Anzeige
Erschienen in:
2015 | OriginalPaper | Buchkapitel
Big Data on the Rise?
Testing Monotonicity of Distributions
verfasst von : Clément L. Canonne
Erschienen in: Automata, Languages, and Programming
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
The field of property testing of probability distributions, or distribution testing, aims to provide fast and (most likely) correct answers to questions pertaining to specific aspects of very large datasets. In this work, we consider a property of particular interest,
monotonicity of distributions
. We focus on the complexity of monotonicity testing across different models of access to the distributions [
5
,
7
,
8
,
20
]; and obtain results in these new settings that differ significantly (and somewhat surprisingly) from the known bounds in the standard sampling model [
1
].