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<bibitem type="J">   <ARLID>0410339</ARLID> <utime>20240103182207.1</utime><mtime>20060210235959.9</mtime>        <title language="eng" primary="1">The chi-square error of Barron estimator of regular density is asymptotically normal</title>  <specification> <page_count>18 s.</page_count> </specification>   <serial><title>Publications of the Institute of Statistics of the University of Paris</title><part_num/><part_title/><volume_id>42</volume_id><page_num>93-110</page_num></serial>   <author primary="1"> <ARLID>cav_un_auth*0101218</ARLID> <name1>Vajda</name1> <name2>Igor</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*0211827</ARLID> <name1>van der Meulen</name1> <name2>E. C.</name2> <country>BE</country>  </author>     <COSATI>12B</COSATI>    <cas_special> <project> <project_id>Copernicus 579</project_id> <agency>Commission EC</agency> <country>XE</country> </project> <research> <research_id>AV0Z1075907</research_id> </research>  <abstract language="eng" primary="1">An asymptotically normal limit law is derived for X2-divergences between a true probability density and its Barron estimates. This result is established for densities on real line satisfying certain regularity conditions, and for the estimates defined by means of partitions with numbers of cells increasing slowly, but not too slowly.</abstract>      <RIV>BB</RIV>   <department>SI</department>    <permalink>http://hdl.handle.net/11104/0130429</permalink>   <ID_orig>UTIA-B 20000055</ID_orig>     <arlyear>1998</arlyear>       <unknown tag="mrcbU63"> Publications of the Institute of Statistics of the University of Paris Roč. 42 2/3 1998 93 110 </unknown> </cas_special> </bibitem>