Pages that link to "Item:Q6079973"
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The following pages link to Hypothesis Testing of Matrix Graph Model with Application to Brain Connectivity Analysis (Q6079973):
Displaying 20 items.
- Correlation between graphs with an application to brain network analysis (Q126082) (← links)
- A Penalized Likelihood Method for Classification With Matrix-Valued Predictors (Q149263) (← links)
- How the statistical validation of functional connectivity patterns can prevent erroneous definition of small-world properties of a brain connectivity network (Q454614) (← links)
- Network modeling in biology: statistical methods for gene and brain networks (Q2038287) (← links)
- Network differential connectivity analysis (Q2080732) (← links)
- Testing the equality of matrix distributions (Q2218634) (← links)
- Testing and support recovery of correlation structures for matrix-valued observations with an application to stock market data (Q2682965) (← links)
- Matrix Graph Hypothesis Testing and Application in Brain Connectivity Alternation Detection (Q4626691) (← links)
- Constructing brain connectivity group graphs from EEG time series (Q5036557) (← links)
- Simultaneous Covariance Inference for Multimodal Integrative Analysis (Q5120666) (← links)
- Mixed-Effect Time-Varying Network Model and Application in Brain Connectivity Analysis (Q5146050) (← links)
- Hypothesis Testing for the Covariance Matrix in High-Dimensional Transposable Data with Kronecker Product Dependence Structure (Q5155189) (← links)
- Interpretation of the Precision Matrix and Its Application in Estimating Sparse Brain Connectivity during Sleep Spindles from Human Electrocorticography Recordings (Q5380666) (← links)
- Estimating and inferring the maximum degree of stimulus‐locked time‐varying brain connectivity networks (Q6050938) (← links)
- Brain connectivity alteration detection via matrix‐variate differential network model (Q6055497) (← links)
- Extracting brain disease‐related connectome subgraphs by adaptive dense subgraph discovery (Q6055706) (← links)
- Simultaneous Cluster Structure Learning and Estimation of Heterogeneous Graphs for Matrix-Variate fMRI Data (Q6079710) (← links)
- Testing the differential network between two gaussian graphical models with false discovery rate control (Q6552575) (← links)
- Activation discovery with FDR control: application to fMRI data (Q6593379) (← links)
- Alteration detection of tensor dependence structure via sparsity-exploited reranking algorithm (Q6667483) (← links)
