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 investigate stochastic Volterra equations and their limiting laws. Thestochastic Volterra equations we consider are driven by a Hilbert space valued\Levy noise and integration kernels may have non-linear dependence on thecurrent state of the process. Our method is based on an embedding into aHilbert space of functions which allows to represent the solution of theVolterra equation as the boundary value of a solution to a stochastic partialdifferential equation. We first gather abstract results and give more detailedconditions in more specific function spaces.

Stochastic Volterra integral equations and a class of first order stochastic partial differential equations