Dear Applied Statistics Community,<br><br>Please join us this Wednesday when Jeff Gill--Department of Political Science and Director Center for Applied Statistics, Washington University St Louis-- will present &quot;Circular Data in Political Science and How to Handle It&quot;, work that is joint with Dominik Hangartner.&nbsp; Jeff and Dominik provided the following abstract <br>
<br>
There has been no attention to circular (purely cyclical) data in political science research. We show<br>
that such data exists and is generally mishandled by models that do not take into account the inherently<br>
recycling nature of some phenomenon. Clock and calendar effects are the obvious cases, but directional<br>
data exists as well. We develop a modeling framework based on the von Mises distribution and apply it to<br>
two datasets: casualties in the second Iraq war and suicides in Switzerland. Results clearly demonstrate<br>
the importance of circular regression models to handle periodic data.<br><br>Jeff and Dominik also provided a preliminary draft of their paper, which is available <a href="http://people.fas.harvard.edu/%7Ejgrimmer/gill_hangartner_IQSS.pdf">here</a><br>
<br>The applied statistics workshop meets at 12 noon in room N-354 of CGIS-Knafel (1737 Cambridge St), with a light lunch served.&nbsp; The presentations begin around 1215 and conclude at about 130 pm.&nbsp; <br><br>Please send me any questions or comments<br>
<br>Cheers<br>Justin<br>