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<bibitem type="V">   <ARLID>0322743</ARLID> <utime>20240111140717.2</utime><mtime>20090324235959.9</mtime>         <title language="eng" primary="1">Sequential Sampling Techniques for Log-Normal Combination of Probability Densities</title>  <publisher> <place>Praha</place> <name>ÚTIA AV ČR</name> <pub_time>2008</pub_time> </publisher> <specification> <page_count>16 s.</page_count> <media_type>www</media_type> </specification> <edition> <name>Research Report</name> <volume_id>2244</volume_id> </edition>   <title language="cze" primary="0">Metody sekvenčního vzorkování pro slučování distribucí pomocí log-normálního modelu</title>    <keyword>probability combination</keyword>   <keyword>distribution merging</keyword>   <keyword>importance sampling</keyword>   <keyword>log-normal model</keyword>   <keyword>mixture model estimation</keyword>    <author primary="1"> <ARLID>cav_un_auth*0101207</ARLID> <name1>Šmídl</name1> <name2>Václav</name2> <institution>UTIA-B</institution> <full_dept>Department of Adaptive Systems</full_dept>  <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author>   <source> <source_type>pdf</source_type> <url>http://library.utia.cas.cz/separaty/2008/AS/smidl-sequential sampling techniques for log-normal combination of probability densities .pdf</url> </source>        <cas_special> <project> <project_id>1M0572</project_id> <agency>GA MŠk</agency> <ARLID>cav_un_auth*0001814</ARLID> </project> <project> <project_id>GP102/08/P250</project_id> <agency>GA ČR</agency> <ARLID>cav_un_auth*0241640</ARLID> </project> <research> <research_id>CEZ:AV0Z10750506</research_id> </research>  <abstract language="eng" primary="1">Bayesian approach to combination of probability densities is studied. We have derived analytical formula for posterior expectation and proposed numerical evaluation of the merged density. The resulting algorithm was tested on simple examples.</abstract> <abstract language="cze" primary="0">Zpráva se zabývá bayesovským přístupem ke slučování pravděpodobnostních distribucí pomocí log-normálního modelu. Jsou odvozeny analytické vztahy pro očekánanou hodnotu výsledné distribuce a navržen algoritmus jejich numerického vyčíslení. Přístup je testován na jednoduchých přikladech.</abstract>    <reportyear>2009</reportyear>  <RIV>BC</RIV>     <unknown tag="mrcbC52"> 4 O 4o 20231122133808.6 </unknown>  <permalink>http://hdl.handle.net/11104/0170909</permalink>        <arlyear>2008</arlyear>    <unknown tag="mrcbTft">  Soubory v repozitáři: 0322743.pdf </unknown>    <unknown tag="mrcbU10"> 2008 </unknown> <unknown tag="mrcbU10"> Praha ÚTIA AV ČR </unknown> <unknown tag="mrcbU56"> pdf </unknown> </cas_special> </bibitem>