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Redundancy of Exchangeable Estimators

Descriptive

TypeOfResource
Text
TitleInfo
Title
Redundancy of Exchangeable Estimators
Name (type = personal)
NamePart (type = family)
Santhanam
NamePart (type = given)
Narayana P.
Role
RoleTerm (authority = marcrt); (type = text)
author
Name (authority = orcid); (authorityURI = http://id.loc.gov/vocabulary/identifiers/orcid.html); (type = personal); (valueURI = http://orcid.org/0000-0001-6123-5282)
NamePart (type = family)
Sarwate
NamePart (type = given)
Anand D.
Affiliation
Electrical and Computer Engineering, Rutgers University
Role
RoleTerm (authority = marcrt); (type = text)
author
Name (type = personal)
NamePart (type = family)
Woo
NamePart (type = given)
Jae Oh
Role
RoleTerm (authority = marcrt); (type = text)
author
Name (authority = RutgersOrg-Department); (type = corporate)
NamePart
Electrical and Computer Engineering
Name (authority = RutgersOrg-School); (type = corporate)
NamePart
School of Engineering
Genre (authority = RULIB-FS)
Article, Refereed
Genre (authority = NISO JAV)
Version of Record (VoR)
Note (type = peerReview)
Peer reviewed
OriginInfo
DateCreated (encoding = w3cdtf); (keyDate = yes); (qualifier = exact)
2014
Publisher
MDPI
Abstract (type = Abstract)
Exchangeable random partition processes are the basis for Bayesian approaches to statistical inference in large alphabet settings. On the other hand, the notion of the pattern of a sequence provides an information-theoretic framework for data compression in large alphabet scenarios. Because data compression and parameter estimation are intimately related, we study the redundancy of Bayes estimators coming from Poisson–Dirichlet priors (or “Chinese restaurant processes”) and the Pitman–Yor prior. This provides an understanding of these estimators in the setting of unknown discrete alphabets from the perspective of universal compression. In particular, we identify relations between alphabet sizes and sample sizes where the redundancy is small, thereby characterizing useful regimes for these estimators.
Language
LanguageTerm (authority = ISO 639-3:2007); (type = text)
English
PhysicalDescription
InternetMediaType
application/pdf
Extent
19 p.
Extension
DescriptiveEvent
Type
Citation
DateTime (encoding = w3cdtf)
2014
AssociatedObject
Name
Entropy
Type
Journal
Relationship
Has part
Detail
5339-5357
Identifier (type = volume and issue)
16(10)
Reference (type = url)
http://dx.doi.org/10.3390/e16105339
Extension
DescriptiveEvent
Type
Grant award
AssociatedEntity
Role
Funder
Name
National Science Foundation
AssociatedEntity
Role
Originator
Name
Narayana P. Santhanam
AssociatedObject
Type
Grant number
Name
CCF-1018984
AssociatedObject
Type
Grant number
Name
CCF-1065632
Extension
DescriptiveEvent
Type
Grant award
AssociatedEntity
Role
Funder
Name
California Institute for Telecommunications and Information Techology
AssociatedEntity
Role
Originator
Name
Anand D. Sarwate
Extension
DescriptiveEvent
Type
Grant award
AssociatedEntity
Role
Funder
Name
National Science Foundation
AssociatedEntity
Role
Originator
Name
Jae Oh Woo
AssociatedObject
Type
Grant number
Name
CCF-1065494
AssociatedObject
Type
Grant number
Name
CCF-1346564
Subject (authority = LCSH)
Topic
Estimation theory
Subject (authority = local)
Topic
Exchangeability
Subject
Topic
Pitman-Yor process
Subject (authority = local)
Topic
Poisson-Dirichlet process
RelatedItem (type = host)
TitleInfo
Title
Sarwate, Anand D.
Identifier (type = local)
rucore30159700001
Location
PhysicalLocation (authority = marcorg); (displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Identifier (type = doi)
doi:10.7282/T3CF9RT8
Genre (authority = ExL-Esploro)
Journal Article
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Rights

RightsHolder (type = personal)
Name
FamilyName
Santhanam
GivenName
Narayana
MiddleName
P.
Role
Copyright holder
RightsHolder (type = personal)
Name
FamilyName
Sarwate
GivenName
Anand
MiddleName
D.
Role
Copyright holder
RightsHolder (type = personal)
Name
FamilyName
Woo
GivenName
Jae
MiddleName
Oh
Role
Copyright holder
RightsDeclaration (AUTHORITY = FS); (ID = rulibRdec0004)
Copyright for scholarly resources published in RUcore is retained by the copyright holder. By virtue of its appearance in this open access medium, you are free to use this resource, with proper attribution, in educational and other non-commercial settings. Other uses, such as reproduction or republication, may require the permission of the copyright holder.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
RightsEvent
Type
Permission or license
AssociatedObject
Type
License
Name
Multiple author license v. 1
Detail
I hereby grant to Rutgers, The State University of New Jersey (Rutgers) the non-exclusive right to retain, reproduce, and distribute the deposited work (Work) in whole or in part, in and from its electronic format, without fee. This agreement does not represent a transfer of copyright to Rutgers.Rutgers may make and keep more than one copy of the Work for purposes of security, backup, preservation, and access and may migrate the Work to any medium or format for the purpose of preservation and access in the future. Rutgers will not make any alteration, other than as allowed by this agreement, to the Work.I represent and warrant to Rutgers that the Work is my original work. I also represent that the Work does not, to the best of my knowledge, infringe or violate any rights of others.I further represent and warrant that I have obtained all necessary rights to permit Rutgers to reproduce and distribute the Work and that any third-party owned content is clearly identified and acknowledged within the Work.By granting this license, I acknowledge that I have read and agreed to the terms of this agreement and all related RUcore and Rutgers policies.
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Technical

RULTechMD (ID = TECHNICAL1)
ContentModel
Document
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