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1. Identity statement
Reference TypeJournal Article
Sitemtc-m21b.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34P/3NNKJJS
Repositorysid.inpe.br/mtc-m21b/2017/04.19.13.43   (restricted access)
Last Update2017:04.19.13.43.55 (UTC) administrator
Metadata Repositorysid.inpe.br/mtc-m21b/2017/04.19.13.43.55
Metadata Last Update2018:06.04.02.27.24 (UTC) administrator
DOI10.3390/e19040150
ISSN1099-4300
Citation KeyRamosMaca:2017:MiSaSi
TitleMinimum sample size for reliable causal inference using transfer entropy
Year2017
Access Date2024, June 15
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size699 KiB
2. Context
Author1 Ramos, Antônio Mário de Torres
2 Macau, Elbert Einstein Nehrer
Resume Identifier1
2 8JMKD3MGP5W/3C9JGUT
Group1 CAP-COMP-SESPG-INPE-MCTIC-GOV-BR
2 LABAC-COCTE-INPE-MCTIC-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 antonio.ramos@inpe.br
2 elbert.macau@inpe.br
JournalEntropy
Volume19
Number4
History (UTC)2017-04-19 13:44:16 :: simone -> administrator :: 2017
2018-06-04 02:27:24 :: administrator -> simone :: 2017
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsBias analysis
Coupled autoregressive-moving-average (ARMA) model
Coupled logistic maps
Multiple comparison analysis
Transfer entropy
AbstractTransfer Entropy has been applied to experimental datasets to unveil causality between variables. In particular, its application to non-stationary systems has posed a great challenge due to restrictions on the sample size. Here, we have investigated the minimum sample size that produces a reliable causal inference. The methodology has been applied to two prototypical models: the linear model autoregressive-moving average and the non-linear logistic map. The relationship between the Transfer Entropy value and the sample size has been systematically examined. Additionally, we have shown the dependence of the reliable sample size and the strength of coupling between the variables. Our methodology offers a realistic lower bound for the sample size to produce a reliable outcome. © 2017 by the authors.
AreaCOMP
Arrangement 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > LABAC > Minimum sample size...
Arrangement 2urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > CAP > Minimum sample size...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
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4. Conditions of access and use
Languageen
Target Fileramos_minimum.pdf
User Groupsimone
Reader Groupadministrator
simone
Visibilityshown
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/3ESGTTP
8JMKD3MGPCW/3F2PHGS
Citing Item Listsid.inpe.br/bibdigital/2013/10.12.22.16 13
sid.inpe.br/bibdigital/2013/09.22.23.14 4
sid.inpe.br/mtc-m21/2012/07.13.14.45.07 3
DisseminationWEBSCI; SCOPUS.
Host Collectionsid.inpe.br/mtc-m21b/2013/09.26.14.25.20
6. Notes
Empty Fieldsalternatejournal archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark mirrorrepository month nextedition notes orcid pages parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey secondarymark session shorttitle sponsor subject tertiarymark tertiarytype url
7. Description control
e-Mail (login)simone
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