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

Starting from the observation of an R^n-Gaussian vector of mean f andcovariance matrix \sigma^2 I_n (I_n is the identity matrix), we propose amethod for building a Euclidean confidence ball around f, with prescribedprobability of coverage. For each n, we describe its nonasymptotic property andshow its optimality with respect to some criteria

Confidence balls in Gaussian regression