# Imputation of Missing Data Using Linear Gaussian Cluster-Weighted Modeling

@inproceedings{MasmelaCaita2021ImputationOM, title={Imputation of Missing Data Using Linear Gaussian Cluster-Weighted Modeling}, author={Luis Alejandro Masmela-Caita and Thais P. Galletti and Marcos Oliveira Prates}, year={2021} }

Missing data theory deals with the statistical methods in the occurrence of missing data. Missing data occurs when some values are not stored or observed for variables of interest. However, most of the statistical theory assumes that data is fully observed. An alternative to deal with incomplete databases is to fill in the spaces corresponding to the missing information based on some criteria, this technique is called imputation. We introduce a new imputation methodology for databases with…

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