Pages that link to "Item:Q1877000"
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The following pages link to Sparse graphical models for exploring gene expression data (Q1877000):
Displaying 50 items.
- HdBCS (Q41598) (← links)
- A sparse conditional Gaussian graphical model for analysis of genetical genomics data (Q80801) (← links)
- The Hardness of Conditional Independence Testing and the Generalised Covariance Measure (Q118262) (← links)
- Estimation of multiple networks in Gaussian mixture models (Q156054) (← links)
- Sparse factor model for co-expression networks with an application using prior biological knowledge (Q306641) (← links)
- Bayesian selection of graphical regulatory models (Q313139) (← links)
- Graphical models via joint quantile regression with component selection (Q321929) (← links)
- Sensitivity to hyperprior parameters in Gaussian Bayesian networks (Q392077) (← links)
- Modeling dependent gene expression (Q439142) (← links)
- Multiple testing and error control in Gaussian graphical model selection (Q449776) (← links)
- The use of unlabeled data in predictive modeling (Q449861) (← links)
- Posterior convergence rates for estimating large precision matrices using graphical models (Q470497) (← links)
- Bayesian sparse graphical models for classification with application to protein expression data (Q484003) (← links)
- Bayesian graphical models for differential pathways (Q516442) (← links)
- Learning Gaussian graphical models with fractional marginal pseudo-likelihood (Q518603) (← links)
- Bayesian hierarchical modeling for signaling pathway inference from single cell interventional data (Q641127) (← links)
- Bayesian learning of Bayesian networks with informative priors (Q841633) (← links)
- Robust Bayesian graphical modeling using Dirichlet \(t\)-distributions (Q899035) (← links)
- Gibbs ensembles for nearly compatible and incompatible conditional models (Q901555) (← links)
- Gibbs posterior for variable selection in high-dimensional classification and data mining (Q955139) (← links)
- Enumerating the decomposable neighbors of a decomposable graph under a simple perturbation scheme (Q961265) (← links)
- Learning the structure of dynamic Bayesian networks from time series and steady state measurements (Q1009260) (← links)
- Sparse pathway-based prediction models for high-throughput molecular data (Q1663097) (← links)
- On the relation between the true and sample correlations under Bayesian modelling of gene expression datasets (Q1672828) (← links)
- Maximum likelihood threshold and generic completion rank of graphs (Q1716000) (← links)
- An efficient algorithm for sparse inverse covariance matrix estimation based on dual formulation (Q1796959) (← links)
- Bootstrap inference for network construction with an application to a breast cancer microarray study (Q1951540) (← links)
- Estimation of Gaussian graphs by model selection (Q1951762) (← links)
- Inferring sparse Gaussian graphical models with latent structure (Q1951974) (← links)
- Building hyper Dirichlet processes for graphical models (Q1951978) (← links)
- Sparse covariance estimation in heterogeneous samples (Q1952215) (← links)
- Bayesian structure learning in graphical models (Q2018602) (← links)
- Sparse estimation of high-dimensional inverse covariance matrices with explicit eigenvalue constraints (Q2059164) (← links)
- Bayesian graphical models for modern biological applications (Q2152185) (← links)
- Gaussian graphical modeling for spectrometric data analysis (Q2157502) (← links)
- Bayesian graph selection consistency under model misspecification (Q2214264) (← links)
- Network exploration via the adaptive LASSO and SCAD penalties (Q2270657) (← links)
- Hierarchical normalized completely random measures for robust graphical modeling (Q2290716) (← links)
- Structural learning of contemporaneous dependencies in graphical VAR models (Q2291312) (← links)
- Graphical models for zero-inflated single cell gene expression (Q2318662) (← links)
- Linear estimating equations for exponential families with application to Gaussian linear concentration models (Q2341892) (← links)
- Experiments in stochastic computation for high-dimensional graphical models (Q2381758) (← links)
- Sparse seemingly unrelated regression modelling: applications in finance and econometrics (Q2445741) (← links)
- Bayesian variable selection for high dimensional generalized linear models: convergence rates of the fitted densities (Q2456008) (← links)
- Bayesian Approaches for Large Biological Networks (Q2800194) (← links)
- Estimating Bayesian networks for high-dimensional data with complex mean structure and random effects (Q2802789) (← links)
- A Gaussian graphical model approach to climate networks (Q2821530) (← links)
- A multilevel framework for sparse optimization with application to inverse covariance estimation and logistic regression (Q2830631) (← links)
- (Q2987347) (← links)
- Finding the minimal set for collapsible graphical models (Q3082304) (← links)
