Pages that link to "Item:Q3064291"

The following pages link to Modeling the Spatial and Temporal Dependence in fMRI Data (Q3064291):

Displaying 22 items.

• Gaussian and robust Kronecker product covariance estimation: existence and uniqueness (Q290708) (← links)
• A hierarchical modeling approach to data analysis and study design in a multi-site experimental fMRI study (Q358500) (← links)
• Applying multivariate techniques to high-dimensional temporally correlated fMRI data (Q719473) (← links)
• Describing high-order statistical dependence using ``concurrence topology'', with application to functional MRI brain data (Q740179) (← links)
• Spatial Bayesian variable selection and grouping for high-dimensional scalar-on-image regression (Q746657) (← links)
• A testing based approach to the discovery of differentially correlated variable sets (Q1624840) (← links)
• Time-varying correlation structure estimation and local-feature detection for spatio-temporal data (Q1795586) (← links)
• Hierarchical spatio-temporal modeling of resting state fMRI data (Q2419876) (← links)
• Spatio-temporal data analysis with non-linear filters: brain mapping with fMRI data (Q2711934) (← links)
• Spatio-temporal covariance model for medical images sequences: application to functional MRI data (Q2779957) (← links)
• Estimability of spatio-temporal activation in fMRI (Q2779981) (← links)
• A scalable multi-resolution spatio-temporal model for brain activation and connectivity in fMRI data (Q3119921) (← links)
• Spatio-temporal modeling of localized brain activity (Q3434107) (← links)
• A Spatio‐Temporal Model for Functional Magnetic Resonance Imaging Data – with a View to Resting State Networks (Q3505353) (← links)
• (Q3543447) (← links)
• Characterizing cross‐subject spatial interaction patterns in functional magnetic resonance imaging studies: A two‐stage point‐process model (Q4597949) (← links)
• Modelling Spatial Intensity for Replicated Inhomogeneous Point Patterns in Brain Imaging (Q4665856) (← links)
• Individualized Multilayer Tensor Learning With an Application in Imaging Analysis (Q5130626) (← links)
• Accounting for Spatial Dependence in the Analysis of SPECT Brain Imaging Data (Q5307647) (← links)
• A Bayesian hierarchical framework for modeling brain connectivity for neuroimaging data (Q5739290) (← links)
• Penalty and related estimation strategies in the spatial error model (Q6064124) (← links)
• Bayes estimate of primary threshold in clusterwise functional magnetic resonance imaging inferences (Q6628254) (← links)