Recursive partitioning on incomplete data using surrogate decisions and multiple imputation
From MaRDI portal
Publication:434924
DOI10.1016/j.csda.2011.09.024zbMath1243.62092OpenAlexW1978263273MaRDI QIDQ434924
Torsten Hothorn, Kurt Ulm, Alexander Hapfelmeier
Publication date: 16 July 2012
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.csda.2011.09.024
Multivariate analysis (62H99) Classification and discrimination; cluster analysis (statistical aspects) (62H30)
Related Items
Lower confidence limit for reliability based on grouped data using a quantile-filling algorithm, Variable selection by random forests using data with missing values, Regression with missing data, a comparison study of techniques based on random forests, A new variable importance measure for random forests with missing data, Efficient permutation testing of variable importance measures by the example of random forests, Addressing the problem of missing data in decision tree modeling, Missing data imputation of questionnaires by means of genetic algorithms with different fitness functions, Stable graphical model estimation with random forests for discrete, continuous, and mixed variables
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Bagging predictors
- Impact of imputation of missing values on classification error for discrete data
- Unbiased split selection for classification trees based on the Gini index
- Analyzing bagging
- The asymptotic theory of permutation statistics.
- Multiple Imputation After 18+ Years
- Statistical Analysis of Financial Data in S-Plus
- Fully conditional specification in multivariate imputation
- Inference and missing data
- Multiple imputation of discrete and continuous data by fully conditional specification
- Random forests
