Pages that link to "Item:Q3119921"
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The following pages link to A scalable multi-resolution spatio-temporal model for brain activation and connectivity in fMRI data (Q3119921):
Displaying 23 items.
- Diagnosing Glaucoma Progression with Visual Field Data Using a Spatiotemporal Boundary Detection Method (Q97699) (← links)
- Pre-surgical fMRI data analysis using a spatially adaptive conditionally autoregressive model (Q516492) (← links)
- Marginally parameterized spatio-temporal models and stepwise maximum likelihood estimation (Q830623) (← links)
- Adaptive integration of local region information to detect fine-scale brain activity patterns (Q1045238) (← links)
- Principles for statistical inference on big spatio-temporal data from climate models (Q1642392) (← links)
- Joint Bayesian estimation of voxel activation and inter-regional connectivity in fMRI experiments (Q2065243) (← links)
- Assessing the reliability of wind power operations under a changing climate with a non-Gaussian bias correction (Q2078298) (← links)
- Semiparametric modeling of time-varying activation and connectivity in task-based fMRI data (Q2189618) (← links)
- Risk patterns and correlated brain activities. Multidimensional statistical analysis of fMRI data in economic decision making study (Q2339074) (← links)
- Hierarchical spatio-temporal modeling of resting state fMRI data (Q2419876) (← links)
- Spatio-temporal modeling of localized brain activity (Q3434107) (← links)
- Identifying functional co‐activation patterns in neuroimaging studies via poisson graphical models (Q3465358) (← links)
- A Spatio‐Temporal Model for Functional Magnetic Resonance Imaging Data – with a View to Resting State Networks (Q3505353) (← links)
- Bayesian Hierarchical Models With Conjugate Full-Conditional Distributions for Dependent Data From the Natural Exponential Family (Q5146051) (← links)
- Joint Estimation of Effective Brain Wave Activation Modes Using EEG/MEG Sensor Arrays and Multimodal MRI Volumes (Q5157201) (← links)
- The Functional Segregation and Integration Model: Mixture Model Representations of Consistent and Variable Group-Level Connectivity in fMRI (Q5380582) (← links)
- Comments on ``Data science, big data and statistics'' (Q5970963) (← links)
- Scalable Bayesian matrix normal graphical models for brain functional networks (Q6050951) (← links)
- Calibration of spatiotemporal forecasts from citizen science urban air pollution data with sparse recurrent neural networks (Q6138472) (← links)
- Time-varying dynamic Bayesian network learning for an fMRI study of emotion processing (Q6615922) (← links)
- Rejoinder to the discussion on: ``A high-resolution bilevel skew-\(t\) stochastic generator for assessing Saudi Arabia's wind energy resources'' (Q6626187) (← links)
- An extended PDE-based statistical spatio-temporal model that suppresses the Gibbs phenomenon (Q6626646) (← links)
- A spatially varying hierarchical random effects model for longitudinal macular structural data in glaucoma patients (Q6665527) (← links)