Pages that link to "Item:Q2880959"

The following pages link to Ultrahigh dimensional feature selection: beyond the linear model (Q2880959):

Displaying 50 items.

• Model-free sure screening via maximum correlation (Q276978) (← links)
• Local independence feature screening for nonparametric and semiparametric models by marginal empirical likelihood (Q282446) (← links)
• Feature selection when there are many influential features (Q396025) (← links)
• UPS delivers optimal phase diagram in high-dimensional variable selection (Q450021) (← links)
• Independent feature screening for ultrahigh-dimensional models with interactions (Q488604) (← links)
• On marginal sliced inverse regression for ultrahigh dimensional model-free feature selection (Q510686) (← links)
• Profile forward regression screening for ultra-high dimensional semiparametric varying coefficient partially linear models (Q512003) (← links)
• Robust rank screening for ultrahigh dimensional discriminant analysis (Q518270) (← links)
• Sure feature screening for high-dimensional dichotomous classification (Q525910) (← links)
• Robust rank correlation based screening (Q693749) (← links)
• Tight conditions for consistency of variable selection in the context of high dimensionality (Q741803) (← links)
• Conditional distance correlation screening for sparse ultrahigh-dimensional models (Q821654) (← links)
• Censored mean variance sure independence screening for ultrahigh dimensional survival data (Q830110) (← links)
• A scalable surrogate \(L_0\) sparse regression method for generalized linear models with applications to large scale data (Q830734) (← links)
• Model selection and structure specification in ultra-high dimensional generalised semi-varying coefficient models (Q892254) (← links)
• Robust model-free feature screening via quantile correlation (Q900833) (← links)
• On selecting interacting features from high-dimensional data (Q1621350) (← links)
• Censored cumulative residual independent screening for ultrahigh-dimensional survival data (Q1642144) (← links)
• Feature selection of ultrahigh-dimensional covariates with survival outcomes: a selective review (Q1650703) (← links)
• Ultrahigh dimensional feature screening via projection (Q1658358) (← links)
• Correlation rank screening for ultrahigh-dimensional survival data (Q1658466) (← links)
• Model free feature screening for ultrahigh dimensional data with responses missing at random (Q1658537) (← links)
• Feature screening for generalized varying coefficient models with application to dichotomous responses (Q1659028) (← links)
• A new nonparametric screening method for ultrahigh-dimensional survival data (Q1662088) (← links)
• Robust feature screening for ultra-high dimensional right censored data via distance correlation (Q1662094) (← links)
• Model-free conditional independence feature screening for ultrahigh dimensional data (Q1702189) (← links)
• Model-free feature screening for ultrahigh dimensional censored regression (Q1703810) (← links)
• Portal nodes screening for large scale social networks (Q1740287) (← links)
• Variable screening for ultrahigh dimensional heterogeneous data via conditional quantile correlations (Q1742727) (← links)
• Model-free feature screening for ultrahigh-dimensional data conditional on some variables (Q1744707) (← links)
• Hypothesis testing sure independence screening for nonparametric regression (Q1746539) (← links)
• Towards scalable fuzzy-rough feature selection (Q1750063) (← links)
• Nonparametric independence feature screening for ultrahigh-dimensional survival data (Q1785798) (← links)
• Majorization-minimization algorithms for nonsmoothly penalized objective functions (Q1952099) (← links)
• Quantile-adaptive model-free variable screening for high-dimensional heterogeneous data (Q1952454) (← links)
• Model-free feature screening for high-dimensional survival data (Q1989891) (← links)
• Debiasing the Lasso: optimal sample size for Gaussian designs (Q1991670) (← links)
• A note on quantile feature screening via distance correlation (Q2010823) (← links)
• Feature screening based on distance correlation for ultrahigh-dimensional censored data with covariate measurement error (Q2032190) (← links)
• An efficient algorithm for joint feature screening in ultrahigh-dimensional Cox's model (Q2032191) (← links)
• Model-free feature screening via distance correlation for ultrahigh dimensional survival data (Q2062408) (← links)
• Sure independence screening in the presence of missing data (Q2066525) (← links)
• Conditional screening for ultrahigh-dimensional survival data in case-cohort studies (Q2074082) (← links)
• Distribution-free and model-free multivariate feature screening via multivariate rank distance correlation (Q2079620) (← links)
• A sequential feature selection procedure for high-dimensional Cox proportional hazards model (Q2087405) (← links)
• Unified mean-variance feature screening for ultrahigh-dimensional regression (Q2095721) (← links)
• A split-and-conquer variable selection approach for high-dimensional general semiparametric models with massive data (Q2111067) (← links)
• Asset selection based on high frequency Sharpe ratio (Q2116331) (← links)
• A general framework for tensor screening through smoothing (Q2136613) (← links)
• The backbone method for ultra-high dimensional sparse machine learning (Q2163249) (← links)