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Caros, </div>
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Gostaria de convidá-los para o seminário do professor Vinícius Mayrink da UFMG. Segue descrição e link abaixo.</div>
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<b><span style="font-size:13.0pt; line-height:105%; font-family:"Arial",sans-serif; color:#2F5597">STRUCTURAL EQUATION MODELING WITH TIME DEPENDENCE: AN APPLICATION COMPARING BRAZILIAN ENERGY DISTRIBUTORS
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<span style="font-size:10.5pt; line-height:115%; font-family:"Arial",sans-serif; color:#595959">This study proposes a Bayesian structural equation model (SEM) to explore financial and economic sustainability indicators, considered by the Brazilian energy regulator
(ANEEL), to evaluate the performance of energy distribution companies. The methodology applies confirmatory factor analysis for dimension reduction of the original multivariate data set into few representative latent factors. In addition, a regression structure
is defined to establish the impact of the factors over the response "indebtedness" of the companies; this is a central aspect regularly discussed within ANEEL to identify whether a distributor may have difficulty to manage the concession. Most of the variables
in this study are collected for 8 different years (2011-2018), therefore, a time dependence is inserted in the analysis to correlate observations. The SEM approach has several advantages in this context: it avoids using deterministic formulations to measure
non-observable aspects of the distributors, it allows a broad statistical analysis exploring elements that cannot be investigated through the simple descriptive studies currently developed by the regulator and, finally, it provides tools to properly rank and
compare distances between companies. The Bayesian analysis is interesting here, since convergence issues, due to sample size and high dimensionality, may be experienced via classical inference based on maximization. This is a joint work with Renato V. Panaro and
Marcelo A. Costa.</span></p>
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<b><sup><span style="font-family:"Arial",sans-serif; color:#3B3838"> </span></sup></b><b><sup><span style="font-family:"Arial",sans-serif; color:#1F497D">
</span></sup></b><b><sup><span style="font-family:"Arial",sans-serif; color:#3B3838"> </span></sup></b><sup><span style="font-size:9.0pt; line-height:115%; font-family:"Arial",sans-serif; color:#595959">Texto informado
pelo autor</span></sup><b><sup><span style="font-size:9.0pt; line-height:115%; font-family:"Arial",sans-serif; color:#3B3838">.</span></sup></b><span style="font-family:"Arial",sans-serif"></span></p>
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<b><span style="font-family:"Arial",sans-serif; color:#1F4E79">Quando:</span></b><span style="font-family:"Arial",sans-serif"></span></p>
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<span style="font-size:10.5pt; line-height:115%; font-family:"Arial",sans-serif; color:#595959">16 de Julho de 2020, às
<b>16h</b></span><span style="font-family:"Arial",sans-serif; color:#595959"></span></p>
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<span style="font-size:10.5pt; line-height:115%; font-family:"Arial",sans-serif; color:#595959">Via Zoom</span><span style="font-family:"Arial",sans-serif"></span></p>
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<span style="font-size:10.5pt; line-height:115%; font-family:"Arial",sans-serif; color:#595959">Registre-se com antecedência para este seminário:
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</span><span style="font-size:10.5pt; line-height:115%; font-family:"Arial",sans-serif"><a href="https://zoom.us/meeting/register/tJUldu-rrTMpGdMQnkbend7FNW9ZSwOFQDnK">https://zoom.us/meeting/register/tJUldu-rrTMpGdMQnkbend7FNW9ZSwOFQDnK</a></span><span style="color:#1F497D"></span></p>
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<span style="font-size:10.5pt; line-height:115%; font-family:"Arial",sans-serif; color:#595959">Após o registro, você receberá um e-mail de confirmação contendo informações sobre conexão no seminário.</span><span style="font-family:"Arial",sans-serif"></span></p>
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<b><span style="font-family:"Arial",sans-serif; color:#1F4E79">Palestrante:</span></b><b><span style="font-family:"Arial",sans-serif"></span></b></p>
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<b><span style="font-size:10.5pt; line-height:115%; font-family:"Arial",sans-serif; color:#595959">Vinícius Mayrink</span></b><span style="font-size:10.5pt; line-height:115%; font-family:"Arial",sans-serif; color:#595959"> é Professor Associado do Departamento
de Estatística da Universidade Federal de Minas Gerais (UFMG), possuindo título de Doutor (Ph.D.) em Estatística pela Duke University (EUA, 2011). Formou-se Bacharel em Estatística pela UFMG (2004) e recebeu o título de Mestre em Estatística pela Universidade
Federal do Rio de Janeiro (2006). Atualmente, atua como editor Associado do Brazilian Journal of Probability and Statistics (BJPS). Suas áreas de interesse são: Inferência Bayesiana, Análise Multivariada, Estatística Espacial, Análise de Sobrevivência e Modelagem
Estatística em Bioinformática.</span></p>
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