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<bibitem type="J">   <ARLID>0441325</ARLID> <utime>20240903170631.8</utime><mtime>20150224235959.9</mtime>   <WOS>000348961900003</WOS> <SCOPUS>84920575094</SCOPUS>  <DOI>10.14736/kyb-2014-6-0883</DOI>           <title language="eng" primary="1">An efficient estimator for Gibbs random fields</title>  <specification> <page_count>15 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>50</volume_id><volume>6 (2014)</volume><page_num>883-895</page_num><publisher><place/><name>Ústav teorie informace a automatizace AV ČR, v. v. i.</name><year/></publisher></serial>    <keyword>Gibbs random field</keyword>   <keyword>efficient estimator</keyword>   <keyword>empirical estimator</keyword>    <author primary="1"> <ARLID>cav_un_auth*0101114</ARLID> <name1>Janžura</name1> <name2>Martin</name2> <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> <institution>UTIA-B</institution> <full_dept>Department of Stochastic Informatics</full_dept>  <share>100</share> <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author>   <source> <url>http://library.utia.cas.cz/separaty/2015/SI/janzura-0441325.pdf</url> </source>        <cas_special> <project> <project_id>GBP402/12/G097</project_id> <agency>GA ČR</agency> <country>CZ</country> <ARLID>cav_un_auth*0281000</ARLID> </project>  <abstract language="eng" primary="1">An efficient estimator for the expectation R f dP is constructed, where P is a Gibbs random  field, and f is a local statistic, i. e. a functional depending on a finite number of coordinates.  The estimator coincides with the empirical estimator under the conditions stated in Greenwood  and Wefelmeyer [6], and covers the known special cases, namely the von Mises statistic for the  i.i.d. underlying fields and the case of one-dimensional Markov chains.</abstract>     <reportyear>2015</reportyear>  <RIV>BA</RIV>      <num_of_auth>1</num_of_auth>  <inst_support> RVO:67985556 </inst_support>  <permalink>http://hdl.handle.net/11104/0244680</permalink>   <confidential>S</confidential>          <unknown tag="mrcbT16-e">COMPUTERSCIENCECYBERNETICS</unknown> <unknown tag="mrcbT16-j">0.339</unknown> <unknown tag="mrcbT16-s">0.369</unknown> <unknown tag="mrcbT16-4">Q2</unknown> <unknown tag="mrcbT16-B">42.435</unknown> <unknown tag="mrcbT16-C">14.583</unknown> <unknown tag="mrcbT16-D">Q3</unknown> <unknown tag="mrcbT16-E">Q3</unknown> <arlyear>2014</arlyear>       <unknown tag="mrcbU14"> 84920575094 SCOPUS </unknown> <unknown tag="mrcbU34"> 000348961900003 WOS </unknown> <unknown tag="mrcbU63"> cav_un_epca*0297163 Kybernetika 0023-5954 Roč. 50 č. 6 2014 883 895 Ústav teorie informace a automatizace AV ČR, v. v. i. </unknown> </cas_special> </bibitem>