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<p class="MsoNormal"><span style="mso-fareast-language:PT-BR"><img width="87" height="31" style="width:.9062in;height:.3229in" id="Imagem_x0020_14" alt="Logo Insper" src="cid:image001.jpg@01D63599.EDED2B20"></span><span style="font-size:12.0pt"><o:p></o:p></span></p>
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<p class="MsoNormal" align="center" style="text-align:center"><span style="font-size:1.0pt"><a href="https://www.insper.edu.br/conhecimento/" target="_blank"><span style="font-size:10.5pt;font-family:"Verdana",sans-serif;color:#7B7B7B;text-decoration:none">Pesquisa</span></a><o:p></o:p></span></p>
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<p class="MsoNormal" align="center" style="text-align:center"><span style="font-size:1.0pt"><a href="https://www.insper.edu.br/transforme-com-o-insper/" target="_blank"><span style="font-size:10.5pt;font-family:"Verdana",sans-serif;color:#7B7B7B;text-decoration:none">Transforme
com o Insper</span></a><o:p></o:p></span></p>
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<p class="MsoNormal"><strong><span style="font-size:18.0pt;font-family:"Verdana",sans-serif;color:#C00026">Ciência de Dados e Decisão</span></strong><br>
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<span style="font-family:"Verdana",sans-serif;color:#C00026">Seminários Acadêmicos</span><span style="font-size:12.0pt"><o:p></o:p></span></p>
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<p><b><span lang="EN-US" style="font-size:13.0pt;font-family:"Verdana",sans-serif">Dynamical non-Gaussian modelling of spatial processes<strong><span style="font-family:"Verdana",sans-serif;color:#333333">
<o:p></o:p></span></strong></span></b></p>
<p><strong><span lang="EN-US" style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:#1F497D"><o:p> </o:p></span></strong></p>
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<p><strong><span lang="EN-US" style="font-size:11.5pt;font-family:"Verdana",sans-serif;color:#333333;mso-fareast-language:EN-US">Palestrante:</span></strong><span lang="EN-US" style="font-size:11.5pt;font-family:"Verdana",sans-serif;color:#333333;mso-fareast-language:EN-US"> Profa.
Viviana Lobo<br>
<strong><span style="font-family:"Verdana",sans-serif">Universidade</span></strong></span><b><span lang="EN-US">: </span></b><span lang="EN-US" style="font-size:11.5pt;font-family:"Verdana",sans-serif;color:#333333;mso-fareast-language:EN-US">
</span><span lang="EN-US" style="font-size:11.5pt;font-family:"Verdana",sans-serif;mso-fareast-language:EN-US">Instituto de Matemática - UFRJ</span><span lang="EN-US" style="font-size:11.5pt"><o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="font-size:11.5pt;font-family:"Verdana",sans-serif;color:#333333">Spatio-temporal processes in environmental applications are often assumed to follow a Gaussian model, possibly after some transformation. However,
heterogeneity in space and time might have a pattern that will not be accommodated by transforming the data. In this scenario, modelling the variance laws is an appealing alternative. This work adds flexibility to the usual Dynamical Gaussian model by defining
the process as a scale mixture between a Gaussian and log-Gaussian process. The scale is represented by a process varying smoothly over space and time. State-space equations define the dynamics over time for both response and variance processes resulting in
computationally efficient estimation and prediction algorithms. Analysis of artificial datasets show that the parameters are identifiable and simpler models are well recovered by the general proposed model. An application to maximum temperature data illustrates
the effectiveness of our proposal in modelling varying variances over time and space.<o:p></o:p></span></p>
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<p class="MsoNormal"><span lang="EN-US" style="font-size:11.5pt;font-family:"Verdana",sans-serif;color:#333333">Jointly with Thais C. O. Fonseca and Alexandra M. Schmidt.<o:p></o:p></span></p>
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<p><strong><span lang="EN-US" style="font-size:11.5pt;font-family:"Verdana",sans-serif;color:#333333;mso-fareast-language:EN-US">#SomosInsper</span></strong><span style="font-size:11.5pt;font-family:"Verdana",sans-serif;color:#333333"><o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:10.5pt;font-family:"Verdana",sans-serif">04<span style="color:black">/junho/2020<o:p></o:p></span></span></p>
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<p class="MsoNormal"><strong><span style="font-size:10.5pt;font-family:"Verdana",sans-serif;color:black;font-weight:normal">12</span></strong><strong><span style="font-size:10.5pt;font-family:"Verdana",sans-serif;font-weight:normal">h<span style="color:black">
de São Paulo, Brasil (UTC/GMT -03:00)</span></span></strong><b><span style="font-size:10.5pt;font-family:"Verdana",sans-serif"><o:p></o:p></span></b></p>
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<p class="MsoNormal"><strong><span style="font-size:10.5pt;font-family:"Verdana",sans-serif;color:#1F497D;font-weight:normal"><a href="https://teams.microsoft.com/l/meetup-join/19%3ameeting_YTYxYjllNDYtMDZiNy00NzRhLWFkYTctMWFjMjU4YWUyN2Q3%40thread.v2/0?context=%7b%22Tid%22%3a%229e2f1485-3e53-4662-b1de-0c2bcb66d447%22%2c%22Oid%22%3a%22b7ac2332-75f3-4a8d-af0c-308a8e410083%22%7d">Clique
aqui para participar</a></span></strong><o:p></o:p></p>
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<p class="MsoNormal" style="margin-bottom:12.0pt"><span style="font-size:11.5pt;font-family:"Verdana",sans-serif;color:#333333">Veja <a href="https://www.insper.edu.br/pesquisa-e-conhecimento/seminarios-academicos/"><strong><span style="font-family:"Verdana",sans-serif">aqui</span></strong></a> os
próximos seminários.</span><span style="font-size:12.0pt"><o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:9.0pt;font-family:"Verdana",sans-serif;color:#7B7B7B">Rua Quatá, 300 - Vila Olímpia<br>
São Paulo/SP - CEP: 04546-042</span><span style="font-size:11.5pt;font-family:"Verdana",sans-serif;color:#7B7B7B"><o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:9.0pt;font-family:"Verdana",sans-serif;color:#7B7B7B">(11) 4504-2400<br>
<a href="mailto:seminariosacademicos@insper.edu.brsubject=Contato"><span style="color:#F25560">seminariosacademicos@insper.edu.br</span></a></span><span style="font-size:11.5pt;font-family:"Verdana",sans-serif;color:#7B7B7B"><o:p></o:p></span></p>
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