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 Tools annual

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 Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

The field of property testing originated in work on program checking, and has evolved into an established and very active research area. In this work, we survey the developments of one of its most recent and prolific offsprings, distribution testing. This subfield, at the junction of property testing and Statistics, is concerned with studying properties of probability distributions. We cover the current status of distribution testing in several settings, starting with the traditional sampling model where the algorithm obtains independent samples from the distribution. We then discuss different recent models, which either grant the testing algorithms more powerful types of queries, or evaluate their performance against that of an information-theoretically optimal “adversary” (for a given number of samples). In each setting, we describe the state of the art for a variety of testing problems. We hope this survey will serve as a self-contained introduction for those considering research in this field. ∗Research supported by NSF CCF-1115703 and NSF CCF-1319788. ACM Classification: G.3, F.2.2 AMS Classification: 68Q32, 68W20, 68Q17, 68Q87

A Survey on Distribution Testing: Your Data is Big. But is it Blue?