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 44 items.
- Majority vote for distributed differentially private sign selection (Q6621542) (← links)
- Conditional Gaussian graphical model for estimating personalized disease symptom networks (Q6622258) (← links)
- Nonparametric Finite Mixture of Gaussian Graphical Models (Q6622458) (← links)
- Variable selection in linear regression models: choosing the best subset is not always the best choice (Q6625369) (← links)
- Adaptive Testing for Alphas in High-Dimensional Factor Pricing Models (Q6626232) (← links)
- Consistent skinny Gibbs in probit regression (Q6626714) (← links)
- Inference for high-dimensional linear expectile regression with de-biasing method (Q6626721) (← links)
- Varying-coefficients for regional quantile via KNN-based LASSO with applications to health outcome study (Q6626913) (← links)
- Assisted graphical model for gene expression data analysis (Q6627100) (← links)
- Structure estimation of binary graphical models on stratified data: application to the description of injury tables for victims of road accidents (Q6627153) (← links)
- Optimized variable selection via repeated data splitting (Q6627418) (← links)
- Learning genetic and environmental graphical models from family data (Q6627438) (← links)
- Inferring latent heterogeneity using many feature variables supervised by survival outcome (Q6628098) (← links)
- Markov neighborhood regression for statistical inference of high-dimensional generalized linear models (Q6628530) (← links)
- Transfer learning in high-dimensional semiparametric graphical models with application to brain connectivity analysis (Q6628537) (← links)
- Oracle-net for nonlinear compressed sensing in electrical impedance tomography reconstruction problems (Q6629228) (← links)
- Causal discoveries for high dimensional mixed data (Q6629340) (← links)
- Gaussian graphical models with applications to omics analyses (Q6629360) (← links)
- Monitoring Heterogeneous Multivariate Profiles Based on Heterogeneous Graphical Model (Q6631062) (← links)
- Online Structural Change-Point Detection of High-dimensional Streaming Data via Dynamic Sparse Subspace Learning (Q6631107) (← links)
- A Covariate-Regulated Sparse Subspace Learning Model and Its Application to Process Monitoring and Fault Isolation (Q6631131) (← links)
- Bayesian Inference Using the Proximal Mapping: Uncertainty Quantification Under Varying Dimensionality (Q6631685) (← links)
- Covariate-Assisted Bayesian Graph Learning for Heterogeneous Data (Q6631698) (← links)
- Unveiling the Unobservable: Causal Inference on Multiple Derived Outcomes (Q6631715) (← links)
- Latent Multimodal Functional Graphical Model Estimation (Q6631720) (← links)
- Graphical Model Inference with Erosely Measured Data (Q6631725) (← links)
- Adaptive Convex Clustering of Generalized Linear Models With Application in Purchase Likelihood Prediction (Q6631878) (← links)
- Dynamic Multivariate Functional Data Modeling via Sparse Subspace Learning (Q6631896) (← links)
- Integrating additional knowledge into the estimation of graphical models (Q6637073) (← links)
- Significance tests for boosted location and scale models with linear base-learners (Q6637197) (← links)
- Sparse parameter identification for stochastic systems based on \(L_\gamma\) regularization (Q6640587) (← links)
- Focused estimation and model averaging with penalization methods: an overview (Q6647314) (← links)
- Discovery and Inference of a Causal Network with Hidden Confounding (Q6651361) (← links)
- A Decorrelating and Debiasing Approach to Simultaneous Inference for High-Dimensional Confounded Models (Q6651390) (← links)
- Identifiability and Consistent Estimation for Gaussian Chain Graph Models (Q6651417) (← links)
- Bayesian Structure Learning in Undirected Gaussian Graphical Models: Literature Review with Empirical Comparison (Q6651425) (← links)
- Dynamic undirected graphical models for time-varying clinical symptom and neuroimaging networks (Q6656310) (← links)
- Model selection for Markov random fields on graphs under a mixing condition (Q6657407) (← links)
- Analysis of heterogeneous networks with unknown dependence structure (Q6661068) (← links)
- Phase transition and higher order analysis of \(L_q\) regularization under dependence (Q6663352) (← links)
- Variable selection in high dimensional linear regressions with parameter instability (Q6664675) (← links)
- Consistent causal inference for high-dimensional time series (Q6664676) (← links)
- Learning brain connectivity in social cognition with dynamic network regression (Q6665520) (← links)
- On Lasso and adaptive Lasso for non-random sample in credit scoring (Q6669955) (← links)
