Article ID Journal Published Year Pages File Type
416410 Computational Statistics & Data Analysis 2012 14 Pages PDF
Abstract

We present expectation–maximization (EM) algorithms for fitting multivariate Gaussian mixture models to data that are truncated, censored or truncated and censored. These two types of incomplete measurements are naturally handled together through their relation to the multivariate truncated Gaussian distribution. We illustrate our algorithms on synthetic and flow cytometry data.

Related Topics
Physical Sciences and Engineering Computer Science Computational Theory and Mathematics
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