<div dir="ltr">Seminari di Matematica Applicata, Dipartimento di Matematica "F. Casorati" e Istituto del CNR IMATI "E. Magenes" di Pavia.<br><br>Martedì 25 Marzo 2025, alle ore 15 precise, presso l'aula Beltrami del Dipartimento di Matematica,<br><br><h4 style="padding:0px;margin:0px 0px 10px;clear:none;color:rgb(23,28,36);font-weight:300;font-stretch:normal;font-size:24px;line-height:1.2;font-family:Montserrat,-apple-system,BlinkMacSystemFont,"Segoe UI",Roboto,sans-serif;font-size-adjust:none;font-kerning:auto;font-variant-alternates:normal;font-variant-ligatures:normal;font-variant-numeric:normal;font-variant-east-asian:normal;font-feature-settings:normal;box-sizing:border-box">Stefano Demichelis (Università di Pavia)</h4><div><br></div><h4 style="padding:0px;margin:0px 0px 10px;clear:none;color:rgb(23,28,36);font-weight:300;font-stretch:normal;line-height:1.2;font-family:Montserrat,-apple-system,BlinkMacSystemFont,"Segoe UI",Roboto,sans-serif;box-sizing:border-box"><span style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif">terrà un seminario dal titolo:</span></h4><div><br></div><h3 style="padding:0px;margin:5px 0px 8px;clear:none;color:rgb(23,28,36);font-weight:300;font-stretch:normal;font-size:28px;line-height:1.2;font-family:Montserrat,-apple-system,BlinkMacSystemFont,"Segoe UI",Roboto,sans-serif;font-size-adjust:none;font-kerning:auto;font-variant-alternates:normal;font-variant-ligatures:normal;font-variant-numeric:normal;font-variant-east-asian:normal;font-feature-settings:normal;box-sizing:border-box">Conditional identifiability in empirical Bayes: a geometric approach.</h3><div><br></div><div><span style="color:rgb(61,61,61);font-family:Roboto,sans-serif;font-size:15px">Abstract: </span><span style="color:rgb(61,61,61);font-family:Roboto,sans-serif;font-size:15px">We examine the uniqueness of the posterior distribution within an Empirical Bayes framework using a discretized prior. To achieve this, we impose Rational Expectations conditions on the prior, focusing on coherence and stability properties. We derive the conditions necessary for posterior uniqueness when observations are drawn from either discrete or continuous distributions. Additionally, we discuss the properties of our discretized prior as an approximation of the true underlying prior.</span></div><div><div><span style="color:rgb(61,61,61);font-family:Roboto,sans-serif;font-size:15px;font-variant-ligatures:normal;text-decoration-style:initial;text-decoration-color:initial"><br>-----------------------------------------</span></div><div><span style="color:rgb(61,61,61);font-family:Roboto,sans-serif;font-size:15px;font-variant-ligatures:normal;text-decoration-style:initial;text-decoration-color:initial"><a href="https://matematica.unipv.it/ricerca/cicli-di-seminari/seminari-di-matematica-applicata/" target="_blank">https://matematica.unipv.it/ricerca/cicli-di-seminari/seminari-di-matematica-applicata/</a><div class="gmail-yj6qo"></div><div class="gmail-adL"></div><div class="gmail-adL"></div><div class="gmail-adL"></div><div class="gmail-adL"></div><div class="gmail-adL"></div></span></div><div class="gmail-adL"><br></div></div><br class="gmail-Apple-interchange-newline"></div>