The following pages link to Functional Graphical Models (Q5229905):
Displaying 34 items.
- Model selection for factorial Gaussian graphical models with an application to dynamic regulatory networks (Q306638) (← links)
- Network modeling in biology: statistical methods for gene and brain networks (Q2038287) (← links)
- From multivariate to functional data analysis: fundamentals, recent developments, and emerging areas (Q2062763) (← links)
- Statistical inference for the slope parameter in functional linear regression (Q2106789) (← 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)
- Finite sample theory for high-dimensional functional/scalar time series with applications (Q2136615) (← links)
- Gaussian graphical modeling for spectrometric data analysis (Q2157502) (← links)
- A joint latent factor analyzer and functional subspace model for clustering multivariate functional data (Q2172118) (← links)
- On principal graphical models with application to gene network (Q2242158) (← 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)
- Sparse Functional Principal Component Analysis in High Dimensions (Q5041340) (← links)
- Tensor Graphical Lasso (TeraLasso) (Q5213453) (← links)
- Bayesian Inferences on Neural Activity in EEG-Based Brain-Computer Interface (Q5881113) (← links)
- Copula Gaussian Graphical Models for Functional Data (Q5885103) (← links)
- A Wavelet-Based Independence Test for Functional Data With an Application to MEG Functional Connectivity (Q6077580) (← links)
- Conditional Functional Graphical Models (Q6107206) (← links)
- Nonlinear directed acyclic graph estimation based on the kernel partial correlation coefficient (Q6151904) (← links)
- High-dimensional functional graphical model structure learning via neighborhood selection approach (Q6200903) (← links)
- Fast covariance estimation for multivariate sparse functional data (Q6541536) (← links)
- Functional mixtures-of-experts (Q6547772) (← links)
- Optimal Linear Discriminant Analysis for High-Dimensional Functional Data (Q6567901) (← 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)
- Latent factor model for multivariate functional data (Q6589275) (← links)
- Mean and covariance estimation for discretely observed high-dimensional functional data: rates of convergence and division of observational regimes (Q6615373) (← links)
- Functional Linear Regression: Dependence and Error Contamination (Q6620868) (← 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)
- Latent Multimodal Functional Graphical Model Estimation (Q6631720) (← links)
- Dynamic Multivariate Functional Data Modeling via Sparse Subspace Learning (Q6631896) (← links)
- IDGM: an approach to estimate the graphical model of interval-valued data (Q6643224) (← links)
- Graphical Principal Component Analysis of Multivariate Functional Time Series (Q6651414) (← links)
