<div dir="ltr"><p style="margin:0cm 0cm 0.0001pt;text-align:justify;font-size:12pt;font-family:"Times New Roman","serif""><span style="font-size:11pt;color:black">Prezados redistas, o título do seminário foi atualizado.</span></p><p style="margin:0cm 0cm 0.0001pt;text-align:justify;font-size:12pt;font-family:"Times New Roman","serif""><span style="font-size:11pt;color:black"><br></span></p><p style="margin:0cm 0cm 0.0001pt;text-align:justify;font-size:12pt;font-family:"Times New Roman","serif""><span style="font-size:11pt;color:black">Peço desculpas!</span></p><p style="margin:0cm 0cm 0.0001pt;text-align:justify;font-size:12pt;font-family:"Times New Roman","serif"">Atenciosamente</p><p style="margin:0cm 0cm 0.0001pt;text-align:justify;font-size:12pt;font-family:"Times New Roman","serif"">*************************************************************************************</p><p style="margin:0cm 0cm 0.0001pt;text-align:justify;font-size:12pt;font-family:"Times New Roman","serif""><span style="font-size:11pt;color:black">Na próxima
quinta-feira, dia <b>06 de outubro, às 17h00</b>, daremos continuidade aos
Seminários em Estatística e Ciência de Dados do Departamento de Estatística da
Universidade Federal da Bahia. </span><span style="font-size:11pt;color:rgb(69,69,69)"></span></p>
<p style="margin:0cm 0cm 0.0001pt;text-align:justify;font-size:12pt;font-family:"Times New Roman","serif""><span style="font-size:11pt;color:rgb(69,69,69)"> </span></p>
<p class="MsoNormal" style="text-align:justify;margin:0cm 0cm 0.0001pt;font-size:12pt;font-family:"Liberation Serif","serif""><span lang="EN-US" style="font-size:11pt;font-family:"Times New Roman","serif";color:black">This seminary will be presented by <b>Prof. </b></span><b><span lang="EN-US" style="font-size:11pt;font-family:"Times New Roman","serif"">Olushina Olawale
Awe</span></b><span lang="EN-US" style="font-size:11pt;font-family:"Times New Roman","serif";color:black">. </span><span lang="EN-GB" style="font-size:11pt;font-family:"Times New Roman","serif"">Olawale. Awe is an Elected Member of the
International Statistical Institute (ISI) and a Fellow of the African
Scientific Institute, USA. He is the First LISA Fellow and presently the LISA
2020 Global Engagement Ambassador in the LISA 2020 Global Network of the University
of Colorado, Boulder, USA. He holds a
PhD in Statistics from the University of Ibadan, Nigeria and MBA from Obafemi
Awolowo University, Ile-Ife, Nigeria. He is an Affiliate member of the African
Academy of Sciences (AAS) and an immediate past Council Member of the
International Society for Business and Industrial Statistics (ISBIS)
(2017-2021). Currently, he is visiting scholar at the Institute of Mathematics,
Statistics and Scientific Computing, University of Campinas, Brazil (2021-2023).</span></p>
<p class="MsoNormal" style="text-align:justify;margin:0cm 0cm 0.0001pt;font-size:12pt;font-family:"Liberation Serif","serif""><span lang="EN-GB" style="font-size:11pt;font-family:"Times New Roman","serif""> </span></p>
<p style="margin:0cm 0cm 0.0001pt;text-align:justify;font-size:12pt;font-family:"Times New Roman","serif""><span lang="EN-US" style="font-size:11pt;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">Following some details about this
seminary:</span></p>
<div style="border-top:none;border-right:none;border-left:none;border-bottom:2.25pt double windowtext;padding:0cm 0cm 1pt">
<p style="margin:0cm 0cm 0.0001pt;text-align:justify;border:none;padding:0cm;font-size:12pt;font-family:"Times New Roman","serif""><span lang="EN-US" style="font-size:11pt;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"> </span></p>
</div>
<p class="MsoNormal" style="text-align:justify;margin:0cm 0cm 0.0001pt;font-size:12pt;font-family:"Liberation Serif","serif""><span lang="EN-US" style="font-size:11pt;font-family:"Times New Roman","serif";color:black">Tile: </span><b><span lang="EN-US" style="font-size:11pt;font-family:"Times New Roman","serif"">Supervised
