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<bibitem type="G">   <ARLID>0572523</ARLID> <utime>20240527131054.6</utime><mtime>20230602235959.9</mtime>              <title language="eng" primary="1">ICORS 2023 = Book of abstracts</title>  <publisher> <place>Toulouse</place> <name>Toulouse School of Economics</name> <pub_time>2023</pub_time> </publisher> <specification> <page_count>165 s.</page_count> <media_type>E</media_type> </specification>    <keyword>Robust statistical methods</keyword>    <author primary="1"> <ARLID>cav_un_auth*0368969</ARLID> <name1>Jurečková</name1> <name2>Jana</name2> <institution>UTIA-B</institution> <full_dept language="cz">Stochastická informatika</full_dept> <full_dept language="eng">Department of Stochastic Informatics</full_dept> <department language="cz">SI</department> <department language="eng">SI</department> <full_dept>Department of Stochastic Informatics</full_dept> <country>CZ</country> <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author>   <source> <url>https://icors2023.sciencesconf.org/</url> </source> <source> <url>http://library.utia.cas.cz/separaty/2023/SI/jureckova-0572523.pdf</url> </source>         <cas_special> <project> <project_id>GA22-03636S</project_id> <agency>GA ČR</agency> <country>CZ</country> <ARLID>cav_un_auth*0435411</ARLID> </project>  <abstract language="eng" primary="1">This conference will gather researchers, scholars, and practitioners from various corners of the globe, presenting over 80 contributions on the exciting field of robust statistics. Within the pages of this booklet, you will find a compilation of all the submitted and accepted abstracts for ICORS2023. This collection represents the diverse range of ideas and discoveries that will be shared during the conference, offering a glimpse into the cutting-edge research being conducted in the field of robust statistics.</abstract>    <action target="WRD"> <ARLID>cav_un_auth*0450849</ARLID> <name>International Conference on Robust Statistics 2023</name> <dates>20230523</dates> <unknown tag="mrcbC20-s">20230526</unknown> <place>Toulouse</place> <country>FR</country>  </action>  <RIV>BA</RIV> <FORD0>10000</FORD0> <FORD1>10100</FORD1> <FORD2>10103</FORD2>    <reportyear>2024</reportyear>      <num_of_auth>44</num_of_auth>  <unknown tag="mrcbC55"> UTIA-B BA </unknown> <inst_support> RVO:67985556 </inst_support>  <permalink>https://hdl.handle.net/11104/0344414</permalink>   <confidential>S</confidential>        <arlyear>2023</arlyear>       <unknown tag="mrcbU10"> 2023 </unknown> <unknown tag="mrcbU10"> Toulouse Toulouse School of Economics </unknown> <unknown tag="mrcbU14"> SCOPUS </unknown> <unknown tag="mrcbU24"> PUBMED </unknown> <unknown tag="mrcbU34"> WOS </unknown> </cas_special> </bibitem>