Nonparametric Functional Graphical Modeling Through Functional Additive Regression Operator
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Publication:6077566
DOI10.1080/01621459.2021.2006667OpenAlexW4200220637MaRDI QIDQ6077566
Lexin Li, Kuang-Yao Lee, Bing Li, Hongyu Zhao
Publication date: 18 October 2023
Published in: Journal of the American Statistical Association (Search for Journal in Brave)
Full work available at URL: https://figshare.com/articles/journal_contribution/Nonparametric_Functional_Graphical_Modeling_through_Functional_Additive_Regression_Operator/17054034
graphical modelregression operatorbrain connectivity analysissparsistencyadditive conditional independenceneuroimaging analysis
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- Solving semidefinite-quadratic-linear programs using SDPT3
- Sparse inverse covariance estimation with the graphical lasso
- A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
- Innovated scalable efficient estimation in ultra-large Gaussian graphical models
- Regularized rank-based estimation of high-dimensional nonparanormal graphical models
- High-dimensional semiparametric Gaussian copula graphical models
- High-dimensional covariance estimation by minimizing \(\ell _{1}\)-penalized log-determinant divergence
- Nonlinear sufficient dimension reduction for functional data
- On dimension folding of matrix- or array-valued statistical objects
- Simultaneous analysis of Lasso and Dantzig selector
- A hidden spatial-temporal Markov random field model for network-based analysis of time course gene expression data
- Functional data analysis.
- High-dimensional graphs and variable selection with the Lasso
- On early stopping in gradient descent learning
- A Constrainedℓ1Minimization Approach to Sparse Precision Matrix Estimation
- A Nonparametric Graphical Model for Functional Data With Application to Brain Networks Based on fMRI
- A Selective Overview of Variable Selection in High Dimensional Feature Space (Invited Review Article)
- Model selection and estimation in the Gaussian graphical model
- Joint Measures and Cross-Covariance Operators
- A family of minimax rates for density estimators in continuous time
- Sparse Additive Models
- Linear operator‐based statistical analysis: A useful paradigm for big data
- On an Additive Semigraphoid Model for Statistical Networks With Application to Pathway Analysis
- Structural Pursuit Over Multiple Undirected Graphs
- Sharp Thresholds for High-Dimensional and Noisy Sparsity Recovery Using $\ell _{1}$-Constrained Quadratic Programming (Lasso)
- Functional Graphical Models
- Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operators
- Partial Correlation Estimation by Joint Sparse Regression Models
- Regularization and Variable Selection Via the Elastic Net
- A Dynamic Directional Model for Effective Brain Connectivity Using Electrocorticographic (ECoG) Time Series
- Variable Selection via Additive Conditional Independence
- On an additive partial correlation operator and nonparametric estimation of graphical models
- Modelling structured correlation matrices
- Graph estimation with joint additive models
- Copula Gaussian Graphical Models for Functional Data
- Hypothesis Testing of Matrix Graph Model with Application to Brain Connectivity Analysis
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