Maximum Likelihood Estimation of Mixture Densities for Binned and Truncated Multivariate Data

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Binningandtruncationofdataarecommonindataanalysisandmachinelearning.Thispaperaddresses the problem of fitting mixture densities to multivariate binned and truncated data. The EM approach proposed by McLachlan and Jones (Biometrics, 44: 2, 571

Igor V. Cadez, Padhraic Smyth, Geoffrey J. McLachl

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Fitting Mixture Densities | Machine Learning | ML 2002 | Multivariate | Straightforward Numerical Techniques |

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Added	22 Dec 2010
Updated	22 Dec 2010
Type	Journal
Year	2002
Where	ML
Authors	Igor V. Cadez, Padhraic Smyth, Geoffrey J. McLachlan, Christine E. McLaren

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Maximum Likelihood Estimation of Mixture Densities for Binned and Truncated Multivariate Data

Fitting Mixture Densities | Machine Learning | ML 2002 | Multivariate | Straightforward Numerical Techniques |

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