Pages that link to "Item:Q96604"
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The following pages link to Variable selection in high-dimensional linear models: partially faithful distributions and the PC-simple algorithm (Q96604):
Displaying 30 items.
- pcalg (Q18210) (← links)
- Variable selection for partially linear models via partial correlation (Q96600) (← links)
- TPCselect (Q96605) (← links)
- Variable selection for survival data with a class of adaptive elastic net techniques (Q294255) (← links)
- Statistical significance in high-dimensional linear models (Q373525) (← links)
- Goodness-of-fit testing-based selection for large-\(p\)-small-\(n\) problems: a two-stage ranking approach (Q393551) (← links)
- Bayesian high-dimensional screening via MCMC (Q466528) (← links)
- Model-free variable selection for conditional mean in regression (Q830544) (← links)
- High-dimensional additive modeling (Q1043712) (← links)
- Using random subspace method for prediction and variable importance assessment in linear regression (Q1621353) (← links)
- Simultaneous variable selection and smoothing for high-dimensional function-on-scalar regression (Q1711594) (← links)
- Covariance-insured screening (Q1727857) (← links)
- Quantile-adaptive model-free variable screening for high-dimensional heterogeneous data (Q1952454) (← links)
- Variable selection for partially linear models via Bayesian subset modeling with diffusing prior (Q2022563) (← links)
- High-dimensional variable selection via low-dimensional adaptive learning (Q2044323) (← links)
- Estimation of conditional mean operator under the bandable covariance structure (Q2136639) (← links)
- Dependence in elliptical partial correlation graphs (Q2233572) (← links)
- Consistency of Bayesian linear model selection with a growing number of parameters (Q2276179) (← links)
- Goodness-of-fit tests for high-dimensional Gaussian linear models (Q2380086) (← links)
- Causal statistical inference in high dimensions (Q2392815) (← links)
- Endogeneity in high dimensions (Q2510821) (← links)
- Variable selection in high-dimensional partly linear additive models (Q3145401) (← links)
- A Model-Averaging Approach for High-Dimensional Regression (Q4975348) (← links)
- Semi-Standard Partial Covariance Variable Selection When Irrepresentable Conditions Fail (Q5041338) (← links)
- Markov Neighborhood Regression for High-Dimensional Inference (Q5881128) (← links)
- Sequential change point detection for high‐dimensional data using nonconvex penalized quantile regression (Q6091721) (← links)
- High-dimensional linear mixed model selection by partial correlation (Q6164710) (← links)
- Enmsp: an elastic-net multi-step screening procedure for high-dimensional regression (Q6494423) (← links)
- A data-driven approach to conditional screening of high-dimensional variables (Q6539179) (← links)
- Variable selection for generalized linear model with highly correlated covariates (Q6580088) (← links)
