<html><body><div style="color:#000; background-color:#fff; font-family:HelveticaNeue, Helvetica Neue, Helvetica, Arial, Lucida Grande, sans-serif;font-size:16px"><div dir="ltr"> </div> <div id="yui_3_16_0_1_1428369802440_2421" class="" style="margin-bottom:0cm;margin-bottom:.0001pt;line-height:normal"><b style="" class=""><span class="" style="font-size:13.5pt;mso-fareast-font-family:"Times New Roman";mso-bidi-font-family:"Times New Roman";color:black;mso-fareast-language:PT-BR"> </span></b></div> <div id="yui_3_16_0_1_1428369802440_2338" class="" style="margin-bottom:0cm;margin-bottom:.0001pt;line-height:normal"><span class="" id="yui_3_16_0_1_1428369802440_2337" style="font-size:12.0pt;mso-fareast-font-family:"Times New Roman";mso-bidi-font-family:"Times New Roman";mso-fareast-language:PT-BR">Esta mensagem é para divulgar a palestra desta semana do Seminário Conjunto do </span><span id="yui_3_16_0_1_1428369802440_2486" class="" style="font-size:12.0pt"><a id="yui_3_16_0_1_1428369802440_2485" style="" class="" href="http://www.icmc.usp.br/Portal/conteudo/1096/13/interinstitucional-de-pos-graduacao-em-estatistica" target="_blank"><span id="yui_3_16_0_1_1428369802440_2484" class="" style="color:#E74E37">Programa Interinstitucional de Pós-graduação em Estatística</span></a> (PIPGEs ICMC/USP e UFSCar)</span><span class="" style="font-size:12.0pt;mso-fareast-font-family:"Times New Roman";mso-bidi-font-family:"Times New Roman";mso-fareast-language:PT-BR">, São Carlos. <span class="" style="mso-spacerun:yes"> </span>Segue a informação.<br class="" style="mso-special-character:line-break"> <br class="" style="mso-special-character:line-break"> <b style="" class=""><span class="" style="color:black"></span></b></span></div> <div id="yui_3_16_0_1_1428369802440_2505" style="" class=""><b id="yui_3_16_0_1_1428369802440_2504" style="" class=""><span id="yui_3_16_0_1_1428369802440_2503" class="" style="font-size:12.0pt;line-height:115%;mso-fareast-font-family:"Times New Roman";mso-bidi-font-family:"Times New Roman";color:black;mso-fareast-language:PT-BR">LOCAL: Sala 4-005 – ICMC-USP</span></b><b class="" style="mso-bidi-font-weight:normal"><span class="" style="font-size:12.0pt;line-height:115%;mso-fareast-font-family:"Times New Roman";mso-bidi-font-family:Arial;color:#500050;mso-fareast-language:PT-BR">, São Carlos, SP.</span></b><span class="" style="font-size:12.0pt;line-height:115%;mso-fareast-font-family:"Times New Roman";mso-bidi-font-family:Arial;color:#500050;mso-fareast-language:PT-BR"></span></div> <div class="" style="margin-bottom:0cm;margin-bottom:.0001pt;line-height:normal"><span class="" style="font-size:12.0pt;mso-fareast-font-family:"Times New Roman";mso-bidi-font-family:"Times New Roman";color:black;mso-fareast-language:PT-BR"> </span></div> <div id="yui_3_16_0_1_1428369802440_2508" class="" style="margin-bottom:0cm;margin-bottom:.0001pt;line-height:normal"><b style="" class=""><span class="" style="font-size:14.0pt;mso-fareast-font-family:"Times New Roman";mso-bidi-font-family:"Times New Roman";color:#222222;mso-ansi-language:EN-US;mso-fareast-language:PT-BR" lang="EN-US">TÍTULO:</span></b><span class="" style="font-size:14.0pt;mso-fareast-font-family:"Times New Roman";mso-bidi-font-family:"Times New Roman";color:#222222;mso-ansi-language:EN-US;mso-fareast-language:PT-BR" lang="EN-US"> </span><b id="yui_3_16_0_1_1428369802440_2507" class="" style="mso-bidi-font-weight:normal"><span id="yui_3_16_0_1_1428369802440_2506" class="" style="font-size:14.0pt;mso-fareast-font-family:"Times New Roman";mso-bidi-font-family:"Times New Roman";mso-ansi-language:EN-US;mso-fareast-language:PT-BR" lang="EN-US">Waveletizing statistical procedures based on Fourier expansions</span></b></div> <div id="yui_3_16_0_1_1428369802440_2509" class="" style="margin-bottom:0cm;margin-bottom:.0001pt;line-height:normal"><span class="" style="font-size:12.0pt;mso-fareast-font-family:"Times New Roman";mso-bidi-font-family:"Times New Roman";mso-ansi-language:EN-US;mso-fareast-language:PT-BR" lang="EN-US"> </span></div> <div id="yui_3_16_0_1_1428369802440_2512" class="" style="margin-bottom:0cm;margin-bottom:.0001pt;line-height:normal"><b id="yui_3_16_0_1_1428369802440_2511" style="" class=""><span id="yui_3_16_0_1_1428369802440_2510" class="" style="font-size:14.0pt;mso-fareast-font-family:"Times New Roman";mso-bidi-font-family:"Times New Roman";color:black;mso-ansi-language:EN-US;mso-fareast-language:PT-BR" lang="EN-US">Palestrante: </span></b><b class="" style="mso-bidi-font-weight:normal"><span class="" style="font-size:14.0pt;mso-fareast-font-family:"Times New Roman";mso-bidi-font-family:"Times New Roman";mso-ansi-language:EN-US;mso-fareast-language:PT-BR" lang="EN-US">Michel H. Montoril (IMECC-UNICAMP)</span></b><span class="" style="font-size:14.0pt;mso-fareast-font-family:"Times New Roman";mso-bidi-font-family:"Times New