[IP2-1-2] Data imputation

Data imputation refers to a scheme of replacing missing values by imputed values. Imputation can be done, for example with mean, median and mode. Imputation methods can efficiently predict multiple response variables simultaneously.

External resources

• Hudak, A. T., Crookston, N. L., Evans, J. S., Hall, D. E., & Falkowski, M. J. (2008). Nearest neighbor imputation of species-level, plot-scale forest structure attributes from LiDAR data. Remote Sensing of Environment, 112(5), 2232-2245. doi:https://doi.org/10.1016/j.rse.2007.10.009
• Schmitt, P., Mandel, J., & Guedj, M. (2015). A comparison of six methods for missing data imputation. Journal of Biometrics & Biostatistics, 6, 1.

Learning outcomes

• 1149 - Discuss imputation methods for filling in missing data

  Discuss imputation methods for filling in missing data

Self assessment

Outgoing relations

• [IP2-1-2] Data imputation subclassof [IP2-1] Data fusion

Contributors

• Florian Albrecht
  https://www.researchgate.net/profile/Florian_Albrecht
• Mariana Belgiu
  https://research.utwente.nl/en/persons/mariana-belgiu
• Stefan Lang
  https://www.uni-salzburg.at/index.php?id=32483&L=1