Heteroscedastic Discriminant Analysis of High-Dimensional Survey Data</span></b><span lang="EN-US" style="font-size:11pt;font-family:"Times New Roman","serif""></span></p><p class="MsoNormal" style="text-align:justify;margin:0cm 0cm 0.0001pt;font-size:12pt;font-family:"Liberation Serif","serif""><b><span lang="EN-US" style="font-size:11pt;font-family:"Times New Roman","serif""><br></span></b></p><p class="MsoNormal" style="text-align:justify;margin:0cm 0cm 0.0001pt;font-size:12pt;font-family:"Liberation Serif","serif""><span lang="EN-US" style="font-size:11pt;font-family:"Times New Roman","serif""> </span><span style="font-family:"Times New Roman","serif";font-size:11pt">Discriminant analysis is a
standard statistical learning method for modern data analysis. In many
practical data applications, there are often a large number of pre-processed
heteroscedastic features. It is well known that the Linear Discriminant Analysis
(LDA) is quite suboptimal for the analysis of high dimensional heteroscedastic
data because of the inherent singularity and instability of the within-class
scatter matrix. However, shrinkage discriminant analysis (SDA) and its variants
often perform better due to its robustness against inherent multicollinearity
and heteroscedasticity. In this work, we propose some newly modified
discriminant classification algorithms based on the SDA. We show an estimation
consistency property of three newly modified supervised methods, and compare
with the heteroscedastic discriminant algorithm and other existing competitors.
Our empirical application shows that the proposed algorithms perform moderately
well for datasets with high dimensions and unequal covariance structures when
applied to nutrition data. The sensitivity and specificity of the target
classes ranges from 70-100\%. The balanced accuracy of all the algorithms
ranges from 50 to 75\% for a three-class problem. It was concluded that
shrinkage discriminant algorithms performs well with high sensitivity for
classifying heteroscedastic survey data with high dimensions</span></p><p class="MsoNormal" style="margin:0cm 0cm 0.0001pt;font-size:12pt;font-family:"Liberation Serif","serif""><b><span lang="PT" style="font-size:11pt;font-family:"Times New Roman","serif";color:black">Dia:</span></b><span lang="PT" style="font-size:11pt;font-family:"Times New Roman","serif";color:black"> 06 de outubro de 2022.</span><span lang="PT" style="font-size:11pt;font-family:"Times New Roman","serif";color:rgb(69,69,69)"></span></p>
<p style="margin:0cm 0cm 0.0001pt;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;font-size:12pt;font-family:"Times New Roman","serif""><span style="font-size:11pt;color:rgb(69,69,69)"> </span></p>
<p style="margin:0cm 0cm 0.0001pt;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;font-size:12pt;font-family:"Times New Roman","serif""><b><span style="font-size:11pt;color:black">Hora:</span></b><span style="font-size:11pt;color:black"> 17h00.</span><span style="font-size:11pt;color:rgb(69,69,69)"></span></p>
<p style="background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;margin-right:0cm;margin-left:0cm;font-size:12pt;font-family:"Times New Roman","serif""><b><span lang="EN-US" style="font-size:11pt;color:black">Link: </span></b><u><span lang="EN-US" style="font-size:11pt;color:rgb(0,112,192)">https:// <a href="http://meet.google.com/rcp-qgtt-jwz" target="_blank">meet.google.com/rcp-qgtt-jwz</a></span></u></p></div><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">Em qua., 28 de set. de 2022 às 21:30, Lizandra Castilho Fabio <<a href="mailto:lizandra.fabio@ufba.br" target="_blank">lizandra.fabio@ufba.br</a>> escreveu:<br></div><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex"><div dir="ltr"><p style="margin:0cm 0cm 0.0001pt;text-align:justify;font-size:12pt;font-family:"Times New Roman","serif""><span style="font-size:11pt;color:black">Prezados, bom dia!</span><span style="font-size:11pt;color:rgb(69,69,69)"></span></p>
