<html><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space; "><div><div style="margin-top: 0px; margin-right: 0px; margin-bottom: 0px; margin-left: 0px; "><font class="Apple-style-span" face="'Gill Sans'"><span class="Apple-style-span" style="font-family: Helvetica; "><div style="margin-top: 0px; margin-right: 0px; margin-bottom: 0px; margin-left: 0px; "><font class="Apple-style-span" face="'Gill Sans'" size="3"><span class="Apple-style-span" style="font-size: 12px;">.: Prof. Nial Friel, School of Mathematical Sciences, University College, Dublin :.</span></font></div><div><div style="margin-top: 0px; margin-right: 0px; margin-bottom: 0px; margin-left: 0px; "><font class="Apple-style-span" face="'Gill Sans'" size="3"><span class="Apple-style-span" style="font-size: 12px;"><br></span></font></div><div style="margin-top: 0px; margin-right: 0px; margin-bottom: 0px; margin-left: 0px; "><font class="Apple-style-span" face="'Gill Sans'"><br></font></div><div style="margin-top: 0px; margin-right: 0px; margin-bottom: 0px; margin-left: 0px; "><font style="font: normal normal normal 12px/normal 'Gill Sans'; ">Martedi 23 Giugno, ore 12</font></div><div style="margin-top: 0px; margin-right: 0px; margin-bottom: 0px; margin-left: 0px; "><font style="font: normal normal normal 12px/normal 'Gill Sans'; ">Dipartimento di Economia, Finanza e Statistica, Aula 202</font></div><div style="margin-top: 0px; margin-right: 0px; margin-bottom: 0px; margin-left: 0px; "><font style="font: normal normal normal 12px/normal 'Gill Sans'; ">Università degli Studi di Perugia</font></div></div></span></font></div><div style="margin-top: 0px; margin-right: 0px; margin-bottom: 0px; margin-left: 0px; "><font class="Apple-style-span" face="'Gill Sans'" size="3"><span class="Apple-style-span" style="font-size: 12px;">.: Bayesian inference for hidden Markov random fields :.<br></span></font></div><div style="margin-top: 0px; margin-right: 0px; margin-bottom: 0px; margin-left: 0px; "><font class="Apple-style-span" face="'Gill Sans'" size="3"><span class="Apple-style-span" style="font-size: 12px;">Abstract.<br>Markov random fields for discrete valued lattice processes are popular for modeling spatial data. However a complication arises due to the fact the likelihood is difficult to compute. This talk will address several approaches to overcome this problem. Our interest is in the particular case where the markov random field is latent and is hidden by a noise process.<br></span></font></div><div style="margin-top: 0px; margin-right: 0px; margin-bottom: 0px; margin-left: 0px; "><font class="Apple-style-span" face="'Gill Sans'" size="3"><span class="Apple-style-span" style="font-size: 12px;"><br></span></font></div><div style="margin-top: 0px; margin-right: 0px; margin-bottom: 0px; margin-left: 0px; "><font class="Apple-style-span" face="'Gill Sans'"><br></font></div><div style="margin-top: 0px; margin-right: 0px; margin-bottom: 0px; margin-left: 0px; "><div style="margin-top: 0px; margin-right: 0px; margin-bottom: 0px; margin-left: 0px; "><font style="font: normal normal normal 12px/normal 'Gill Sans'; ">Venerdi 26 Giugno, ore 12</font></div><div style="margin-top: 0px; margin-right: 0px; margin-bottom: 0px; margin-left: 0px; "><font style="font: normal normal normal 12px/normal 'Gill Sans'; ">Dipartimento di Economia, Finanza e Statistica, Aula D</font></div><div style="margin-top: 0px; margin-right: 0px; margin-bottom: 0px; margin-left: 0px; "><font style="font: normal normal normal 12px/normal 'Gill Sans'; ">Università degli Studi di Perugia</font></div></div><div style="margin-top: 0px; margin-right: 0px; margin-bottom: 0px; margin-left: 0px; "><font style="font: normal normal normal 12px/normal 'Gill Sans'; ">.: Bayesian inference for the p* model :.</font></div><font class="Apple-style-span" face="'Gill Sans'" size="3"><span class="Apple-style-span" style="font-size: 12px;">Abstract.<br>The p* Model is widely used in social network analysis. It is in fact a markov random field model and suffers from the problem, in common with usual markov random field models, that the likelihood is unspecified for all but trivially small networks. Here we present a Bayesian approach which overcomes these problems to a large extent.<br></span></font><div style="margin-top: 0px; margin-right: 0px; margin-bottom: 0px; margin-left: 0px; font: normal normal normal 12px/normal 'Gill Sans'; min-height: 14px; "><br></div><div style="margin-top: 0px; margin-right: 0px; margin-bottom: 0px; margin-left: 0px; font: normal normal normal 12px/normal 'Gill Sans'; min-height: 14px; "><br></div><div style="margin-top: 0px; margin-right: 0px; margin-bottom: 0px; margin-left: 0px; font: normal normal normal 12px/normal 'Gill Sans'; min-height: 14px; "><br></div><div style="margin-top: 0px; margin-right: 0px; margin-bottom: 0px; margin-left: 0px; "><font style="font: normal normal normal 12px/normal 'Gill Sans'; ">Cordiali saluti</font></div></div><div><font class="Apple-style-span" face="'Gill Sans'" size="3"><span class="Apple-style-span" style="font-size: 12px;"><br></span></font></div><div><span class="Apple-style-span" style="font-family: 'Gill Sans'; "><div><font class="Apple-style-span" size="3"><span class="Apple-style-span" style="font-size: 12px;">M. Giovanna Ranalli</span></font></div><div><font class="Apple-style-span" size="3"><span class="Apple-style-span" style="font-size: 12px;"><br class="khtml-block-placeholder"></span></font></div><div><font class="Apple-style-span" size="3"><span class="Apple-style-span" style="font-size: 12px;">~ Dipartimento di Economia, Finanza e Statistica</span></font></div><div><font class="Apple-style-span" size="3"><span class="Apple-style-span" style="font-size: 12px;">~ Sezione di Statistica</span></font></div><div><font class="Apple-style-span" size="3"><span class="Apple-style-span" style="font-size: 12px;">~ Via Pascoli</span></font></div><div><font class="Apple-style-span" size="3"><span class="Apple-style-span" style="font-size: 12px;">~ 06123 Perugia - Italy</span></font></div><div><font class="Apple-style-span" size="3"><span class="Apple-style-span" style="font-size: 12px;"><br class="khtml-block-placeholder"></span></font></div><div><font class="Apple-style-span" size="3"><span class="Apple-style-span" style="font-size: 12px;">~ Tel +39 075 5855939</span></font></div><div><font class="Apple-style-span" size="3"><span class="Apple-style-span" style="font-size: 12px;">~ Fax +39 075 5855950</span></font></div><div><font class="Apple-style-span" size="3"><span class="Apple-style-span" style="font-size: 12px;">~ url: </span></font><a href="http://www.stat.unipg.it/~giovanna"><font class="Apple-style-span" size="3"><span class="Apple-style-span" style="font-size: 12px;">www.stat.unipg.it/~giovanna</span></font></a></div></span></div></body></html>