INDEPENDENT COMPONENT ANALYSIS VIA NONPARAMETRIC MAXIMUM LIKELIHOOD ESTIMATION
INDEPENDENT COMPONENT ANALYSIS VIA NONPARAMETRIC MAXIMUM LIKELIHOOD ESTIMATION
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Hayward: Institute of Mathematical Statistics
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Language
English
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Hayward: Institute of Mathematical Statistics
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Independent Component Analysis (ICA) models are very popular semiparametric models in which we observe independent copies of a random vector X = AS, where A is a non-singular matrix and S has independent components. We propose a new way of estimating the unmixing matrix W = A⁻¹ and the marginal distributions of the components of S using nonparametr...
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Full title
INDEPENDENT COMPONENT ANALYSIS VIA NONPARAMETRIC MAXIMUM LIKELIHOOD ESTIMATION
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TN_cdi_projecteuclid_primary_oai_CULeuclid_euclid_aos_1360332190
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_projecteuclid_primary_oai_CULeuclid_euclid_aos_1360332190
Other Identifiers
ISSN
0090-5364
E-ISSN
2168-8966
DOI
10.1214/12-AOS1060
