Pages that link to "Item:Q2500458"

The following pages link to High-dimensional graphs and variable selection with the Lasso (Q2500458):

Displaying 50 items.

• Detection of hubs in complex networks by the Laplacian matrix (Q2131998) (← links)
• An efficient parallel block coordinate descent algorithm for large-scale precision matrix estimation using graphics processing units (Q2135867) (← links)
• De-biasing the Lasso with degrees-of-freedom adjustment (Q2136990) (← links)
• Generalized maximum entropy based identification of graphical ARMA models (Q2139439) (← links)
• Objective Bayesian edge screening and structure selection for Ising networks (Q2141635) (← links)
• Estimating finite mixtures of ordinal graphical models (Q2141636) (← links)
• Disentangling relationships in symptom networks using matrix permutation methods (Q2141642) (← links)
• Regular vines with strongly chordal pattern of (conditional) independence (Q2142996) (← links)
• Doubly debiased Lasso: high-dimensional inference under hidden confounding (Q2148976) (← links)
• Ridge regression revisited: debiasing, thresholding and bootstrap (Q2148980) (← links)
• Bayesian graphical models for modern biological applications (Q2152185) (← links)
• Discussion to: \textit{Bayesian graphical models for modern biological applications} by Y. Ni, V. Baladandayuthapani, M. Vannucci and F.C. Stingo (Q2152188) (← links)
• A generalized likelihood-based Bayesian approach for scalable joint regression and covariance selection in high dimensions (Q2152553) (← links)
• Contraction of a quasi-Bayesian model with shrinkage priors in precision matrix estimation (Q2156815) (← links)
• De-noising analysis of noisy data under mixed graphical models (Q2161183) (← links)
• A positive-definiteness-assured block Gibbs sampler for Bayesian graphical models with shrinkage priors (Q2166027) (← links)
• Large-scale multivariate sparse regression with applications to UK Biobank (Q2170442) (← links)
• Robust post-selection inference of high-dimensional mean regression with heavy-tailed asymmetric or heteroskedastic errors (Q2172011) (← links)
• Statistical inference for model parameters in stochastic gradient descent (Q2176618) (← links)
• Differential network inference via the fused D-trace loss with cross variables (Q2180062) (← links)
• Pairwise sparse + low-rank models for variables of mixed type (Q2181716) (← links)
• Hierarchical inference for genome-wide association studies: a view on methodology with software (Q2184390) (← links)
• A fast iterative algorithm for high-dimensional differential network (Q2184396) (← links)
• Joint estimation of heterogeneous exponential Markov random fields through an approximate likelihood inference (Q2189113) (← links)
• Debiasing the debiased Lasso with bootstrap (Q2192302) (← links)
• High-dimensional joint estimation of multiple directed Gaussian graphical models (Q2192308) (← links)
• Uniform joint screening for ultra-high dimensional graphical models (Q2196128) (← links)
• Estimating sparse networks with hubs (Q2196140) (← links)
• Learning a tree-structured Ising model in order to make predictions (Q2196190) (← links)
• Robust machine learning by median-of-means: theory and practice (Q2196199) (← links)
• GRID: a variable selection and structure discovery method for high dimensional nonparametric regression (Q2196249) (← links)
• Innovated scalable dynamic learning for time-varying graphical models (Q2197611) (← links)
• A two-step method for estimating high-dimensional Gaussian graphical models (Q2197843) (← links)
• Fundamental limits of exact support recovery in high dimensions (Q2203616) (← links)
• Certifiably optimal sparse inverse covariance estimation (Q2205987) (← links)
• Sparse directed acyclic graphs incorporating the covariates (Q2208417) (← links)
• Bayesian graph selection consistency under model misspecification (Q2214264) (← links)
• Adaptive estimation in structured factor models with applications to overlapping clustering (Q2215724) (← links)
• Minimax estimation of large precision matrices with bandable Cholesky factor (Q2215744) (← links)
• Which bridge estimator is the best for variable selection? (Q2215760) (← links)
• Estimating covariance and precision matrices along subspaces (Q2219236) (← links)
• Modified LASSO estimators for time series regression models with dependent disturbances (Q2220306) (← links)
• Detecting granular time series in large panels (Q2224994) (← links)
• Sparse regression: scalable algorithms and empirical performance (Q2225311) (← links)
• Rejoinder: ``Sparse regression: scalable algorithms and empirical performance'' (Q2225319) (← links)
• Bayesian inference in nonparanormal graphical models (Q2226690) (← links)
• Ill-posed estimation in high-dimensional models with instrumental variables (Q2227078) (← links)
• Bayesian model selection for high-dimensional Ising models, with applications to educational data (Q2242152) (← links)
• On principal graphical models with application to gene network (Q2242158) (← links)
• Graph informed sliced inverse regression (Q2242175) (← links)