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 present a method for drawing isolines indicating regions of equal jointexceedance probability for bivariate data. The method relies on bivariateregular variation, a dependence framework widely used for extremes. Thisframework enables drawing isolines corresponding to very low exceedanceprobabilities and these lines may lie beyond the range of the data. The methodwe utilize for characterizing dependence in the tail is largely nonparametric.Furthermore, we extend this method to the case of asymptotic independence andpropose a procedure which smooths the transition from asymptotic independencein the interior to the first-order behavior on the axes. We propose adiagnostic plot for assessing isoline estimate and choice of smoothing, and abootstrap procedure to visually assess uncertainty.

A Nonparametric Method for Producing Isolines of Bivariate Exceedance Probabilities