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

This paper introduces the {\it particle swarm filter} (not to be confusedwith particle swarm optimization): a recursive and embarrassingly parallelalgorithm that targets an approximation to the sequence of posterior predictivedistributions by averaging expectation approximations from many particlefilters. A law of large numbers and a central limit theorem are provided, aswell as an numerical study of simulated data from a stochastic volatilitymodel.

Approximating Posterior Predictive Distributions by Averaging Output From Many Particle Filters