<div dir="ltr"><div class="gmail_default" style="font-family:verdana,sans-serif;font-size:small">Prezados(as)</div><div class="gmail_default" style="font-family:verdana,sans-serif;font-size:small"><br></div><div class="gmail_default" style="font-family:verdana,sans-serif;font-size:small">Esta semana, no dia 2/5 as 13hs, sala 221 IMECC, teremos mais um seminário em Análise da Dados em Alta Dimensão <AD,AD>.</div><div class="gmail_default" style="font-family:verdana,sans-serif;font-size:small">Aos que puderem comparecer, sejam bem vindos.</div><div class="gmail_default" style="font-family:verdana,sans-serif;font-size:small"><br></div><div class="gmail_default" style="font-family:verdana,sans-serif;font-size:small"><span style="color:rgb(34,34,34);font-family:arial,sans-serif;font-style:normal;font-variant-ligatures:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;text-decoration-style:initial;text-decoration-color:initial;font-size:small;background-color:rgb(255,255,255);float:none;display:inline">Título: Strongly consistent estimator for the number of communities of the Stochastic Block Model</span><br style="color:rgb(34,34,34);font-family:arial,sans-serif;font-style:normal;font-variant-ligatures:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;background-color:rgb(255,255,255);text-decoration-style:initial;text-decoration-color:initial;font-size:small">Autora: Andressa Cerqueira</div><div class="gmail_default" style="font-size:small"><font face="verdana, sans-serif"><br style="color:rgb(34,34,34);font-style:normal;font-variant-ligatures:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;background-color:rgb(255,255,255);text-decoration-style:initial;text-decoration-color:initial;font-size:small"></font><span style="font-family:arial,sans-serif;color:rgb(34,34,34);font-style:normal;font-variant-ligatures:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;text-decoration-style:initial;text-decoration-color:initial;font-size:small;background-color:rgb(255,255,255);float:none;display:inline">Resumo: In this talk, I will introduce a probabilistic model defined on networks called Stochastic Block Model. I will present some inferential problems on this class of models with focus on the estimation of the number of communities of the model. I will present a strongly consistent estimator for the number of communities based on the Krichevsky-Trofimov mixture.<span> </span></span><span style="font-family:arial,sans-serif;color:rgb(34,34,34);font-style:normal;font-variant-ligatures:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;text-decoration-style:initial;text-decoration-color:initial;font-size:small;background-color:rgb(255,255,255);float:none;display:inline">Our results apply to both the dense and the sparse regimes. </span><span style="font-family:arial,sans-serif;color:rgb(34,34,34);font-style:normal;font-variant-ligatures:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;text-decoration-style:initial;text-decoration-color:initial;font-size:small;background-color:rgb(255,255,255);float:none;display:inline">This is a joint work with Florencia Leonardi (IME-USP).</span><br></div><br clear="all"><div><br></div>-- <br><div class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><div><div>Ronaldo Dias</div>Professor<div>Dept. of Statistics-IMECC, UNICAMP</div><div><a href="http://www.ime.unicamp.br/~dias" target="_blank">www.ime.unicamp.br/~dias</a></div><div><br></div></div></div></div>
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