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Concentration and Confidence for Discrete Bayesian Sequence Predictors

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Lattimore, Tor; Hutter, Marcus; Sunehag, Peter

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Bayesian sequence prediction is a simple technique for predicting future symbols sampled from an unknown measure on infinite sequences over a countable alphabet. While strong bounds on the expected cumulative error are known, there are only limited result

dc.contributor.authorLattimore, Tor
dc.contributor.authorHutter, Marcus
dc.contributor.authorSunehag, Peter
dc.coverage.spatialSingapore
dc.date.accessioned2015-12-10T23:18:52Z
dc.date.createdOctober 6-9 2013
dc.identifier.isbn9783642409356
dc.identifier.urihttp://hdl.handle.net/1885/65814
dc.description.abstractBayesian sequence prediction is a simple technique for predicting future symbols sampled from an unknown measure on infinite sequences over a countable alphabet. While strong bounds on the expected cumulative error are known, there are only limited result
dc.publisherSpringer Berlin
dc.relation.ispartofseries24th International Conference on Algorithmic Learning Theory ALT 13
dc.rightsCopyright Information: © Springer International Publishing Switzerland 2014. http://www.sherpa.ac.uk/romeo/issn/0302-9743/..."Author's post-print on any open access repository after 12 months after publication" from SHERPA/RoMEO site (as at 13/08/15)
dc.rightsAuthor/s retain copyright
dc.sourceAlgorithmic learning theory : 24th international conference, ALT 2013, Singapore, October 6-9 2013 : proceedings
dc.source.urihttp://link.springer.com/chapter/10.1007%2F978-3-642-40935-6_23#page-1
dc.titleConcentration and Confidence for Discrete Bayesian Sequence Predictors
dc.typeConference paper
local.description.notesImported from ARIES
local.description.refereedYes
dc.date.issued2013
local.identifier.absfor010404 - Probability Theory
local.identifier.absfor010405 - Statistical Theory
local.identifier.ariespublicationu4334215xPUB1164
local.type.statusPublished Version
local.contributor.affiliationLattimore, Tor, College of Engineering and Computer Science, ANU
local.contributor.affiliationHutter, Marcus, College of Engineering and Computer Science, ANU
local.contributor.affiliationSunehag, Peter, College of Engineering and Computer Science, ANU
local.bibliographicCitation.startpage324
local.bibliographicCitation.lastpage338
local.identifier.doi10.1007/978-3-642-40935-6_23
local.identifier.absseo970101 - Expanding Knowledge in the Mathematical Sciences
dc.date.updated2016-02-24T10:57:43Z
local.identifier.scopusID2-s2.0-84887453552
dcterms.accessRightsOpen Access
CollectionsANU Research Publications

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