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<bibitem type="J">   <ARLID>0392949</ARLID> <utime>20260505110106.8</utime><mtime>20130626235959.9</mtime>   <WOS>000321335600009</WOS>         <title language="eng" primary="1">Bayesian Nonparametric Inference Why and How Comment</title>  <specification> <page_count>2 s.</page_count> <media_type>P</media_type> </specification>    <serial><ARLID>cav_un_epca*0344234</ARLID><ISSN>1931-6690</ISSN><title>Bayesian Analysis</title><part_num/><part_title/><volume_id>8</volume_id><volume>2 (2013)</volume><page_num>334-335</page_num><publisher><place/><name>International Society for Bayesian Analysis</name><year/></publisher></serial>    <keyword>Bayesian Parametric and Non-Parametric Estimation</keyword>   <keyword>Sanov Theorem</keyword>    <author primary="1"> <ARLID>cav_un_auth*0101124</ARLID> <name1>Kárný</name1> <name2>Miroslav</name2> <full_dept language="cz">Adaptivní systémy</full_dept> <full_dept language="eng">Department of Adaptive Systems</full_dept> <department language="cz">AS</department> <department language="eng">AS</department> <institution>UTIA-B</institution> <full_dept>Department of Adaptive Systems</full_dept>  <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author>   <source> <url>http://library.utia.cas.cz/separaty/2013/AS/karny-contributed discussion on article by p muller and r mitra bayesian nonparametric inference - why and how.pdf</url> </source>        <cas_special> <project> <project_id>GA13-13502S</project_id> <agency>GA ČR</agency> <ARLID>cav_un_auth*0292725</ARLID> </project>  <abstract language="eng" primary="1">Contributed Discussion on Article by P. Müller and R. Mitra:  Bayesian Nonparametric Inference Why and How published in: Bayesian Analysis, Volume 08, Number 02, pp. 269-302</abstract>    <reportyear>2014</reportyear>  <RIV>BB</RIV>      <num_of_auth>1</num_of_auth>  <inst_support> RVO:67985556 </inst_support>  <permalink>http://hdl.handle.net/11104/0222034</permalink>          <unknown tag="mrcbT16-e">MATHEMATICSINTERDISCIPLINARYAPPLICATIONS|STATISTICSPROBABILITY</unknown> <unknown tag="mrcbT16-f">2.321</unknown> <unknown tag="mrcbT16-g">0.094</unknown> <unknown tag="mrcbT16-h">5.IX</unknown> <unknown tag="mrcbT16-i">0.00492</unknown> <unknown tag="mrcbT16-j">1.887</unknown> <unknown tag="mrcbT16-k">716</unknown> <unknown tag="mrcbT16-l">32</unknown> <unknown tag="mrcbT16-s">2.404</unknown> <unknown tag="mrcbT16-z">ScienceCitationIndexExpanded</unknown> <unknown tag="mrcbT16-4">Q1</unknown> <unknown tag="mrcbT16-B">89.737</unknown> <unknown tag="mrcbT16-C">93.848</unknown> <unknown tag="mrcbT16-D">Q1*</unknown> <unknown tag="mrcbT16-E">Q1*</unknown> <arlyear>2013</arlyear>       <unknown tag="mrcbU34"> 000321335600009 WOS </unknown> <unknown tag="mrcbU63"> cav_un_epca*0344234 Bayesian Analysis 1931-6690 1936-0975 Roč. 8 č. 2 2013 334 335 International Society for Bayesian Analysis </unknown> </cas_special> </bibitem>