<p style="margin:0cm 0cm 0.0001pt;text-align:justify;font-size:12pt;font-family:"Times New Roman","serif""><span style="font-size:11pt;color:rgb(69,69,69)"> </span></p>
<p style="margin:0cm 0cm 0.0001pt;text-align:justify;font-size:12pt;font-family:"Times New Roman","serif""><span style="font-size:11pt;color:black">Na próxima
quinta-feira, dia <b>06 de outubro, às 17h00</b>, daremos continuidade aos
Seminários em Estatística e Ciência de Dados do Departamento de Estatística da
Universidade Federal da Bahia. </span><span style="font-size:11pt;color:rgb(69,69,69)"></span></p>
<p style="margin:0cm 0cm 0.0001pt;text-align:justify;font-size:12pt;font-family:"Times New Roman","serif""><span style="font-size:11pt;color:rgb(69,69,69)"> </span></p>
<p class="MsoNormal" style="text-align:justify;margin:0cm 0cm 0.0001pt;font-size:12pt;font-family:"Liberation Serif","serif""><span lang="EN-US" style="font-size:11pt;font-family:"Times New Roman","serif";color:black">This seminary will be presented by <b>Prof. </b></span><b><span lang="EN-US" style="font-size:11pt;font-family:"Times New Roman","serif"">Olushina Olawale
Awe</span></b><span lang="EN-US" style="font-size:11pt;font-family:"Times New Roman","serif";color:black">. He</span><span lang="EN-GB" style="font-size:11pt;font-family:"Times New Roman","serif""> is an Elected Member of the
International Statistical Institute (ISI) and a Fellow of the African
Scientific Institute, USA. He is the First LISA Fellow and presently the LISA
2020 Global Engagement Ambassador in the LISA 2020 Global Network of the University
of Colorado, Boulder, USA. He holds a
PhD in Statistics from the University of Ibadan, Nigeria and MBA from Obafemi
Awolowo University, Ile-Ife, Nigeria. He is an Affiliate member of the African
Academy of Sciences (AAS) and an immediate past Council Member of the
International Society for Business and Industrial Statistics (ISBIS)
(2017-2021). </span><span style="font-family:"Times New Roman","serif";font-size:11pt">Currently,</span><span style="font-family:"Times New Roman","serif";font-size:11pt"> he is visiting
scholar at the Institute of Mathematics, Statistics and Scientific Computing,
University of Campinas, Brazil (2021-2023).</span></p>
<p class="MsoNormal" style="text-align:justify;margin:0cm 0cm 0.0001pt;font-size:12pt;font-family:"Liberation Serif","serif""><span lang="EN-GB" style="font-size:11pt;font-family:"Times New Roman","serif""> </span></p>
<p style="margin:0cm 0cm 0.0001pt;text-align:justify;font-size:12pt;font-family:"Times New Roman","serif""><span lang="EN-US" style="font-size:11pt;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">Following some details about this
seminary:</span></p>
<p style="margin:0cm 0cm 0.0001pt;text-align:justify;font-size:12pt;font-family:"Times New Roman","serif""><span lang="EN-US" style="font-size:11pt;color:rgb(69,69,69)"> </span><span style="color:black;font-size:11pt">====================================================</span></p><p class="MsoNormal" style="text-align:justify;margin:0cm 0cm 0.0001pt;font-size:12pt;font-family:"Liberation Serif","serif""><span lang="EN-US" style="font-size:11pt;font-family:"Times New Roman","serif""></span></p>
<p style="margin:0cm 0cm 0.0001pt;text-align:justify;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;font-size:12pt;font-family:"Times New Roman","serif""><b><span lang="EN-US" style="font-size:11pt;color:black"> </span></b><b style="font-size:12pt"><span lang="EN-US" style="font-size:11pt;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">Title</span></b><span lang="EN-US" style="background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;font-size:11pt">: Modelling Point Referenced Spatial Count Data: A Poisson Process
