Robust probabilistic PCA with missing data and contribution analysis for outlier detection
Chen, T, Martin, E and Montague, G (2009) Robust probabilistic PCA with missing data and contribution analysis for outlier detection COMPUTATIONAL STATISTICS & DATA ANALYSIS, 53 (10). pp. 3706-3716.
tchen09-csda.pdf - Accepted version Manuscript
Available under License : See the attached licence file.
|Divisions :||Faculty of Engineering and Physical Sciences > Chemical and Process Engineering|
|Date :||1 August 2009|
|Identification Number :||https://doi.org/10.1016/j.csda.2009.03.014|
|Uncontrolled Keywords :||Science & Technology, Technology, Physical Sciences, Computer Science, Interdisciplinary Applications, Statistics & Probability, Computer Science, Mathematics, COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS, STATISTICS & PROBABILITY, PRINCIPAL COMPONENT ANALYSIS, T-DISTRIBUTION, EM ALGORITHM, COVARIANCE, IDENTIFICATION, MATRIX, MODEL|
|Related URLs :|
|Additional Information :||NOTICE: this is the author’s version of a work that was accepted for publication in Computational Statistics and Data Analysis. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Computational Statistics and Data Analysis, 53 (10), August 2009, DOI 10.1016/j.csda.2009.03.014.|
|Depositing User :||Symplectic Elements|
|Date Deposited :||19 Dec 2011 13:21|
|Last Modified :||12 Feb 2015 02:37|
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