2 citations · 2 across the 7 of their papers we have counts for
4 papers · 1 filter
Sufficient reductions in regression with mixed predictors
Efstathia Bura, Liliana Forzani, Rodrigo García Arancibia +2
Most data sets comprise of measurements on continuous and categorical variables. In regression and classification Statistics literature, modeling high-dimensional mixed predictors…
Fusing Sufficient Dimension Reduction with Neural Networks
Daniel Kapla, Lukas Fertl, Efstathia Bura
We consider the regression problem where the dependence of the response Y on a set of predictors X is fully captured by the regression function E(Y | X)=g(B'X), for an unknown func…
Ensemble Conditional Variance Estimator for Sufficient Dimension Reduction
Lukas Fertl, Efstathia Bura
Ensemble Conditional Variance Estimation (ECVE) is a novel sufficient dimension reduction (SDR) method in regressions with continuous response and predictors. ECVE applies to gener…
Conditional Variance Estimator for Sufficient Dimension Reduction
Lukas Fertl, Efstathia Bura
Conditional Variance Estimation (CVE) is a novel sufficient dimension reduction (SDR) method for additive error regressions with continuous predictors and link function. It operate…