GRAFT, a complete system for data fusion

DOI10.1016/j.csda.2006.11.029zbMath1452.62011OpenAlexW1982993963MaRDI QIDQ1020856

David Pellicer, Tomàs Aluja-Banet, Josep Daunis-I-Estadella

Publication date: 2 June 2009

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2006.11.029

zbMATH Keywords

imputationdata fusion\(k\)-nearest neighborstatistical matching

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Software, source code, etc. for problems pertaining to statistics (62-04) Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Related Items (5)

Uncertainty analysis for statistical matching of ordered categorical variables ⋮ Evaluation of matching noise for imputation techniques based on nonparametric local linear regression estimators ⋮ Editorial: Second special issue on statistical algorithms and software ⋮ Editorial: Special issue on statistical algorithms and software ⋮ Accurate tree-based missing data imputation and data fusion within the statistical learning paradigm

Uses Software

• ElemStatLearn
• StatMatch
• Graft

Cites Work

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• File grafting in market research
• Discriminatory Analysis. Nonparametric Discrimination: Consistency Properties
• A Branch and Bound Algorithm for Computing k-Nearest Neighbors
• Inference and missing data
• Statistical Matching
• Nearest neighbor pattern classification
• The elements of statistical learning. Data mining, inference, and prediction

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