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<bibitem type="J">   <ARLID>0485151</ARLID> <utime>20240903170638.9</utime><mtime>20180119235959.9</mtime>   <SCOPUS>85040725398</SCOPUS> <WOS>000424732300005</WOS>  <DOI>10.14736/kyb-2017-6-1026</DOI>           <title language="eng" primary="1">Stability, Empirical Estimates and Scenario Generation in Stochastic Optimization - Applications in Finance</title>  <specification> <page_count>21 s.</page_count> <media_type>P</media_type> </specification>   <serial><ARLID>cav_un_epca*0297163</ARLID><ISSN>0023-5954</ISSN><title>Kybernetika</title><part_num/><part_title/><volume_id>53</volume_id><volume>6 (2017)</volume><page_num>1026-1046</page_num><publisher><place/><name>Ústav teorie informace a automatizace AV ČR, v. v. i.</name><year/></publisher></serial>    <keyword>stochastic programming</keyword>   <keyword>stochastic dominance</keyword>   <keyword>empirical estimates</keyword>   <keyword>financial applications</keyword>    <author primary="1"> <ARLID>cav_un_auth*0101122</ARLID> <full_dept language="cz">Ekonometrie</full_dept> <full_dept language="eng">Department of Econometrics</full_dept> <department language="cz">E</department> <department language="eng">E</department> <full_dept>Department of Econometrics</full_dept>  <share>100</share> <name1>Kaňková</name1> <name2>Vlasta</name2> <institution>UTIA-B</institution> <garant>K</garant> <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author>   <source> <url>http://library.utia.cas.cz/separaty/2017/E/kankova-0485151.pdf</url> </source>        <cas_special> <project> <ARLID>cav_un_auth*0321097</ARLID> <project_id>GA15-10331S</project_id> <agency>GA ČR</agency> </project>  <abstract language="eng" primary="1">Economic and  financial processes are mostly simultaneously influuenced by a random factor and a decision parameter. While the random factor can be hardly influenced, the decision parameter can be usually determined by a deterministic optimization problem depending on a corresponding probability measure. However, in applications the „underlying“ probability measure is often a little different, replaced by empirical one determined on the base of data or even (for numerical reason) replaced by simpler (mostly discrete) one. Consequently, real one and approximate one correspond to applications. In the paper we try to investigate their relationship. To this end we employ the results on stability based on the Wasserstein metric and L1 norm, their applications to empirical estimates and scenario generation. Moreover, we apply the achieved new results to simple  financial applications. The corresponding model will a problem of stochastic programming.</abstract>     <RIV>BB</RIV> <FORD0>10000</FORD0> <FORD1>10100</FORD1> <FORD2>10103</FORD2>    <reportyear>2018</reportyear>      <num_of_auth>1</num_of_auth>  <inst_support> RVO:67985556 </inst_support>  <permalink>http://hdl.handle.net/11104/0280355</permalink>   <confidential>S</confidential>  <unknown tag="mrcbC86"> 3+4 Article|Proceedings Paper Computer Science Cybernetics  </unknown> <unknown tag="mrcbC86"> 3+4 Article|Proceedings Paper Computer Science Cybernetics  </unknown> <unknown tag="mrcbC86"> 3+4 Article|Proceedings Paper Computer Science Cybernetics  </unknown>         <unknown tag="mrcbT16-e">COMPUTERSCIENCE.CYBERNETICS</unknown> <unknown tag="mrcbT16-f">0.596</unknown> <unknown tag="mrcbT16-g">0.048</unknown> <unknown tag="mrcbT16-h">12.4</unknown> <unknown tag="mrcbT16-i">0.00096</unknown> <unknown tag="mrcbT16-j">0.224</unknown> <unknown tag="mrcbT16-k">808</unknown> <unknown tag="mrcbT16-s">0.321</unknown> <unknown tag="mrcbT16-5">0.513</unknown> <unknown tag="mrcbT16-6">63</unknown> <unknown tag="mrcbT16-7">Q4</unknown> <unknown tag="mrcbT16-B">18.907</unknown> <unknown tag="mrcbT16-C">11.4</unknown> <unknown tag="mrcbT16-D">Q4</unknown> <unknown tag="mrcbT16-E">Q3</unknown> <unknown tag="mrcbT16-M">0.2</unknown> <unknown tag="mrcbT16-N">Q4</unknown> <unknown tag="mrcbT16-P">11.364</unknown> <arlyear>2017</arlyear>       <unknown tag="mrcbU14"> 85040725398 SCOPUS </unknown> <unknown tag="mrcbU24"> PUBMED </unknown> <unknown tag="mrcbU34"> 000424732300005 WOS </unknown> <unknown tag="mrcbU63"> cav_un_epca*0297163 Kybernetika 0023-5954 Roč. 53 č. 6 2017 1026 1046 Ústav teorie informace a automatizace AV ČR, v. v. i. </unknown> </cas_special> </bibitem>