<?xml version="1.0" encoding="utf-8"?>
<?xml-stylesheet type="text/xsl" href="style/detail_T.xsl"?>
<bibitem type="C">   <ARLID>0410773</ARLID> <utime>20240103182238.1</utime><mtime>20060210235959.9</mtime>        <title language="eng" primary="1">Detection of independence relations from persegrams</title>  <publisher> <place>Praha</place> <name>VŠE</name> <pub_time>2001</pub_time> </publisher> <specification> <page_count>11 s.</page_count> </specification>   <serial><title>Proceedings of the 4th Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty</title><part_num/><part_title/><page_num>52-62</page_num><editor><name1>Jiroušek</name1><name2>R.</name2></editor><editor><name1>Vejnarová</name1><name2>J.</name2></editor></serial>    <keyword>multidimensional models</keyword>   <keyword>probability theory</keyword>   <keyword>conditional independence</keyword>    <author primary="1"> <ARLID>cav_un_auth*0101118</ARLID> <name1>Jiroušek</name1> <name2>Radim</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>12B</COSATI>    <cas_special> <project> <project_id>LN00B107</project_id> <agency>GA MŠk</agency> <ARLID>cav_un_auth*0001461</ARLID> </project> <project> <project_id>1999-24</project_id> <agency>AKTION</agency> <country>CZ</country> </project> <research> <research_id>AV0Z1075907</research_id> </research>  <abstract language="eng" primary="1">Procedures for computation with multidimensional models (multidimensional probability distributions) are efficient only for models with specific independence structure. Therefore, it is of great importance to learn the independence structure. The paper presents a solution of this task for models represented by generating sequences.</abstract>  <action target="WRD"> <ARLID>cav_un_auth*0212877</ARLID> <name>Czec-Japan Seminar on Data Analysis and Decision Making under Uncertainty /4./</name> <place>Jindřichův Hradec</place> <country>CZ</country> <dates>14.09.2001-17.09.2001</dates>  </action>     <RIV>BB</RIV>   <department>MTR</department>    <permalink>http://hdl.handle.net/11104/0130861</permalink>   <ID_orig>UTIA-B 20010242</ID_orig>     <arlyear>2001</arlyear>       <unknown tag="mrcbU10"> 2001 </unknown> <unknown tag="mrcbU10"> Praha VŠE </unknown> <unknown tag="mrcbU63"> Proceedings of the 4th Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty 52 62 </unknown> <unknown tag="mrcbU67"> Jiroušek R. 340 </unknown> <unknown tag="mrcbU67"> Vejnarová J. 340 </unknown> </cas_special> </bibitem>