Using Storm for scaleable sequential statistical inference
Loading...
Date
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Access
openAccess
Embargo end date
Citation
Wilson, S.P., Mai, T., Cogan, P., Bhattacharya, A., Aslett, L., O'Riordain, S. and Roetzer, G., Using Storm for scaleable sequential statistical inference, Proceedings of CompStat 2014, CompStat 2014, Geneva, 17 - 20/08/2014, 2014
Abstract
This article describes Storm, an environment for doing streaming data analysis.
Two examples of sequential data analysis | computation of a running summary statistic and
sequential updating of a posterior distribution | are implemented and their performance is
investigated.
Description
PUBLISHED
Geneva
Geneva
Collections
Endorsement
Review
Supplemented By
Referenced By
Keywords
Sponsor: Science Foundation Ireland (SFI)
Grant Number: 12/RC/2289
Author's Homepage: http://people.tcd.ie/swilson
Other Titles: Proceedings of CompStat 2014
Type of material: Conference Paper

