Work

Tree-based prediction on incomplete data using imputation or surrogate decisions

Year: 2015

Type: article

Source: Information Sciences

DOI: 10.1016/j.ins.2015.03.018

Authors: H. Cevallos Valdiviezo, S. Van Aelst

Institutions: Ghent University, KU Leuven

Language: English

Topic: Statistical Methods and Bayesian Inference

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: green

Funder: Belgian Federal Science Policy Office

Award: StUDyS: Developing crucial Statistical methods for Understanding major complex Dynamic Systems in natural, biomedical and social sciences

OpenAlex ID: W2011764809

FWCI: 3.562

Cites: 57

Cited by: 89

Related to: 10