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 Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

We propose a flexible class of estimates for "common change in the mean" setsin spatio-temporal data. We rely on a scan type approach by subdividing thespatial observations into suitable overlapping regions to which classical CUSUM(cumulative sums) estimates may then be applied separately. The aggregated"local" estimates are used to construct consistent "global" estimates of thechange set(s) by taking the overlapping structure into account. The domain andthe change regions may have irregular shapes and the suggested procedure isespecially suited for estimation of multiple change regions. The performance isdemonstrated in a simulation study.

Algorithm for overlapping estimation of common change-sets in spatial data of fixed size