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Erschienen in:
2020 | OriginalPaper | Buchkapitel
22. Sparse Factor Analysis
verfasst von : Kohei Adachi
Erschienen in: Matrix-Based Introduction to Multivariate Data Analysis
Verlag: Springer Singapore
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Abstract
In the last chapter, modified regression analysis procedures were presented, in which a coefficient vector is estimated so that it is sparse, i.e., includes a number of zero elements. Such sparse estimation can be incorporated into other multivariate analysis procedures, so as to provide sparse solutions. They can be easily interpreted, as we may only focus on their nonzero elements. As such, a number of sparse multivariate procedures have been developed, following the sparse estimation techniques developed in regression.