A Fully Bayesian Approach for Comprehensive Mapping of Magnitude and Phase Brain Activation in Complex-Valued fMRI Data
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Wang, Zhengxin, Rowe, Daniel B., Li, Xinyi, Brown, D. Andrew |
|---|---|
| Format: | Preprint |
| Publié: |
2024
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Estimating Covariate Effects on Functional Connectivity using Voxel-Level fMRI Data
par: Zhao, Wei, et autres
Publié: (2025)
par: Zhao, Wei, et autres
Publié: (2025)
Bayesian Joint Modeling for Longitudinal Magnitude Data with Informative Dropout: an Application to Critical Care Data
par: Teng, Wen, et autres
Publié: (2024)
par: Teng, Wen, et autres
Publié: (2024)
Social Media Data for Population Mapping: A Bayesian Approach to Address Representativeness and Privacy Challenges
par: Andrich, Paolo, et autres
Publié: (2026)
par: Andrich, Paolo, et autres
Publié: (2026)
Addressing Phase Discrepancies in Functional Data: A Bayesian Approach for Accurate Alignment and Smoothing
par: Gardella, Jacopo, et autres
Publié: (2025)
par: Gardella, Jacopo, et autres
Publié: (2025)
Cluster Size Matters: A Comparative Study of Notip and pARI for Post Hoc Inference in fMRI
par: Peyrouset, Nils, et autres
Publié: (2025)
par: Peyrouset, Nils, et autres
Publié: (2025)
Variational Inference for Fully Bayesian Hierarchical Linear Models
par: Parra-Aldana, Cristian, et autres
Publié: (2025)
par: Parra-Aldana, Cristian, et autres
Publié: (2025)
Bayesian Mapping of Mortality Clusters
par: Sottosanti, Andrea, et autres
Publié: (2024)
par: Sottosanti, Andrea, et autres
Publié: (2024)
A Bayesian Longitudinal Spatial Normative Model for Individualized Brain Deviation Mapping
par: Korley, J. T.
Publié: (2026)
par: Korley, J. T.
Publié: (2026)
Defining Utility as a Measure of Preference Under Uncertainty in Phase I-II Oncology Dose Finding Trials
par: Hall, Andrew, et autres
Publié: (2025)
par: Hall, Andrew, et autres
Publié: (2025)
Combining chains of Bayesian models with Markov melding
par: Manderson, Andrew A., et autres
Publié: (2021)
par: Manderson, Andrew A., et autres
Publié: (2021)
A Unified Bayesian Framework for Modeling Measurement Error in Multinomial Data
par: Koslovsky, Matthew D., et autres
Publié: (2023)
par: Koslovsky, Matthew D., et autres
Publié: (2023)
Modeling Spatial Heterogeneity in Exposure Buffers and Risk: A Hierarchical Bayesian Approach
par: Comess, Saskia, et autres
Publié: (2025)
par: Comess, Saskia, et autres
Publié: (2025)
A Symmetric Random Scan Collapsed Gibbs Sampler for Fully Bayesian Variable Selection with Spike-and-Slab Priors
par: Chung, Mengta
Publié: (2026)
par: Chung, Mengta
Publié: (2026)
A Bayesian Approach to Modeling Variance of Intensive Longitudinal Biomarker Data as a Predictor of Health Outcomes
par: Yu, Mingyan, et autres
Publié: (2024)
par: Yu, Mingyan, et autres
Publié: (2024)
Bayesian calendar-time survival analysis with epidemic curve priors and variant-specific infection hazards
par: Dahl, Angela M, et autres
Publié: (2026)
par: Dahl, Angela M, et autres
Publié: (2026)
Accelerating Bayesian Inference via Multi-Fidelity Transport Map Coupling
par: Muchandimath, Sanjan C., et autres
Publié: (2025)
par: Muchandimath, Sanjan C., et autres
Publié: (2025)
Detecting Multiple Change Points in Distributional Sequences Derived from Structural Health Monitoring Data: An Application to Bridge Damage Detection
par: Lei, Xinyi, et autres
Publié: (2023)
par: Lei, Xinyi, et autres
Publié: (2023)
Bayesian Variable Selection in Distributed Lag Models: A Focus on Binary Quantile and Count Data Regressions
par: Dempsey, Daniel, et autres
Publié: (2024)
par: Dempsey, Daniel, et autres
Publié: (2024)
A Comparative Evaluation of a Conditional Median-Based Bayesian Growth Curve Modeling Approach with Missing Data
par: Tang, Dandan, et autres
Publié: (2025)
par: Tang, Dandan, et autres
Publié: (2025)
A Bayesian Integrative Mixed Modeling Framework for Analysis of the Adolescent Brain and Cognitive Development Study
par: Neher, Aidan, et autres
Publié: (2025)
par: Neher, Aidan, et autres
Publié: (2025)
A Bayesian Approach for Inference on Mixed Graphical Models
