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/

Zendy Plus

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

Zendy Tools

Zendy Open

SMC (Sequential Monte Carlo) is a class of Monte Carlo algorithms forfiltering and related sequential problems. Gerber and Chopin (2015) introducedSQMC (Sequential quasi-Monte Carlo), a QMC version of SMC. This paper has twoobjectives: (a) to introduce Sequential Monte Carlo to the QMC community, whosemembers are usually less familiar with state-space models and particlefiltering; (b) to extend SQMC to the filtering of continuous-time state-spacemodels, where the latent process is a diffusion. A recurring point in the paperwill be the notion of dimension reduction, that is how to implement SQMC insuch a way that it provides good performance despite the high dimension of theproblem.

Sequential quasi-Monte Carlo: Introduction for Non-Experts, Dimension Reduction, Application to Partly Observed Diffusion Processes