Correlation and variable importance in random forests

Correlated variables in regression: Clustering and sparse estimation

(2013) Peter Bühlmann et al.   JOURNAL OF STATISTICAL PLANNING AND INFERENCE

A new variable selection approach using Random Forests

(2012) A. Hapfelmeier et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

A Survey on Filter Techniques for Feature Selection in Gene Expression Microarray Analysis

(2012) C. Lazar et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

Classification with correlated features: unreliability of feature ranking and solutions

(2011) Laura Toloşi et al.   BIOINFORMATICS

Letter to the Editor: On the stability and ranking of predictors from random forest variable importance measures

(2011) K. K. Nicodemus   BRIEFINGS IN BIOINFORMATICS

Variable selection in model-based discriminant analysis

(2011) C. Maugis et al.   JOURNAL OF MULTIVARIATE ANALYSIS

The behaviour of random forest permutation-based variable importance measures under predictor correlation

(2010) Kristin K Nicodemus et al.   BMC BIOINFORMATICS

Empirical comparison of tree ensemble variable importance measures

(2010) Lidia Auret et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Stability selection

(2010) Nicolai Meinshausen et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Variable selection using random forests

(2010) Robin Genuer et al.   PATTERN RECOGNITION LETTERS

Variable Importance Assessment in Regression: Linear Regression versus Random Forest

(2009) Ulrike Grömping   AMERICAN STATISTICIAN

Predictor correlation impacts machine learning algorithms: implications for genomic studies

(2009) K. K. Nicodemus et al.   BIOINFORMATICS

Conditional Variable Importance for Random Forests

(2008) Carolin Strobl et al.   BMC BIOINFORMATICS

Empirical characterization of random forest variable importance measures

(2007) Kellie J. Archer et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS