<html><head><meta http-equiv="content-type" content="text/html; charset=utf-8"></head><body dir="auto">Já mandei <br id="lineBreakAtBeginningOfSignature"><div dir="ltr">Sent from Hedibert's iPhone</div><div dir="ltr"><br><blockquote type="cite">On Mar 14, 2025, at 09:12, Hedibert Lopes <hedibert@gmail.com> wrote:<br><br></blockquote></div><blockquote type="cite"><div dir="ltr"><meta http-equiv="content-type" content="text/html; charset=utf-8">Bom dia pessoal,<div><br></div><div>Divido a informação desse webinar que me foi passado pela Professora Alexandra Schmidt. A série <span style="color: rgb(0, 0, 0); font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt;">CIRS/SWB Webinar é muito prestigiada e é parte de um projeto da ASA.</span></div><div><br></div><div>Abs,</div><div>Hedibert</div><div><br><blockquote type="cite"><div dir="ltr"><hr style="display: inline-block; width: 98%;">
<div dir="ltr" id="divRplyFwdMsg"><span style="font-family: Calibri, sans-serif; font-size: 11pt; color: rgb(0, 0, 0);"><b>From:</b> Alexandra Schmidt, Dr <alexandra.schmidt@mcgill.ca><br>
<b>Sent:</b> Friday, March 14, 2025 7:59 AM<br>
<b>To:</b> d-ssc@ssc.ca <d-ssc@ssc.ca><br>
<b>Subject:</b> CIRS-SWB/ASA Webinar Series - April 9 2025 - "Gaussian Processes for Regression: Models, Algorithms, and Inference" by Dr. Tamara Broderick (MIT)</span>
<div> </div>
</div>
<div style="direction: ltr; font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">
Dear Colleagues,</div>
<div style="direction: ltr; font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">
<br>
</div>
<div style="direction: ltr; font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">
We are pleased to announce the inaugural CIRS/SWB Webinar of 2025 titled "Gaussian Processes for Regression: Models, Algorithms, and Inference" by Dr. Tamara Broderick (MIT), on April 9, 2025, 12-1:30 PM ET.</div>
<div style="direction: ltr; font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">
<br>
</div>
<div style="direction: ltr; font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">
Our webinar series, sponsored jointly by the American Statistical Association’s Committee on International Relations in Statistics (CIRS) and by Statistics Without Borders (SWB), provides introductory lectures by experts on important topics of current interest
and is aimed at an international audience.</div>
<div style="direction: ltr; font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">
<br>
</div>
<div style="direction: ltr; font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">
More information is provided below. </div>
<div style="direction: ltr; font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">
<br>
</div>
<div style="direction: ltr; font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">
Gaussian Processes for Regression: Models, Algorithms, and Inference</div>
<div style="direction: ltr; font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">
<br>
</div>
<div style="direction: ltr; font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">
<b>Date/time: 12-1:30 pm EST, 9 April 2025</b></div>
<div style="direction: ltr; font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">
<b> Organized by: CIRS/SWB Webinar series</b></div>
<div style="direction: ltr; font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">
<b> Presenter: <a href="https://tamarabroderick.com/" id="OWA7203db7e-974e-2e56-5b57-b20f455c3d59" class="x_x_OWAAutoLink" title="https://tamarabroderick.com/" data-auth="NotApplicable">
Dr. Tamara Broderick</a></b></div>
<div style="direction: ltr; font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">
<b> Register<a href="https://amstat.zoom.us/webinar/register/WN_fDoijZTUT_OGXcAxv6sglg#/registration" id="OWA712c2044-be30-ec04-8d1e-b54371f3586a" class="x_x_OWAAutoLink" title="https://amstat.zoom.us/webinar/register/WN_fDoijZTUT_OGXcAxv6sglg#/registration" data-auth="NotApplicable"> here</a></b></div>
<div style="direction: ltr; font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">
<br>
</div>
<div style="direction: ltr; font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">
</div>
<div style="direction: ltr; font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">
Abstract: In regression tasks, we aim to use observed data to predict a continuous outcome as a function of a set of inputs. For instance, we might want to understand how ocean current (a velocity vector field) varies as a function of space and time given
GPS data from buoys---or how the accuracy of a machine learning algorithm varies as a function of its adjustable parameters given the results of some runs of the algorithm. It is common for the relationship between outputs and (continuous) inputs to be highly
nonlinear but smooth; for observations to be sparse, noisy, and unevenly spaced; and for uncertainty in our predictions to be of interest. We will discuss how Gaussian processes offer a useful and popular framework to address these concerns. We will explore
both benefits and pitfalls of Gaussian processes as commonly used in practice. Though we will review key facts, it will be helpful for audience members to have basic familiarity with (1) Bayesian data analysis and its goals and (2) both univariate and multivariate
Gaussian distributions.</div>
<div style="direction: ltr; font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">
<br>
</div>
<div style="direction: ltr; font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">
<br>
</div>
<div style="direction: ltr; font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">
We look forward to seeing you there!</div>
<div style="direction: ltr; font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">
<br>
</div>
<div style="direction: ltr; font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">
Best wishes,</div>
<div style="direction: ltr; font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">
Alex (for the organizing committee)</div>
<div style="direction: ltr; font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">
<br>
</div>
<div data-lt-sig-active="" class="x_x_elementToProof" id="x_x_Signature">
<div style="font-size: 10pt; color: rgb(102, 102, 102);">Alexandra M. Schmidt</div>
<div style="font-size: 10pt; color: rgb(102, 102, 102);">Professor - The University Chair</div>
<div><span style="font-size: 10pt; color: rgb(102, 102, 102);">McGill University</span><br>
<span style="font-size: 10pt;"><b><a href="http://alex-schmidt.research.mcgill.ca/" id="OWA496ee0ac-7c81-b843-5cb7-08299b9cbf44" class="x_x_OWAAutoLink" data-lt-sig="" data-linkindex="0" data-safelink="true" data-auth="NotApplicable">http://alex-schmidt.research.mcgill.ca/</a></b></span></div>
</div>
</div></blockquote></div></div></blockquote></body></html>