesian inference for community detection and connectivity of functional brain networks
by: Bian, Lingbin, et al.
Published: (2023) -
Normative brain mapping of 3-dimensional morphometry imaging data using skewed functional data analysis
by: Palma, Marco, et al.
Published: (2024) -
Spatiotemporal factor models for functional data with application to population map forecast
by: Wakayama, Tomoya, et al.
Published: (2023)