Pages that link to "Item:Q5411019"
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The following pages link to Covariate-adjusted precision matrix estimation with an application in genetical genomics (Q5411019):
Displaying 44 items.
- A Projection Based Conditional Dependence Measure with Applications to High-dimensional Undirected Graphical Models (Q141126) (← links)
- Variable selection in high-dimensional sparse multiresponse linear regression models (Q779699) (← links)
- Ensemble sparse estimation of covariance structure for exploring genetic disease data (Q830118) (← links)
- Conditional score matching for high-dimensional partial graphical models (Q830589) (← links)
- Reciprocal graphical models for integrative gene regulatory network analysis (Q1631597) (← links)
- Heterogeneity adjustment with applications to graphical model inference (Q1711558) (← links)
- Variable selection and joint estimation of mean and covariance models with an application to eQTL data (Q1734403) (← links)
- Joint mean-covariance estimation via the horseshoe (Q2022549) (← links)
- Multivariate sparse Laplacian shrinkage for joint estimation of two graphical structures (Q2101407) (← links)
- A generalized likelihood-based Bayesian approach for scalable joint regression and covariance selection in high dimensions (Q2152553) (← links)
- Covariance matrix testing in high dimension using random projections (Q2155009) (← links)
- Sparse directed acyclic graphs incorporating the covariates (Q2208417) (← links)
- The conditional censored graphical Lasso estimator (Q2209704) (← links)
- Large-scale multiple inference of collective dependence with applications to protein function (Q2245166) (← links)
- Structural learning of contemporaneous dependencies in graphical VAR models (Q2291312) (← links)
- Large covariance estimation through elliptical factor models (Q2413594) (← links)
- Regularized multivariate regression models with skew-\(t\) error distributions (Q2448807) (← links)
- An integrated precision matrix estimation for multivariate regression problems (Q2676914) (← links)
- Joint high-dimensional Bayesian variable and covariance selection with an application to eQTL analysis (Q2846452) (← links)
- A Penalized Likelihood Approach for Bivariate Conditional Normal Models for Dynamic Co-expression Analysis (Q3008891) (← links)
- Simultaneous Variable and Covariance Selection With the Multivariate Spike-and-Slab LASSO (Q3391213) (← links)
- More powerful genetic association testing via a new statistical framework for integrative genomics (Q3465366) (← links)
- A sparse ising model with covariates (Q3465372) (← links)
- (Q4558531) (← links)
- Multiple Testing of Submatrices of a Precision Matrix With Applications to Identification of Between Pathway Interactions (Q4690961) (← links)
- (Q4969131) (← links)
- Bayesian Structure Learning in Multilayered Genomic Networks (Q4999136) (← links)
- A partial graphical model with a structural prior on the direct links between predictors and responses (Q5000397) (← links)
- Covariate adaptive familywise error rate control for genome-wide association studies (Q5022671) (← links)
- Bayesian Estimation of Gaussian Conditional Random Fields (Q5037819) (← links)
- Covariate-adjusted Gaussian graphical model estimation with false discovery rate control (Q5079837) (← links)
- Variable screening in multivariate linear regression with high-dimensional covariates (Q5880134) (← links)
- Bayesian Edge Regression in Undirected Graphical Models to Characterize Interpatient Heterogeneity in Cancer (Q5885074) (← links)
- Minimax powerful functional analysis of covariance tests with application to longitudinal genome‐wide association studies (Q5889497) (← links)
- Frequentist Model Averaging for Undirected Gaussian Graphical Models (Q6079689) (← links)
- Bayesian sparse seemingly unrelated regressions model with variable selection and covariance estimation via the horseshoe+ (Q6080791) (← links)
- Decomposition of Covariate-Dependent Graphical Models with Categorical Data (Q6122957) (← links)
- Estimation and inference in sparse multivariate regression and conditional Gaussian graphical models under an unbalanced distributed setting (Q6200890) (← links)
- Bayesian feature selection in high-dimensional regression in presence of correlated noise (Q6537799) (← links)
- Semiparametric Bayes conditional graphical models for imaging genetics applications (Q6539192) (← links)
- Algorithm 1042: sparse precision matrix estimation with \texttt{SQUIC} (Q6604166) (← links)
- Estimation of graphical models: an overview of selected topics (Q6612364) (← links)
- Conditional Gaussian graphical model for estimating personalized disease symptom networks (Q6622258) (← links)
- Covariate-Assisted Bayesian Graph Learning for Heterogeneous Data (Q6631698) (← links)