Query: title:(Phase transition in PCA with missing data\: Reduced signal-to-noise ratio, not sample size!), Author: Ipsen

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title:(Phase transition in PCA with missing data\: Reduced signal-to-noise ratio, not sample size!) Author: Ipsen

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Interpreted as:

title:(Phase AND transition AND in AND PCA AND with AND missing AND data\: AND Reduced AND signal-to-noise AND ratio AND not AND sample AND size\!)

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1 Conference paper

Phase transition in PCA with missing data: Reduced signal-to-noise ratio, not sample size!

Ipsen, Niels Bruun; Hansen, Lars Kai

Proceedings of Machine Learning Research — 2019, pp. 5248-5260

and Mietzner, 1993). Here we generalize this analysis to include missing data. Probabilistic principal component analysis is regularly used for estimating signal structures in datasets with missing data. Our analytic result suggests that the effect of missing data is to effectively reduce signal-to-noise ratio

Year: 2019

Language: English

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2 Preprint article

Phase transition in PCA with missing data: Reduced signal-to-noise ratio, not sample size!