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SUMMARY:Isotonic distributional regression
DTSTART:20230922T151500
DTEND:20230922T170000
DTSTAMP:20260503T192140Z
UID:c123835934a9eb89ad98e21b217113410ba2ac0fca9aaa0a1111044d
CATEGORIES:Conferences - Seminars
DESCRIPTION:Johanna Ziegel\, Universität Bern\nIsotonic distributional re
 gression (IDR) is a nonparametric distributional regression approach under
  a monotonicity constraint. It has found application as a generic method f
 or uncertainty quantification\, in statistical postprocessing of weather f
 orecasts\, and it is an integral part of distributional single index model
 s. IDR has favorable calibration and optimality properties in finite sampl
 es.\nFurthermore\, it has an interesting population counterpart called iso
 tonic conditional laws that generalize conditional distributions with resp
 ect to σ-algebras to conditional distributions with respect to σ-latti
 ces. In this talk\, an overview of the theory and some applications of IDR
  are presented.\n 
LOCATION:MA A3 31 https://plan.epfl.ch/?room==MA%20A3%2031
STATUS:CONFIRMED
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