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<bibitem type="C">   <ARLID>0346967</ARLID> <utime>20240103193823.8</utime><mtime>20100914235959.9</mtime>         <title language="eng" primary="1">Algorithm for splitting and merging complexes of  convex polyhedra according to given hyperplanes in general dimension</title>  <specification> <page_count>6 s.</page_count> </specification>   <serial><ARLID>cav_un_epca*0346657</ARLID><ISBN>978-615-5044-00-7</ISBN><title>Proceedings of the 11th International PhD Workshop on Systems and Control a Young Generation Viewpoint</title><part_num/><part_title/><page_num>62-67</page_num><publisher><place>Veszprém</place><name>University of Pannonia</name><year>2010</year></publisher></serial>    <keyword>regression</keyword>   <keyword>Bayesian</keyword>   <keyword>complex splitting algorithm</keyword>   <keyword>robust</keyword>    <author primary="1"> <ARLID>cav_un_auth*0263960</ARLID> <name1>Šindelář</name1> <name2>Jan</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>  <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author>   <source> <url>http://library.utia.cas.cz/separaty/2010/AS/sindelar-algorithm for splitting and merging complexes of  convex polyhedra according to given hyperplanes in general dimension.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>GA102/08/0567</project_id> <agency>GA ČR</agency> <ARLID>cav_un_auth*0239566</ARLID> </project> <research> <research_id>CEZ:AV0Z10750506</research_id> </research>  <abstract language="eng" primary="1">In the article algorithm for splitting and merging complexes of convex polyhedra is proposed. The need for such an algorithm emerges for example in computation of normalization factor of Bayesian estimated posterior likelihood of parameters in an auto-regression model with Laplace distributed innovations, where the split of the complex corresponds to newly arrived data incorporation and the merging relates to making such a model adaptive by forgetting older data values -- the situation is most apparent in case of an estimation on a moving window.</abstract>  <action target="EUR"> <ARLID>cav_un_auth*0263709</ARLID> <name>11th International PhD Workshop on Systems and Control a Young Generation Viewpoint</name> <place>Veszprém</place> <dates>01.09.2010-03.09.2010</dates>  <country>HU</country> </action>    <reportyear>2011</reportyear>  <RIV>BB</RIV>      <permalink>http://hdl.handle.net/11104/0187853</permalink>        <arlyear>2010</arlyear>       <unknown tag="mrcbU63"> cav_un_epca*0346657 Proceedings of the 11th International PhD Workshop on Systems and Control a Young Generation Viewpoint 978-615-5044-00-7 62 67 Veszprém University of Pannonia 2010 </unknown> </cas_special> </bibitem>