
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/">
  <dc:language>eng</dc:language>
  <dc:date>2020</dc:date>
  <dc:format>application/pdf</dc:format>
  <dc:format>447814 bytes</dc:format>
  <dc:title xml:lang="eng">Statistical causality and separable processes</dc:title>
  <dc:type>info:eu-repo/semantics/article</dc:type>
  <dc:rights>All rights reserved</dc:rights>
  <dc:description xml:lang="eng">A b s t r a c t:
In this paper we consider the statistical concept for continuous-time stochastic processes, which is based on Granger’s definition of causality. We, also, show that separability is directly related to causality concepts. More precisely, we provide necessary
conditions, in terms of statistical causality, for the space L
p
(Ω, G∞, P) to be separable.
The concept of statistical causality is related to the notion separability of stochastic
processes, too.</dc:description>
  <dc:subject xml:lang="eng">Keywords: Filtration, Causality, Separable σ -algebra, Separable process</dc:subject>
  <dc:identifier>https://phaidrabg.bg.ac.rs/o:29393</dc:identifier>
  <dc:identifier>doi:10.1016/j.spl.2020.108915</dc:identifier>
  <dc:identifier>ISSN: 0167-7152</dc:identifier>
  <dc:source>Statistics &amp; Probability Letters 167(December)</dc:source>
  <dc:creator>Valjarević, Dragana</dc:creator>
  <dc:creator id="https://plus.cobiss.net/cobiss/sr/sr/conor/12464743">Petrović, Ljiljana</dc:creator>
</oai_dc:dc>
