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

Strong laws of large numbers are established for random fields with weak orstrong dependence. These limit theorems are applicable to random fields withheavy-tailed distributions including fractional stable random fields.  The conditions for SLLN are described in terms of the $p$-th moments of thepartial sums of the random fields, which are convenient to verify. The maintechnical tool in this paper is a maximal inequality for the moments of partialsums of random fields that extends the technique of Levental, Chobanyan andSalehi \cite{chobanyan-l-s} for a sequence of random variables indexed by aone-parameter.

Strong laws of large numbers for arrays of random variables and stable random fields