
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>A linear-algebraic tool for conditional independence inference</dc:title>
  <dc:subject>Conditional independence inference</dc:subject>
  <dc:subject>Automated theorem proving</dc:subject>
  <dc:description>In this note, we propose a new linear-algebraic method for the implication problem among conditional independence statements, which is inspired by the factorization characterization of conditional independence. First, we give a criterion in the case of a discrete strictly positive density and relate it to an earlier linear-algebraic approach. Then, we extend the method to the case of a discrete density that need not be strictly positive. Finally, we provide a computational result in the case of six variables.</dc:description>
  <dc:contributor>Tanaka, Kentaro</dc:contributor>
  <dc:contributor>Studeny, Milan</dc:contributor>
  <dc:contributor>Takemura, Akimichi</dc:contributor>
  <dc:contributor>Sei, Tomonari</dc:contributor>
  <dc:date>2015</dc:date>
  <dc:date>2015-11-09</dc:date>
  <dc:type>Article</dc:type>
  <dc:format></dc:format>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>islandora:1007811</dc:identifier>
  <dc:identifier>http://hdl.handle.net/10560/islandora:1007811</dc:identifier>
  <dc:source>MATH / Applied Mathematics</dc:source>
  <dc:source>Illinois Institute of Technology</dc:source>
  <dc:source>Journal of Algebraic Statistics</dc:source>
  <dc:language>en</dc:language>
  <dc:rights>Open Access</dc:rights>
</oai_dc:dc>
