| dc.contributor.author | WILSON, SIMON | en |
| dc.date.accessioned | 2014-08-12T15:25:35Z | |
| dc.date.available | 2014-08-12T15:25:35Z | |
| dc.date.created | 17 - 20/08/2014 | en |
| dc.date.issued | 2014 | en |
| dc.date.submitted | 2014 | en |
| dc.identifier.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 | en |
| dc.identifier.other | Y | en |
| dc.description | PUBLISHED | en |
| dc.description | Geneva | en |
| dc.description.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. | en |
| dc.language.iso | en | en |
| dc.rights | Y | en |
| dc.subject | streaming data | en |
| dc.subject | sequential inference | en |
| dc.subject | Storm, | en |
| dc.title | Using Storm for scaleable sequential statistical inference | en |
| dc.title.alternative | Proceedings of CompStat 2014 | en |
| dc.title.alternative | CompStat 2014 | en |
| dc.type | Conference Paper | en |
| dc.type.supercollection | scholarly_publications | en |
| dc.type.supercollection | refereed_publications | en |
| dc.identifier.peoplefinderurl | http://people.tcd.ie/swilson | en |
| dc.identifier.rssinternalid | 95584 | en |
| dc.rights.ecaccessrights | openAccess | |
| dc.subject.TCDTheme | Smart & Sustainable Planet | en |
| dc.subject.TCDTag | Distributed systems | en |
| dc.subject.TCDTag | Sequential data analysis | en |
| dc.subject.TCDTag | Statistical computing | en |
| dc.contributor.sponsor | Science Foundation Ireland (SFI) | en |
| dc.contributor.sponsorGrantNumber | 12/RC/2289 | en |
| dc.identifier.uri | http://hdl.handle.net/2262/70886 | |
