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<bibitem type="J">   <ARLID>0410990</ARLID> <utime>20240103182254.0</utime><mtime>20060210235959.9</mtime>        <title language="eng" primary="1">Chain graph models and their causal interpretations - discussion on the paper by Lauritzen and Richardson</title>  <specification> <page_count>1 s.</page_count> </specification>   <serial><ARLID>cav_un_epca*0254028</ARLID><ISSN>1369-7412</ISSN><title>Journal of the Royal Statistical Society Series B-Statistical Methodology</title><part_num/><part_title/><volume_id>64</volume_id><volume>3 (2002)</volume><page_num>358</page_num></serial>    <keyword>chain graph</keyword>    <author primary="1"> <ARLID>cav_un_auth*0101202</ARLID> <name1>Studený</name1> <name2>Milan</name2> <institution>UTIA-B</institution> <full_dept>Department of Decision Making Theory</full_dept>  <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author>     <COSATI>12A</COSATI>    <cas_special> <research> <research_id>CEZ:AV0Z1075907</research_id> </research>  <abstract language="eng" primary="1">The comment offers the interpretation of chain graph models in terms of factorization instead of vague concept of data generating process.</abstract>      <RIV>BA</RIV>   <department>MTR</department>    <permalink>http://hdl.handle.net/11104/0131077</permalink>   <ID_orig>UTIA-B 20020204</ID_orig>       <arlyear>2002</arlyear>       <unknown tag="mrcbU63"> cav_un_epca*0254028 Journal of the Royal Statistical Society Series B-Statistical Methodology 1369-7412 1467-9868 Roč. 64 č. 3 2002 358 </unknown> </cas_special> </bibitem>