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<bibitem type="J">   <ARLID>0410389</ARLID> <utime>20240103182210.7</utime><mtime>20060210235959.9</mtime>        <title language="eng" primary="1">Entropy expressions for multivariate continuous distributions</title>  <specification> <page_count>4 s.</page_count> </specification>   <serial><ARLID>cav_un_epca*0256723</ARLID><ISSN>0018-9448</ISSN><title>IEEE Transactions on Information Theory</title><part_num/><part_title/><volume_id>46</volume_id><volume>2 (2000)</volume><page_num>709-712</page_num><publisher><place/><name>Institute of Electrical and Electronics Engineers</name><year/></publisher></serial>   <author primary="1"> <ARLID>cav_un_auth*0101078</ARLID> <name1>Darbellay</name1> <name2>Georges A.</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*0101218</ARLID> <name1>Vajda</name1> <name2>Igor</name2> <institution>UTIA-B</institution>  <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author>     <COSATI>09J</COSATI>    <cas_special> <project> <project_id>8220-040089</project_id> <agency>FNSRS</agency> <country>CH</country> </project> <project> <project_id>GA102/99/1137</project_id> <agency>GA ČR</agency> <ARLID>cav_un_auth*0004432</ARLID> </project> <research> <research_id>AV0Z1075907</research_id> </research>  <abstract language="eng" primary="1">Analytical formulas for the entropy and the mutual information of multivariate continuous probability distributions are presented.</abstract>      <RIV>BD</RIV>   <department>SI</department>    <permalink>http://hdl.handle.net/11104/0130478</permalink>   <ID_orig>UTIA-B 20000105</ID_orig>       <arlyear>2000</arlyear>       <unknown tag="mrcbU63"> cav_un_epca*0256723 IEEE Transactions on Information Theory 0018-9448 1557-9654 Roč. 46 č. 2 2000 709 712 Institute of Electrical and Electronics Engineers </unknown> </cas_special> </bibitem>