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SUMMARY:Konstantinos Konstantinou (Chalmers University of Technology & Uni
 versity of Gothenburg)
DTSTART:20230309T121500Z
DTEND:20230309T130000Z
DTSTAMP:20260422T155153Z
UID:gbgstats/16
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/gbgstats/16/
 ">Global tests for quantile regression with applications in modeling distr
 ibutions.</a>\nby Konstantinos Konstantinou (Chalmers University of Techno
 logy & University of Gothenburg) as part of Gothenburg statistics seminar\
 n\nLecture held in MVL15.\n\nAbstract\nIn this talk\, I will give an intro
 duction to global tests for quantile regression\, i.e.\, statistical tests
  allowing for simultaneous inference of the quantile regression process\, 
 with graphical interpretation. The proposed global quantile regression tes
 ts can determine not only if there is a difference\, but it can also deter
 mine for which quantiles the difference is significant on the global signi
 ficance level. The case where the effect of a factor (e.g.\, a categorical
  factor giving the group) on the distribution functions is of interest but
  confounded with other factors affecting the distributions is studied. An 
 extensive simulation study is conducted to compare the global quantile reg
 ression tests with classical graphical tests based on the Kolmogorov-Smirn
 ov test statistic. This is a joint work with Tomáš Mrkvička\, Mari Myll
 ymäki and Mikko Kuronen.\n
LOCATION:https://researchseminars.org/talk/gbgstats/16/
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