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<bibitem type="V">   <ARLID>0519771</ARLID> <utime>20240103223438.7</utime><mtime>20200115235959.9</mtime>              <title language="eng" primary="1">Approximate Bayesian state estimation and output prediction using state-space model with uniform noise</title>  <publisher> <place>Praha</place> <name>ÚTIA AV ČR</name> <pub_time>2019</pub_time> </publisher> <specification> <page_count>21 s.</page_count> <media_type>P</media_type> </specification> <edition> <name>Research Report</name> <volume_id>2381</volume_id> </edition>    <keyword>Bayesian filtering</keyword>   <keyword>state estimation</keyword>   <keyword>output prediction</keyword>   <keyword>uniform noise</keyword>   <keyword>parallelotopic support</keyword>   <keyword>orthotopic support</keyword>    <author primary="1"> <ARLID>cav_un_auth*0387475</ARLID>  <name1>Lainová</name1> <name2>Eva</name2> <institution>UTIA-B</institution> <full_dept language="cz">Adaptivní systémy</full_dept> <country>CZ</country> <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author> <author primary="0"> <ARLID>cav_un_auth*0382598</ARLID> <name1>Kuklišová Pavelková</name1> <name2>Lenka</name2> <institution>UTIA-B</institution> <full_dept language="cz">Adaptivní systémy</full_dept> <full_dept>Department of Adaptive Systems</full_dept> <department language="cz">AS</department> <department>AS</department> <full_dept>Department of Adaptive Systems</full_dept> <country>CZ</country> <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author> <author primary="0"> <ARLID>cav_un_auth*0101119</ARLID> <full_dept>Department of Adaptive Systems</full_dept>  <name1>Jirsa</name1> <name2>Ladislav</name2> <institution>UTIA-B</institution> <full_dept language="cz">Adaptivní systémy</full_dept> <full_dept>Department of Adaptive Systems</full_dept> <department language="cz">AS</department> <department>AS</department> <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author>   <source> <url>http://library.utia.cas.cz/separaty/2019/AS/kuklisova-0519771.pdf</url> </source>        <cas_special> <project> <ARLID>cav_un_auth*0362986</ARLID> <project_id>GA18-15970S</project_id> <agency>GA ČR</agency> <country>CZ</country> </project>  <abstract language="eng" primary="1">This paper contributes to the problem of approximate Bayesian state estimation and output prediction using state space model with uniformly distributed noise. Algorithms for Bayesian filtering and output prediction for states uniformly distributed on an orthotopic support and Bayesian filtering and output prediction for states uniformly distributed on a parallelotopic support are presented and compared.</abstract>     <FORD0>10000</FORD0>   <reportyear>2020</reportyear>       <num_of_auth>3</num_of_auth>  <unknown tag="mrcbC52"> 4 O 4o 20231122144641.7 </unknown> <inst_support> RVO:67985556 </inst_support>  <permalink>http://hdl.handle.net/11104/0304777</permalink>   <confidential>S</confidential>        <arlyear>2019</arlyear>    <unknown tag="mrcbTft">  Soubory v repozitáři: 0519771.pdf </unknown>    <unknown tag="mrcbU10"> 2019 </unknown> <unknown tag="mrcbU10"> Praha ÚTIA AV ČR </unknown> </cas_special> </bibitem>