Making Kernel Density Estimation Robust towards Missing Values in Highly Incomplete Multivariate Data without Imputation

Title:: Making Kernel Density Estimation Robust towards Missing Values in Highly Incomplete Multivariate Data without Imputation
Document type:: Buchbeitrag
Author(s):: Leibrandt, Richard; Günnemann, Stephan
Book title:: Proceedings of the 2018 SIAM International Conference on Data Mining
Publisher:: Society for Industrial and Applied Mathematics
Year:: 2018
Pages:: 747-755
Print-ISBN:: 9781611975321
DOI:: doi:10.1137/1.9781611975321.84
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