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<bibitem type="J">   <ARLID>0410488</ARLID> <utime>20240103182217.7</utime><mtime>20060210235959.9</mtime>        <title language="eng" primary="1">The entropy as a tool for analysing statistical dependences in financial time series</title>  <specification> <page_count>11 s.</page_count> </specification>   <serial><ARLID>cav_un_epca*0257423</ARLID><ISSN>0378-4371</ISSN><title>Physica. A : Statistical Mechanics and its Applications</title><part_num/><part_title/><volume_id>287</volume_id><page_num>429-439</page_num><publisher><place/><name>Elsevier</name><year/></publisher></serial>   <author primary="1"> <ARLID>cav_un_auth*0101078</ARLID> <name1>Darbellay</name1> <name2>Georges A.</name2> <institution>UTIA-B</institution>  <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author> <author primary="0"> <ARLID>cav_un_auth*0212721</ARLID> <name1>Wuertz</name1> <name2>D.</name2> <country>CH</country>  </author>     <COSATI>09J</COSATI>    <cas_special> <project> <project_id>KSK1075601</project_id> <agency>GA AV</agency> <country>CZ</country> <ARLID>cav_un_auth*0027435</ARLID> </project> <research> <research_id>AV0Z1075907</research_id> </research>  <abstract language="eng" primary="1">Using a novel algorithm for the estimation of the mutual information from data, we analyse several financial time series and demonstrate the usefulness of this new approach.</abstract>      <RIV>BD</RIV>   <department>SI</department>    <permalink>http://hdl.handle.net/11104/0130577</permalink>   <ID_orig>UTIA-B 20000204</ID_orig>       <arlyear>2000</arlyear>       <unknown tag="mrcbU63"> cav_un_epca*0257423 Physica. A : Statistical Mechanics and its Applications 0378-4371 1873-2119 Roč. 287 - 2000 429 439 Elsevier </unknown> </cas_special> </bibitem>