Please use this identifier to cite or link to this item: https://research.matf.bg.ac.rs/handle/123456789/2972
DC FieldValueLanguage
dc.contributor.authorMerkle, Anaen_US
dc.date.accessioned2025-12-05T09:15:02Z-
dc.date.available2025-12-05T09:15:02Z-
dc.date.issued2023-
dc.identifier.urihttps://research.matf.bg.ac.rs/handle/123456789/2972-
dc.description.abstractWe consider causal relationships between σ-fields (filtrations) in continuous time and define the concept of dependence between filtrations, named causal predictability, which is based on the Granger's definition of causality. The concept of causality is analyzed using the tool of conditional independence. Then, we provide some properties of the given predictability concept. Finally, we apply the concept of causal predictability to the weak solutions of the stochastic differential equations (SDEs). © 2023 Elsevier B.V.en_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofStatistics and Probability Lettersen_US
dc.subjectCausal predictabilityen_US
dc.subjectFiltrationen_US
dc.subjectStochastic differential equationsen_US
dc.subjectWeak solutionen_US
dc.subjectWeak uniquenessen_US
dc.titleCausal predictability and weak solutions of the stochastic differential equations with driving semimartingalesen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.spl.2023.109816-
dc.identifier.scopus2-s2.0-85150473978-
dc.identifier.isi000957128300001-
dc.relation.issn0167-7152en_US
dc.description.rankM22en_US
dc.relation.firstpageArticle no. 109816en_US
dc.relation.volume197en_US
item.openairetypeArticle-
item.languageiso639-1en-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextNo Fulltext-
item.cerifentitytypePublications-
crisitem.author.orcid0000-0002-0006-0383-
Appears in Collections:Research outputs
Show simple item record

SCOPUSTM   
Citations

1
checked on Dec 7, 2025

Google ScholarTM

Check

Altmetric

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.