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<bibitem type="J">   <ARLID>0438210</ARLID> <utime>20240903170631.2</utime><mtime>20150106235959.9</mtime>   <SCOPUS>84920609441</SCOPUS> <WOS>000348961900001</WOS>  <DOI>10.14736/kyb-2014-6-0849</DOI>           <title language="eng" primary="1">Bayesian nonparametric estimation of hazard rate in monotone Aalen model</title>  <specification> <page_count>20 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>849-868</page_num><publisher><place/><name>Ústav teorie informace a automatizace AV ČR, v. v. i.</name><year/></publisher></serial>    <keyword>Aalen model</keyword>   <keyword>Bayesian estimation</keyword>   <keyword>MCMC</keyword>    <author primary="1"> <ARLID>cav_un_auth*0257680</ARLID> <name1>Timková</name1> <name2>Jana</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> <garant>K</garant>  <share>100</share> <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author>   <source> <url>http://library.utia.cas.cz/separaty/2014/SI/timkova-0438210.pdf</url> </source>        <cas_special>  <abstract language="eng" primary="1">The paper describes a method of estimating the hazard rate of survival data following monotone Aalen regression model. The proposed approach is based on techniques which were introduced by Arjas and Gasbarra. The unknown functional parameters are assumed to be apriori piecewise constant on intervals of varying count and size. The estimates are obtained with the aid of the Gibbs sampler and its variants. The performance of the method is explored bysimulations. The results indicate that the method is applicable on small sample size datasets.</abstract>     <reportyear>2015</reportyear>     <RIV>BB</RIV>   <num_of_auth>1</num_of_auth>  <unknown tag="mrcbC52"> 4 O 4o 20231122140729.8 </unknown> <unknown tag="mrcbC55"> BB </unknown> <inst_support> RVO:67985556 </inst_support>  <permalink>http://hdl.handle.net/11104/0241900</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="mrcbTft">  Soubory v repozitáři: timkova-0438210.pdf </unknown>    <unknown tag="mrcbU14"> 84920609441 SCOPUS </unknown> <unknown tag="mrcbU34"> 000348961900001 WOS </unknown> <unknown tag="mrcbU63"> cav_un_epca*0297163 Kybernetika 0023-5954 Roč. 50 č. 6 2014 849 868 Ústav teorie informace a automatizace AV ČR, v. v. i. </unknown> </cas_special> </bibitem>