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<p class="m_3820231499946750433western" style="text-align:center" align="center"><span style="font-size:14pt"><b>O Programa de Pós-Graduação em Estatística convida para:</b></span></p>
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<p class="m_3820231499946750433western" style="text-align:center"><span style="color:#ffffff;font-size:18pt;background-color:#000000"><b>PALESTRA:</b></span></p>
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<p class="m_3820231499946750433western" align="center"><span style="font-size:18pt"><b><span style="color:#000000"><u>“</u></span></b><b><span style="color:#000000"><span><u>A copula-based partition Markov procedure</u></span></span></b><b><span style="color:#000000"><span><u>”</u></span></span></b></span></p>
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<p class="m_3820231499946750433western" style="text-align:center" align="center"><span style="font-size:14pt"><b>Palestrante:</b></span></p>
<p class="m_3820231499946750433western" style="text-align:center" align="center"><span style="font-size:14pt">Verônica Andréa Gonzales Lopes (UNICAMP)</span></p>
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<p class="m_3820231499946750433western" style="text-align:center"><span style="font-size:14pt"><span><b>DATA: </b>23</span><span style="color:#000000"><span>/11</span></span><span style="color:#000000"><span>/2017</span></span><span style="color:#000000"><span> </span></span><span>(quinta-feira)</span></span></p>
<p class="m_3820231499946750433western" style="text-align:center"><span style="font-size:14pt"><span><b>HORÁRIO: </b></span><span>16:00h</span></span></p>
<p class="m_3820231499946750433western" style="text-align:center" align="justify"><span style="font-size:14pt"><span><b>LOCAL: </b></span><span style="color:#000000"><span>Sala Multiuso (A1-7/76)</span></span><span style="color:#000000"><span> </span></span></span></p>
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<p class="m_3820231499946750433western" style="text-align:center" align="center"><span style="font-family:'Times New Roman',serif;font-size:18pt"><b>Resumo</b></span></p>
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<p class="m_3820231499946750433western" style="text-align:justify" align="justify"><span style="color:#000000"><span style="font-family:'Times New Roman',serif"><span style="font-size:x-large">The number of parameters needed to specify a discrete multivariate Markov chain grows exponentially with the order and dimension of the chain, and when the size of the database is not large enough, it is not possibly a consistent estimation. In this paper, we introduce a strategy to estimate a multivariate process with an order greater than the order achieved using standard procedures. The new strategy consists in obtaining a partition of the state space which is constructed from a combination of the partitions corresponding to the marginal processes and the partitions corresponding to the multivariate Markov chain.</span></span></span></p>
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<p style="text-align:center"><span style="color:#000000;background-color:#99ccff;font-family:'arial black',sans-serif;font-size:12pt"><b> VEJA OS PRÓXIMOS SEMINÁRIOS: <a style="background-color:#99ccff;color:#000000" href="http://www.pgest.unb.br/seminarios" rel="noreferrer" target="_blank">http://www.pgest.<wbr>unb.br/seminarios</a> </b></span></p>
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<div style="text-align:center">______________________________<wbr>______________________________<wbr>______________________________<wbr>________________<span class="HOEnZb"><font color="#888888"><br>
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<div class="m_3820231499946750433pre" style="margin:0;padding:0;font-family:monospace">Programa de Pós-Graduação em Estatística<br> Universidade de Brasília<br> <a href="http://www.pgest.unb.br" rel="noreferrer" target="_blank">www.pgest.unb.br</a><br> Telefone: (61) 3107-3697</div>
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