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

Gibbs sampling is a Markov Chain Monte Carlo sampling technique thatiteratively samples variables from their conditional distributions. There aretwo common scan orders for the variables: random scan and systematic scan. Dueto the benefits of locality in hardware, systematic scan is commonly used, eventhough most statistical guarantees are only for random scan. While it has beenconjectured that the mixing times of random scan and systematic scan do notdiffer by more than a logarithmic factor, we show by counterexample that thisis not the case, and we prove that that the mixing times do not differ by morethan a polynomial factor under mild conditions. To prove these relative bounds,we introduce a method of augmenting the state space to study systematic scanusing conductance.

Scan Order in Gibbs Sampling: Models in Which it Matters and Bounds on How Much