Pages that link to "Item:Q2500458"
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The following pages link to High-dimensional graphs and variable selection with the Lasso (Q2500458):
Displaying 50 items.
- High-dimensional consistency in score-based and hybrid structure learning (Q1991699) (← links)
- Model selection and local geometry (Q1996781) (← links)
- High-dimensional structure learning of binary pairwise Markov networks: a comparative numerical study (Q2007999) (← links)
- An efficient ADMM algorithm for high dimensional precision matrix estimation via penalized quadratic loss (Q2008097) (← links)
- Sparse principal component based high-dimensional mediation analysis (Q2008127) (← links)
- Rate optimal estimation and confidence intervals for high-dimensional regression with missing covariates (Q2008214) (← links)
- Inference under Fine-Gray competing risks model with high-dimensional covariates (Q2008618) (← links)
- A scalable sparse Cholesky based approach for learning high-dimensional covariance matrices in ordered data (Q2008637) (← links)
- Bayesian Lasso with neighborhood regression method for Gaussian graphical model (Q2013049) (← links)
- Bayesian structure learning in graphical models (Q2018602) (← links)
- Simultaneous feature selection and clustering based on square root optimization (Q2028812) (← links)
- An efficient algorithm for joint feature screening in ultrahigh-dimensional Cox's model (Q2032191) (← links)
- Network modeling in biology: statistical methods for gene and brain networks (Q2038287) (← links)
- A unified primal dual active set algorithm for nonconvex sparse recovery (Q2038299) (← links)
- Necessary and sufficient conditions for variable selection consistency of the Lasso in high dimensions (Q2039788) (← links)
- Efficient distributed estimation of high-dimensional sparse precision matrix for transelliptical graphical models (Q2042144) (← links)
- Consistent multiple changepoint estimation with fused Gaussian graphical models (Q2042434) (← links)
- High-dimensional variable selection via low-dimensional adaptive learning (Q2044323) (← links)
- Bayesian inference for high-dimensional decomposable graphs (Q2044345) (← links)
- Multicarving for high-dimensional post-selection inference (Q2044355) (← links)
- Graphical-model based high dimensional generalized linear models (Q2044367) (← links)
- Iteratively reweighted \(\ell_1\)-penalized robust regression (Q2044416) (← links)
- An outer-inner linearization method for non-convex and nondifferentiable composite regularization problems (Q2046332) (← links)
- \(\ell_{2,0}\)-norm based selection and estimation for multivariate generalized linear models (Q2048127) (← links)
- Second-order Stein: SURE for SURE and other applications in high-dimensional inference (Q2054467) (← links)
- Beyond covariance: SICE and kernel based visual feature representation (Q2056438) (← links)
- Confidence graphs for graphical model selection (Q2058790) (← links)
- Sparse estimation of high-dimensional inverse covariance matrices with explicit eigenvalue constraints (Q2059164) (← links)
- High dimensional change point inference: recent developments and extensions (Q2062782) (← links)
- Variable selection in functional regression models: a review (Q2062803) (← links)
- Learning social networks from text data using covariate information (Q2066718) (← links)
- Simplicial and minimal-variance distances in multivariate data analysis (Q2074654) (← links)
- In defense of the indefensible: a very naïve approach to high-dimensional inference (Q2075709) (← links)
- Confidence intervals for parameters in high-dimensional sparse vector autoregression (Q2076143) (← links)
- Smoothly adaptively centered ridge estimator (Q2078549) (← links)
- Feature selection for data integration with mixed multiview data (Q2078739) (← links)
- Network differential connectivity analysis (Q2080732) (← links)
- Phylogenetically informed Bayesian truncated copula graphical models for microbial association networks (Q2080756) (← links)
- Bankruptcy prediction: evidence from Vietnam (Q2086202) (← links)
- Information criteria bias correction for group selection (Q2093122) (← links)
- Dynamic and robust Bayesian graphical models (Q2103986) (← links)
- Nonparametric and high-dimensional functional graphical models (Q2106795) (← links)
- On skewed Gaussian graphical models (Q2111068) (← links)
- Dynamic networks with multi-scale temporal structure (Q2121707) (← links)
- Covariate-adjusted inference for differential analysis of high-dimensional networks (Q2121714) (← links)
- Regularization and variable selection in Heckman selection model (Q2122823) (← links)
- Sparse Laplacian shrinkage with the graphical Lasso estimator for regression problems (Q2125484) (← links)
- Testability of high-dimensional linear models with nonsparse structures (Q2131247) (← links)
- Sparse high-dimensional linear regression. Estimating squared error and a phase transition (Q2131259) (← links)
- Iterative algorithm for discrete structure recovery (Q2131266) (← links)
