Pages that link to "Item:Q3121557"
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The following pages link to A Nonparametric Graphical Model for Functional Data With Application to Brain Networks Based on fMRI (Q3121557):
Displaying 26 items.
- Network modeling in biology: statistical methods for gene and brain networks (Q2038287) (← links)
- Nonparametric and high-dimensional functional graphical models (Q2106795) (← links)
- On consistency and sparsity for high-dimensional functional time series with application to autoregressions (Q2108488) (← links)
- On skewed Gaussian graphical models (Q2111068) (← links)
- Gaussian graphical modeling for spectrometric data analysis (Q2157502) (← links)
- On principal graphical models with application to gene network (Q2242158) (← links)
- Independent component analysis for multivariate functional data (Q2293541) (← links)
- G-Lasso Network Analysis for Functional Data (Q3300631) (← links)
- Sparse graphical models via calibrated concave convex procedure with application to fMRI data (Q5037034) (← links)
- Copula Gaussian Graphical Models for Functional Data (Q5885103) (← links)
- Multi-view metro station clustering based on passenger flows: a functional data-edged network community detection approach (Q6040510) (← links)
- Scalable Bayesian matrix normal graphical models for brain functional networks (Q6050951) (← links)
- A random covariance model for bi‐level graphical modeling with application to resting‐state fMRI data (Q6055494) (← links)
- A Wavelet-Based Independence Test for Functional Data With an Application to MEG Functional Connectivity (Q6077580) (← links)
- Nonparametric matrix response regression with application to brain imaging data analysis (Q6079253) (← links)
- Consistent Estimation of the Number of Communities via Regularized Network Embedding (Q6079724) (← links)
- Conditional Functional Graphical Models (Q6107206) (← links)
- High-dimensional functional graphical model structure learning via neighborhood selection approach (Q6200903) (← links)
- Adaptive Functional Thresholding for Sparse Covariance Function Estimation in High Dimensions (Q6567942) (← links)
- Functional Bayesian networks for discovering causality from multivariate functional data (Q6589272) (← links)
- Mean and covariance estimation for discretely observed high-dimensional functional data: rates of convergence and division of observational regimes (Q6615373) (← links)
- Causal discoveries for high dimensional mixed data (Q6629340) (← links)
- Monitoring Heterogeneous Multivariate Profiles Based on Heterogeneous Graphical Model (Q6631062) (← links)
- Online Structural Change-Point Detection of High-dimensional Streaming Data via Dynamic Sparse Subspace Learning (Q6631107) (← links)
- Dynamic Multivariate Functional Data Modeling via Sparse Subspace Learning (Q6631896) (← links)
- A nonparametric test for elliptical distribution based on kernel embedding of probabilities (Q6656623) (← links)
