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</o:shapelayout></xml><![endif]--></head><body lang=SL link=blue vlink=purple><div class=WordSection1><p class=MsoTitle style='margin:0cm;margin-bottom:.0001pt'><span style='font-size:18.0pt;font-family:"Verdana","sans-serif";color:black;font-weight:normal'>VABILO NA PREDAVANJE / INVITATION TO THE LECTURE<o:p></o:p></span></p><p class=MsoNormal align=center style='text-align:center'><b><span style='font-size:20.0pt;font-family:"Verdana","sans-serif"'><o:p> </o:p></span></b></p><p class=MsoNormal align=center style='margin-bottom:6.0pt;text-align:center'><b><span style='font-size:20.0pt;font-family:"Verdana","sans-serif"'>Prof. Dr. Peter Filzmoser<o:p></o:p></span></b></p><p class=MsoNormal align=center style='margin-bottom:14.0pt;text-align:center'><span lang=EN-US style='font-size:14.0pt'><br></span><span style='font-size:12.0pt;font-family:"Verdana","sans-serif"'>Dept. of Statistics & Probability Theory, Vienna University of Technology, Wiedner Hauptstr. 8-10, A-1040 Vienna, Austria</span><span lang=FR style='font-size:12.0pt;font-family:"Verdana","sans-serif";mso-fareast-language:FR'><o:p></o:p></span></p><p class=MsoNormal align=center style='text-align:center;line-height:150%'><b><span style='font-size:8.0pt;line-height:150%;font-family:"Verdana","sans-serif"'><o:p> </o:p></span></b></p><p class=MsoNormal align=center style='margin-bottom:6.0pt;text-align:center'><b><span style='font-size:16.0pt;font-family:"Verdana","sans-serif"'>Sreda / Wednesday, 1. 2. 2012, ob / at 12:15<o:p></o:p></span></b></p><h6 style='mso-margin-top-alt:0cm;margin-right:0cm;margin-bottom:6.0pt;margin-left:0cm'><span lang=FR style='font-size:12.0pt;font-family:"Verdana","sans-serif"'>Velika predavalnica Kemijskega inštituta / Lecture Hall at the National Institute of Chemistry; Hajdrihova 19, Ljubljana <o:p></o:p></span></h6><p class=MsoNormal align=center style='text-align:center'><b><span lang=EN-GB style='font-size:16.0pt;font-family:"Verdana","sans-serif";color:#993366'><o:p> </o:p></span></b></p><p class=MsoNormal align=center style='text-align:center;line-height:150%'><b><span lang=EN-GB style='font-size:16.0pt;line-height:150%;font-family:"Verdana","sans-serif";color:#993366'>Review of Sparse Methods in Regression and Classification with Application to Chemometrics<o:p></o:p></span></b></p><p class=MsoNormal align=center style='margin-bottom:6.0pt;text-align:center'><b><span lang=EN-GB style='font-size:14.0pt;font-family:"Verdana","sans-serif";color:#993366'><o:p> </o:p></span></b></p><p class=MsoBodyText style='margin-bottom:0cm;margin-bottom:.0001pt'><span lang=FR><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-GB style='font-size:14.0pt;font-family:"Verdana","sans-serif"'>Povzetek / Abstract<o:p></o:p></span></p><p class=MsoPlainText><o:p> </o:p></p><p class=MsoNormal style='text-align:justify;line-height:150%'><span lang=EN-GB style='font-size:14.0pt;line-height:150%;font-family:"Verdana","sans-serif"'>Sparse statistical methods lead to parameter estimates that contain exact zeros. This has advantages especially in the analysis of high-dimensional data, because the contribution of single variables - potential noise variables - is set to zero. Recent proposals for sparse methods will be reviewed in the context of regression and classification, and the performance of these methods with their non-sparse counterparts will be compared, using several data examples from chemometrics.<o:p></o:p></span></p><p class=MsoNormal align=center style='text-align:center'><b><span lang=EN-GB style='font-size:9.0pt;font-family:"Verdana","sans-serif";color:#993366'><o:p> </o:p></span></b></p><p class=MsoNormal align=center style='text-align:center'><b><span lang=EN-GB style='font-size:9.0pt;font-family:"Verdana","sans-serif";color:#993366'><o:p> </o:p></span></b></p><p class=MsoNormal align=center style='text-align:center'><span lang=EN-GB style='font-size:14.0pt;font-family:"Verdana","sans-serif"'>Vljudno vabljeni! / Kindly invited<o:p></o:p></span></p><p class=MsoNormal align=center style='text-align:center'><span lang=EN-US style='font-size:12.0pt;font-family:"Arial","sans-serif"'><o:p> </o:p></span></p><p class=MsoNormal align=center style='text-align:center'><span lang=EN-US style='font-size:12.0pt;font-family:"Arial","sans-serif"'><o:p> </o:p></span></p><p class=MsoNormal><o:p> </o:p></p></div></body></html>