Pages that link to "Item:Q6050951"
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The following pages link to Scalable Bayesian matrix normal graphical models for brain functional networks (Q6050951):
Displaying 5 items.
- Adjusted regularization in latent graphical models: application to multiple-neuron spike count data (Q1624826) (← links)
- A computationally efficient, exploratory approach to brain connectivity incorporating false discovery rate control, a priori knowledge, and group inference (Q1929654) (← links)
- Bayesian inference of high-dimensional, cluster-structured ordinary differential equation models with applications to brain connectivity studies (Q2404447) (← links)
- A Nonparametric Graphical Model for Functional Data With Application to Brain Networks Based on fMRI (Q3121557) (← links)
- A random covariance model for bi‐level graphical modeling with application to resting‐state fMRI data (Q6055494) (← links)
