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<bibitem type="J">   <ARLID>0450036</ARLID> <utime>20240103211130.9</utime><mtime>20151124235959.9</mtime>   <WOS>000371483500004</WOS>  <DOI>10.18409/jas.v6i2.46</DOI>           <title language="eng" primary="1">A linear-algebraic tool for conditional independence inference</title>  <specification> <page_count>18 s.</page_count> <media_type>P</media_type> </specification>   <serial><ARLID>cav_un_epca*0393222</ARLID><ISSN>1309-3452</ISSN><title>Journal of Algebraic Statistics</title><part_num/><part_title/><volume_id>6</volume_id><volume>2 (2015)</volume><page_num>150-167</page_num></serial>    <keyword>Conditional independence inference</keyword>   <keyword>Automated theorem proving</keyword>    <author primary="1"> <ARLID>cav_un_auth*0083039</ARLID>  <name1>Tanaka</name1> <name2>K.</name2> <country>JP</country> </author> <author primary="0"> <ARLID>cav_un_auth*0101202</ARLID> <full_dept language="cz">Matematická teorie rozhodování</full_dept> <full_dept>Department of Decision Making Theory</full_dept> <department language="cz">MTR</department> <department>MTR</department> <full_dept>Department of Decision Making Theory</full_dept>  <name1>Studený</name1> <name2>Milan</name2> <institution>UTIA-B</institution> <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author> <author primary="0"> <ARLID>cav_un_auth*0321788</ARLID>  <name1>Takemura</name1> <name2>A.</name2> <country>JP</country> </author> <author primary="0"> <ARLID>cav_un_auth*0321789</ARLID>  <name1>Sei</name1> <name2>T.</name2> <country>JP</country> </author>   <source> <url>http://library.utia.cas.cz/separaty/2015/MTR/studeny-0450036.pdf</url> </source>        <cas_special> <project> <ARLID>cav_un_auth*0292670</ARLID> <project_id>GA13-20012S</project_id> <agency>GA ČR</agency> </project>  <abstract language="eng" primary="1">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.</abstract>     <RIV>BA</RIV>    <reportyear>2016</reportyear>      <num_of_auth>4</num_of_auth>  <inst_support> RVO:67985556 </inst_support>  <permalink>http://hdl.handle.net/11104/0252264</permalink>   <confidential>S</confidential>         <arlyear>2015</arlyear>       <unknown tag="mrcbU34"> 000371483500004 WOS </unknown> <unknown tag="mrcbU63"> cav_un_epca*0393222 Journal of Algebraic Statistics 1309-3452 Roč. 6 č. 2 2015 150 167 </unknown> </cas_special> </bibitem>