Pages that link to "Item:Q152850"
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The following pages link to Gaussian graphical model estimation with false discovery rate control (Q152850):
Displaying 31 items.
- Hypothesis Testing in High-Dimensional Instrumental Variables Regression With an Application to Genomics Data (Q5067438) (← links)
- Covariate-adjusted Gaussian graphical model estimation with false discovery rate control (Q5079837) (← links)
- GGM Knockoff Filter: False Discovery Rate Control for Gaussian Graphical Models (Q5088254) (← links)
- GAP: A General Framework for Information Pooling in Two-Sample Sparse Inference (Q5120661) (← links)
- Simultaneous Covariance Inference for Multimodal Integrative Analysis (Q5120666) (← links)
- Estimating structured high-dimensional covariance and precision matrices: optimal rates and adaptive estimation (Q5965313) (← links)
- Inference for Nonparanormal Partial Correlation via Regularized Rank-Based Nodewise Regression (Q6055865) (← links)
- Discussion of “A Scale-Free Approach for False Discovery Rate Control in Generalized Linear Models” by Dai, Lin, Xing, and Liu (Q6077544) (← links)
- Transfer Learning in Large-Scale Gaussian Graphical Models with False Discovery Rate Control (Q6077601) (← links)
- Frequentist Model Averaging for Undirected Gaussian Graphical Models (Q6079689) (← links)
- Hypothesis Testing of Matrix Graph Model with Application to Brain Connectivity Analysis (Q6079973) (← links)
- Structure learning of exponential family graphical model with false discovery rate control (Q6080784) (← links)
- Exact test theory in Gaussian graphical models (Q6097560) (← links)
- A Normality Test for High-dimensional Data Based on the Nearest Neighbor Approach (Q6107242) (← links)
- Testing and signal identification for two-sample high-dimensional covariances via multi-level thresholding (Q6108302) (← links)
- Statistical Inference for High-Dimensional Generalized Linear Models With Binary Outcomes (Q6110021) (← links)
- Inference on Multi-level Partial Correlations Based on Multi-subject Time Series Data (Q6110738) (← links)
- StarTrek: combinatorial variable selection with false discovery rate control (Q6192319) (← links)
- Testing the differential network between two gaussian graphical models with false discovery rate control (Q6552575) (← links)
- Hierarchical false discovery rate control for high-dimensional survival analysis with interactions (Q6554259) (← links)
- Statistical Inferences for Complex Dependence of Multimodal Imaging Data (Q6567943) (← links)
- Large-Scale Two-Sample Comparison of Support Sets (Q6567954) (← links)
- Inference in Sparsity-Induced Weak Factor Models (Q6586893) (← links)
- A double-robust test for high-dimensional gene coexpression networks conditioning on clinical information (Q6589268) (← links)
- Support recovery of Gaussian graphical model with false discovery rate control (Q6594996) (← links)
- Gaussian graphical models with applications to omics analyses (Q6629360) (← links)
- A Covariate-Regulated Sparse Subspace Learning Model and Its Application to Process Monitoring and Fault Isolation (Q6631131) (← links)
- Inference in High-Dimensional Multivariate Response Regression with Hidden Variables (Q6631705) (← links)
- Graphical Model Inference with Erosely Measured Data (Q6631725) (← links)
- A Decorrelating and Debiasing Approach to Simultaneous Inference for High-Dimensional Confounded Models (Q6651390) (← links)
- Alteration detection of tensor dependence structure via sparsity-exploited reranking algorithm (Q6667483) (← links)