Approach</span></p><p style="margin:0cm 0cm 0.0001pt;text-align:justify;font-size:12pt;font-family:"Times New Roman","serif""><span lang="EN-US" style="font-size:11pt">
<br>
</span><span lang="EN-US" style="font-size:11pt">Discriminant
analysis is a standard statistical learning method for modern data analysis. In
many practical data applications, there are often a large number of
pre-processed heteroscedastic features. It is well known that the Linear
Discriminant Analysis (LDA) is quite suboptimal for the analysis of high
dimensional heteroscedastic data because of the inherent singularity and
instability of the within-class scatter matrix. However, shrinkage discriminant
analysis (SDA) and its variants often perform better due to its robustness
against inherent multicollinearity and heteroscedasticity. In this work, we
propose some newly modified discriminant classification algorithms based on the
SDA. We show an estimation consistency property of three newly modified supervised
methods, and compare with the heteroscedastic discriminant algorithm and other
existing competitors. Our empirical application shows that the proposed
algorithms perform moderately well for datasets with high dimensions and
unequal covariance structures when applied to nutrition data. The
sensitivity and specificity of the target classes ranges from 70-100\%. The
balanced accuracy of all the algorithms ranges from 50 to 75\% for a
three-class problem. It was concluded that shrinkage discriminant algorithms
perform well with high sensitivity for classifying heteroscedastic survey data
with high dimensions.</span></p>
<p class="MsoNormal" style="margin:0cm 0cm 0.0001pt;font-size:12pt;font-family:"Liberation Serif","serif""><span style="font-size:11pt;font-family:"Times New Roman","serif""><br>
</span><b><span lang="PT" style="font-size:11pt;font-family:"Times New Roman","serif";color:black">Dia:</span></b><span lang="PT" style="font-size:11pt;font-family:"Times New Roman","serif";color:black"> 06 de outubro de 2022.</span><span lang="PT" style="font-size:11pt;font-family:"Times New Roman","serif";color:rgb(69,69,69)"></span></p>
<p style="margin:0cm 0cm 0.0001pt;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;font-size:12pt;font-family:"Times New Roman","serif""><span style="font-size:11pt;color:rgb(69,69,69)"> </span></p>
<p style="margin:0cm 0cm 0.0001pt;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;font-size:12pt;font-family:"Times New Roman","serif""><b><span style="font-size:11pt;color:black">Hora:</span></b><span style="font-size:11pt;color:black"> 17h00.</span><span style="font-size:11pt;color:rgb(69,69,69)"></span></p>
<p style="background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;margin-right:0cm;margin-left:0cm;font-size:12pt;font-family:"Times New Roman","serif""><b><span lang="EN-US" style="font-size:11pt;color:black">Link: </span></b><u><span lang="EN-US" style="font-size:11pt;color:rgb(0,112,192)">https:// <a href="http://meet.google.com/rcp-qgtt-jwz" target="_blank">meet.google.com/rcp-qgtt-jwz</a></span></u><b><span lang="EN-US" style="font-size:11pt;color:black"></span></b></p><div><br></div>-- <br><div dir="ltr"><div dir="ltr"><b>Lizandra Castilho Fabio<br></b><div><span style="font-family:verdana,sans-serif">Associate</span> Professor</div><div>Department of Statistics</div><div>Federal University of Bahia, Brazil</div></div></div></div>
</blockquote></div><br clear="all"><div><br></div>-- <br><div dir="ltr"><div dir="ltr"><b>Lizandra Castilho Fabio<br></b><div><span style="font-family:verdana,sans-serif">Associate</span> Professor</div><div>Department of Statistics</div><div>Federal University of Bahia, Brazil</div></div></div>