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<bibitem type="A">   <ARLID>0432024</ARLID> <utime>20240103204649.0</utime><mtime>20141021235959.9</mtime>         <title language="eng" primary="1">Combining Information Sources Using Minimum Cross-Entropy Principle</title>  <specification> <page_count>1 s.</page_count> <media_type>P</media_type> </specification>   <serial><ARLID>cav_un_epca*0433444</ARLID><title>Book of abstracts of the Second Bayesian Young Statisticians Meeting (BAYSM 2014)</title><part_num/><part_title/><page_num>22-22</page_num><publisher><place>Vienna</place><name>Vienna University of Economics and Business</name><year>2014</year></publisher></serial>    <keyword>minimum cross-entropy principle</keyword>   <keyword>Kullback-Leibler divergence</keyword>    <author primary="1"> <ARLID>cav_un_auth*0263972</ARLID> <name1>Sečkárová</name1> <name2>Vladimíra</name2> <full_dept language="cz">Adaptivní systémy</full_dept> <full_dept language="eng">Department of Adaptive Systems</full_dept> <department language="cz">AS</department> <department language="eng">AS</department> <institution>UTIA-B</institution> <full_dept>Department of Adaptive Systems</full_dept>  <share>100</share> <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author>   <source> <url>http://library.utia.cas.cz/separaty/2014/AS/seckarova-0432024.pdf</url> </source>        <cas_special> <project> <project_id>13-13502S</project_id> <agency>GA ČR</agency> <country>CZ</country> <ARLID>cav_un_auth*0292725</ARLID> </project> <project> <project_id>SVV-2014-260105</project_id> <agency>GA UK</agency> <country>CZ</country> <ARLID>cav_un_auth*0306403</ARLID> </project>  <abstract language="eng" primary="1">Combining information sources, exploited in many areas of mathematics, has been an open problem for decades.</abstract>  <action target="EUR"> <ARLID>cav_un_auth*0306777</ARLID> <name>Bayesian Young Statisticians Meeting (BAYSM 2014) /2./</name> <place>Vienna</place> <dates>18.09.2014-19.09.2014</dates>  <country>AT</country> </action>   <reportyear>2015</reportyear>  <RIV>BD</RIV>      <num_of_auth>1</num_of_auth>  <unknown tag="mrcbC52"> 4 O 4o 20231122140438.4 </unknown> <presentation_type> PO </presentation_type> <inst_support> RVO:67985556 </inst_support>  <permalink>http://hdl.handle.net/11104/0237648</permalink>   <confidential>S</confidential>        <arlyear>2014</arlyear>    <unknown tag="mrcbTft">  Soubory v repozitáři: 0432024.pdf </unknown>    <unknown tag="mrcbU63"> cav_un_epca*0433444 Book of abstracts of the Second Bayesian Young Statisticians Meeting (BAYSM 2014) 22 22 Vienna Vienna University of Economics and Business 2014 </unknown> </cas_special> </bibitem>