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<bibitem type="A">   <ARLID>0351117</ARLID> <utime>20240103194302.7</utime><mtime>20110104235959.9</mtime>         <title language="eng" primary="1">A Hybrid Filtering Methodology for Nonlinear Estimation</title>  <specification> <page_count>1 s.</page_count> </specification>   <serial><ARLID>cav_un_epca*0352231</ARLID><title>Abstracts of Contributions to 6th International Workshop on Data-Algorthms-Decision Making</title><part_num/><part_title/><page_num>46-46</page_num><publisher><place>Praha</place><name>ÚTIA AV ČR, v.v.i</name><year>2010</year></publisher></serial>    <keyword>hybrid filtering</keyword>   <keyword>particle filter</keyword>   <keyword>ensemble Kalman filter</keyword>    <author primary="1"> <ARLID>cav_un_auth*0228606</ARLID> <name1>Hofman</name1> <name2>Radek</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>  <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author> <author primary="0"> <ARLID>cav_un_auth*0242543</ARLID> <name1>Dedecius</name1> <name2>Kamil</name2> <full_dept language="cz">Adaptivní systémy</full_dept> <full_dept>Department of Adaptive Systems</full_dept> <department language="cz">AS</department> <department>AS</department> <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> <url>http://library.utia.cas.cz/separaty/2010/AS/hofman-a hybrid filtering methodology for nonlinear estimation.pdf</url> </source>        <cas_special> <project> <project_id>1M0572</project_id> <agency>GA MŠk</agency> <ARLID>cav_un_auth*0001814</ARLID> </project> <research> <research_id>CEZ:AV0Z10750506</research_id> </research>  <abstract language="eng" primary="1">We are concerned with Bayesian estimation of a discrete stochastic process governed by a nonlinear model.   We employ marginalized particle filter, which is also known as  Rao-Blackwellised particle filter, for on-line tuning of nuisance parameters of analytical filters.</abstract>  <action target=""> <ARLID>cav_un_auth*0266573</ARLID> <name>6th International Workshop on Data-Algorithms-Decision Making</name> <place>Jindrichuv Hradec</place> <dates>02.12.2010-04.12.2010</dates> <country>CZ</country> </action>   <reportyear>2011</reportyear>  <RIV>BC</RIV>     <unknown tag="mrcbC52"> 4 O 4o 20231122134306.6 </unknown>  <permalink>http://hdl.handle.net/11104/0190938</permalink>        <arlyear>2010</arlyear>    <unknown tag="mrcbTft">  Soubory v repozitáři: 0351117.pdf </unknown>    <unknown tag="mrcbU63"> cav_un_epca*0352231 Abstracts of Contributions to 6th International Workshop on Data-Algorthms-Decision Making 46 46 Praha ÚTIA AV ČR, v.v.i 2010 </unknown> </cas_special> </bibitem>