Canonical correlation analysis on data with censoring and error information
(2013)
Journal Article
Sun, J., & Keates, S. (2013). Canonical correlation analysis on data with censoring and error information. IEEE Transactions on Neural Networks and Learning Systems, 24(12), 1909-1919. https://doi.org/10.1109/TNNLS.2013.2262949
We developed a probabilistic model for canonical correlation analysis in the case when the associated datasets are incomplete. This case can arise where data entries either contain measurement errors or are censored (i.e., nonignorable missing) due t... Read More about Canonical correlation analysis on data with censoring and error information.