Roman";mso-ansi-language:EN-US;mso-fareast-language:PT-BR" lang="EN-US"></span></div> <div class="" style="margin-bottom:0cm;margin-bottom:.0001pt;text-align:justify;line-height:normal"><b style="" class=""><span class="" style="font-size:12.0pt;mso-fareast-font-family:"Times New Roman";mso-bidi-font-family:"Times New Roman";color:black;mso-ansi-language:EN-US;mso-fareast-language:PT-BR" lang="EN-US"> </span></b></div> <div id="yui_3_16_0_1_1428369802440_2514" class="" style="margin-bottom:0cm;margin-bottom:.0001pt;text-align:justify;line-height:normal"><b style="" class=""><span class="" style="font-size:12.0pt;mso-fareast-font-family:"Times New Roman";mso-bidi-font-family:"Times New Roman";color:black;mso-ansi-language:EN-US;mso-fareast-language:PT-BR" lang="EN-US">Resumo: </span></b><span id="yui_3_16_0_1_1428369802440_2513" class="" style="font-size:12.0pt;mso-fareast-font-family:"Times New Roman";mso-bidi-font-family:"Times New Roman";mso-ansi-language:EN-US;mso-fareast-language:PT-BR" lang="EN-US">: In this work we will discuss the use of wavelets in statistical methodologies that are based on Fourier decompositions. We briefly overview methods like classification, estimation based on biased data, additive regression and estimation of conditional densities. We focus on the problem of estimating regression functions of heteroscedastic models of the kind Y = f(X) + g(X) \epsilon, where \epsilon is independent of X, with mean 0 and variance 1. </span></div> <div id="yui_3_16_0_1_1428369802440_2417" class="" style="margin-bottom:0cm;margin-bottom:.0001pt;text-align:justify;line-height:normal"><span id="yui_3_16_0_1_1428369802440_2416" class="" style="font-size:12.0pt;mso-fareast-font-family:"Times New Roman";mso-bidi-font-family:"Times New Roman";mso-ansi-language:EN-US;mso-fareast-language:PT-BR" lang="EN-US">We will emphasize the estimation of the probability function in mixture regression models. Basically, there is a process Y that can be observed randomly in the time, say T, which is supported on the unit interval. For a fixed time T = t, such a process can be either a random variable (r.v.) V with probability f(t) or a r.v. W with probability 1 - f(t), where V and W are assumed to have known and different means. We illustrate this method by numerical simulation studies for different probability functions f. This is joint work with Brani Vidakovic (Georgia Institute of Technology, USA).</span></div> <div id="yui_3_16_0_1_1428369802440_2418" class="" style="margin-bottom:0cm;margin-bottom:.0001pt;text-align:justify;line-height:normal"><span class="" style="font-size:12.0pt;mso-fareast-font-family:"Times New Roman";mso-bidi-font-family:"Times New Roman";mso-ansi-language:EN-US;mso-fareast-language:PT-BR" lang="EN-US"> </span></div> <div id="yui_3_16_0_1_1428369802440_2419" class="" style="margin-bottom:0cm;margin-bottom:.0001pt;line-height:normal"><span id="yui_3_16_0_1_1428369802440_2420" class="" style="font-size:12.0pt;mso-fareast-font-family:"Times New Roman";mso-bidi-font-family:"Times New Roman";mso-fareast-language:PT-BR">Favor divulgar a possíveis interessados.<br style="" class=""> <br style="" class=""> Saudações, Jorge</span></div> <div class="" style="margin-bottom:0cm;margin-bottom:.0001pt;line-height:normal"><span class="" style="font-size:12.0pt;mso-fareast-font-family:"Times New Roman";mso-bidi-font-family:"Times New Roman";mso-fareast-language:PT-BR"> </span></div> <div class="" style="margin-bottom:0cm;margin-bottom:.0001pt;line-height:normal"><span class="" style="font-size:12.0pt;mso-fareast-font-family:"Times New Roman";mso-bidi-font-family:"Times New Roman";mso-fareast-language:PT-BR"> </span></div> <div class="" style="margin-bottom:0cm;margin-bottom:.0001pt;line-height:normal"><span class="" style="font-size:12.0pt;mso-fareast-font-family:"Times New Roman";mso-bidi-font-family:"Times New Roman";mso-fareast-language:PT-BR">Jorge Luis Bazán</span></div> <div class="" style="margin-bottom:0cm;margin-bottom:.0001pt;line-height:normal"><span class="" style="mso-ansi-language:EN-US" lang="EN-US">Professor Doutor (MS-3)<br style="" class=""> Department of Applied Mathematics and Statistics, ICMC-USP<br style="" class=""> C.P. 668 - São Carlos, SP, Brazil - CEP 13560-970</span><span class="" style="font-size:12.0pt;mso-fareast-font-family:"Times New Roman";mso-bidi-font-family:"Times New Roman";mso-ansi-language:EN-US;mso-fareast-language:PT-BR" lang="EN-US"></span></div> <div style="" class=""><span class="" style="font-size:12.0pt;line-height:115%;mso-fareast-font-family:"Times New Roman";mso-bidi-font-family:"Times New Roman";mso-ansi-language:EN-US;mso-fareast-language:PT-BR" lang="EN-US"><a style="" class="" href="http://www.icmc.usp.br/pessoas/jlbazan/">http://www.icmc.usp.br/pessoas/jlbazan/</a></span></div> <div style="" class="" dir="ltr"><br style="" class=""></div></div></body></html>