par: Florez, Mauro, et autres
Publié: (2025)
par: Florez, Mauro, et autres
Publié: (2025)
Noise-Robust Phase Connectivity Estimation via Bayesian Circular Functional Models
par: Sugasawa, Shonosuke, et autres
Publié: (2025)
par: Sugasawa, Shonosuke, et autres
Publié: (2025)
Scalable Decisions using a Bayesian Decision-Theoretic Approach
par: Ng, Hoiyi, et autres
Publié: (2026)
par: Ng, Hoiyi, et autres
Publié: (2026)
Slamming the sham: A Bayesian model for adaptive adjustment with noisy control data
par: Gelman, Andrew, et autres
Publié: (2019)
par: Gelman, Andrew, et autres
Publié: (2019)
A Bayesian Treatment Selection Design for Phase II Randomised Cancer Clinical Trials
par: Komaki, Moka, et autres
Publié: (2025)
par: Komaki, Moka, et autres
Publié: (2025)
Flexible Bayesian Tensor Decomposition for Verbal Autopsy Data
par: Zhu, Yu, et autres
Publié: (2025)
par: Zhu, Yu, et autres
Publié: (2025)
Hierarchical Bayesian Models to Mitigate Systematic Disparities in Prediction with Proxy Outcomes
par: Mikhaeil, Jonas, et autres
Publié: (2024)
par: Mikhaeil, Jonas, et autres
Publié: (2024)
A Bayesian Method for Adverse Effects Estimation in Observational Studies with Truncation by Death
par: Sisti, Anthony, et autres
Publié: (2024)
par: Sisti, Anthony, et autres
Publié: (2024)
Bayesian Multilevel Bivariate Spatial Modelling of Italian School Data
par: Cefalo, Leonardo, et autres
Publié: (2024)
par: Cefalo, Leonardo, et autres
Publié: (2024)
Bayesian Modeling for Aggregated Relational Data: A Unified Perspective
par: Ward, Owen G., et autres
Publié: (2025)
par: Ward, Owen G., et autres
Publié: (2025)
Elastic Bayesian Model Calibration
par: Francom, Devin, et autres
Publié: (2023)
par: Francom, Devin, et autres
Publié: (2023)
MUCE: Bayesian Hierarchical Modeling for the Design and Analysis of Phase 1b Multiple Expansion Cohort Trials
par: Lyu, Jiaying, et autres
Publié: (2020)
par: Lyu, Jiaying, et autres
Publié: (2020)
BMW: Bayesian Model-Assisted Adaptive Phase II Clinical Trial Design for Win Ratio Statistic
par: Zhu, Di, et autres
Publié: (2026)
par: Zhu, Di, et autres
Publié: (2026)
A Bayesian Nonparametric Approach for Semi-Competing Risks with Application to Cardiovascular Health
par: Gelis-Cadena, Karina, et autres
Publié: (2025)
par: Gelis-Cadena, Karina, et autres
Publié: (2025)
Mapping Incidence and Prevalence Peak Data for SIR Forecasting Applications
par: Murph, Alexander C., et autres
Publié: (2024)
par: Murph, Alexander C., et autres
Publié: (2024)
Bayesian Scalar-on-Tensor Quantile Regression for Longitudinal Data on Alzheimer's Disease
par: Lyu, Rongke, et autres
Publié: (2026)
par: Lyu, Rongke, et autres
Publié: (2026)
Bayesian Inference for Spatially-Temporally Misaligned Data Using Predictive Stacking
par: Pan, Soumyakanti, et autres
Publié: (2025)
par: Pan, Soumyakanti, et autres
Publié: (2025)
A Bayesian theory for estimation of biodiversity
par: Rigon, Tommaso, et autres
Publié: (2025)
par: Rigon, Tommaso, et autres
Publié: (2025)
A Bayesian Semiparametric Mixture Model for Clustering Zero-Inflated Microbiome Data
par: Korsurat, Suppapat, et autres
Publié: (2025)
par: Korsurat, Suppapat, et autres
Publié: (2025)
Latent Moment Models for Recurrent Binary Outcomes: A Bayesian and Quasi-Distributional Approach
par: Ramezani, Niloofar, et autres
Publié: (2026)
par: Ramezani, Niloofar, et autres
Publié: (2026)
Documents similaires
-
Estimating Covariate Effects on Functional Connectivity using Voxel-Level fMRI Data
par: Zhao, Wei, et autres
Publié: (2025) -
Bayesian Joint Modeling for Longitudinal Magnitude Data with Informative Dropout: an Application to Critical Care Data
par: Teng, Wen, et autres
Publié: (2024) -
Social Media Data for Population Mapping: A Bayesian Approach to Address Representativeness and Privacy Challenges
par: Andrich, Paolo, et autres
Publié: (2026) -
Addressing Phase Discrepancies in Functional Data: A Bayesian Approach for Accurate Alignment and Smoothing
par: Gardella, Jacopo, et autres
Publié: (2025) -
Cluster Size Matters: A Comparative Study of Notip and pARI for Post Hoc Inference in fMRI
par: Peyrouset, Nils, et autres
Publié: (2025)