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<bibitem type="C">   <ARLID>0572530</ARLID> <utime>20240402214021.8</utime><mtime>20230604235959.9</mtime>              <title language="eng" primary="1">Estimation of Expected Shortfall in Linear Model</title>  <specification> <page_count>13 s.</page_count> <media_type>E</media_type> </specification>   <serial><ARLID>cav_un_epca*0574052</ARLID><title>ICORS 2023 = Book of abstracts</title><part_num/><part_title/><page_num>29-30</page_num><publisher><place>Toulouse</place><name>Toulouse School of Economics</name><year>2023</year></publisher></serial>    <keyword>Linear model</keyword>   <keyword>Expected shortfall</keyword>   <keyword>Regression quantile</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> <country>CZ</country>  <garant>A</garant> <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author>   <source> <url>http://library.utia.cas.cz/separaty/2023/SI/jureckova-0572530.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">The possibly incurred loss of a portfolio can be linearly affected by unobservable covariates, while we observe only the resulting response. We propose the method of estimating the true loss with the aid of regression quantiles. </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>BB</RIV> <FORD0>10000</FORD0> <FORD1>10100</FORD1> <FORD2>10103</FORD2>    <reportyear>2024</reportyear>      <num_of_auth>1</num_of_auth>  <presentation_type> PR </presentation_type> <inst_support> RVO:67985556 </inst_support>  <permalink>https://hdl.handle.net/11104/0344415</permalink>   <confidential>S</confidential>        <arlyear>2023</arlyear>       <unknown tag="mrcbU14"> SCOPUS </unknown> <unknown tag="mrcbU24"> PUBMED </unknown> <unknown tag="mrcbU34"> WOS </unknown> <unknown tag="mrcbU63"> cav_un_epca*0574052 ICORS 2023 = Book of abstracts Toulouse School of Economics 2023 Toulouse 29 30 </unknown> </cas_special> </bibitem>