Pages that link to "Item:Q3707158"

The following pages link to Selection of Subsets of Regression Variables (Q3707158):

Displaying 35 items.

• Variable selection for general index models via sliced inverse regression (Q480962) (← links)
• Supersparse linear integer models for optimized medical scoring systems (Q506427) (← links)
• Conditional p-values for the F-statistic in a forward selection procedure (Q672522) (← links)
• All possible subset regressions using the QR decomposition (Q804185) (← links)
• Controlling the false discovery rate via knockoffs (Q888503) (← links)
• A graph approach to generate all possible regression submodels (Q1020883) (← links)
• Reducing bias in parameter estimates from stepwise regression in proportional hazards regression with right-censored data (Q1029797) (← links)
• Empirical modeling in dynamic econometrics (Q1083014) (← links)
• Wrappers for feature subset selection (Q1127360) (← links)
• On model selection in the computer age (Q1262043) (← links)
• Search for the best decision rules with the help of a probabilistic estimate (Q1354081) (← links)
• Variable selection for structural models (Q1866230) (← links)
• Evaluating the impact of exploratory procedures in regression prediction: A pseudosample approach (Q1896164) (← links)
• Machine learning-based surrogate modeling for data-driven optimization: a comparison of subset selection for regression techniques (Q2182781) (← links)
• Subset selection for multiple linear regression via optimization (Q2182858) (← links)
• Transformation-based model averaged tail area inference (Q2259818) (← links)
• Variable selection for regression models (Q2736873) (← links)
• The large-sample performance of backwards variable elimination (Q3183855) (← links)
• Adjusting Stepwise<i>p</i>-Values in Generalized Linear Models (Q3585282) (← links)
• Robust stepwise regression (Q3591745) (← links)
• The use of conditional cutoffs in a forward selection procedure (Q3782618) (← links)
• Bayesian variable assessment (Q4223794) (← links)
• Subset selection in multiple linear regression with heavy tailed error distribution (Q4469072) (← links)
• Influential subsets on the variable selection (Q4550637) (← links)
• Mixed integer nonlinear goal programming approach to variable selection in linear regression (Q5086375) (← links)
• <i>p</i>-Value adjustment to control type I errors in linear regression models (Q5106881) (← links)
• Multi‐parameter regression survival modeling: An alternative to proportional hazards (Q5283331) (← links)
• Robust open Bayesian analysis: Overfitting, model uncertainty, and endogeneity issues in multiple regression models (Q5861043) (← links)
• Efficient variable screening for multivariate analysis (Q5929498) (← links)
• The asymptotic distribution of the proportion of correct classifications for a holdout sample in logistic regression (Q5929953) (← links)
• Subset Selection for Linear Mixed Models (Q6055757) (← links)
• On the robustness of Mallows’ <i>C_p</i> criterion (Q6116480) (← links)
• Feature Selection: From the Past to the Future (Q6487264) (← links)
• Comparing methods for estimating patient-specific treatment effects in individual patient data meta-analysis (Q6627686) (← links)
• Enhancing classification modeling through feature selection and smoothness: a conic-fused Lasso approach integrated with mean shift outlier modelling (Q6643157) (← links)