<html><head><meta http-equiv="Content-Type" content="text/html; charset=us-ascii"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;" class=""><div class=""><span class="" style="font-size: 14px;">Theory Center Cake Seminar</span></div><div class=""><span class="" style="font-size: 14px;">Wednesday, April 4</span></div><div class=""><span class="" style="font-size: 14px;">2:00pm - CEBAF center, room F224</span></div><div class=""><span class="" style="font-size: 14px;"><br class=""></span></div><div class=""><span class="" style="font-size: 14px;">Wally Melnitchouk (JLab)</span></div><span class="" style="font-size: 14px;">PDF uncertainties. What is the meaning of this?</span><div class=""><span class="" style="font-size: 14px;"><br class=""></span></div><div class=""><span class="" style="font-size: 14px;">The link to attend remotely is available at <a href="https://www.jlab.org/div_dept/theory/seminars/2018-spring-cake-seminar.html" class="">https://www.jlab.org/div_dept/theory/seminars/2018-spring-cake-seminar.html</a> </span></div><div class=""><span class="" style="font-size: 14px;">Looking forward to seeing you tomorrow,</span></div><div class=""><span class="" style="font-size: 14px;"><br class=""></span></div><div class=""><span class="" style="font-size: 14px;"><span class="Apple-tab-span" style="white-space: pre;"> </span>Alessandro, Andrea, Bipasha</span></div><div class=""><span class="" style="font-size: 14px;"><br class=""></span></div><div class=""><span class="" style="font-size: 14px;">-------------------------------------------------</span></div><div class=""><span class="" style="font-size: 14px;">Abstract:</span></div><div class=""><span style="font-size: 14px;" class="">In view of the growing need for meaningful comparisons of observables<br class="">computed from different parametrizations of parton distribution<br class="">functions (PDFs), we discuss recent developments in the systematic<br class="">determination of PDF uncertainties. Ongoing work on the application of<br class="">Bayesian techniques and Monte Carlo methodologies to this problem will<br class="">be reviewed.</span></div></body></html>