English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Dimension reduction is a common strategy in multivariate data analysis whichseeks a subspace which contains all interesting features needed for thesubsequent analysis. Non-Gaussian component analysis attempts for this purposeto divide the data into a non-Gaussian part, the signal, and a Gaussian part,the noise. We will show that the simultaneous use of two scatter functionalscan be used for this purpose and suggest a bootstrap test to test the dimensionof the non-Gaussian subspace. Sequential application of the test can then forexample be used to estimate the signal dimension.

Non-Gaussian component analysis: testing the dimension of the signal subspace