Missing and Modified Data in Nonparametric Statistics

Vortrag von Prof. Dr. Sam Efromovich

Sprecher eingeladen von: Prof. Dr. Reinhard Furrer

Datum: 17.05.18  Zeit: 15.00 - 16.00  Raum: Y27H12

After a short introduction to topics in nonparametric curve estimation, covered in my new 2018 Chapman & Hall book with the same title as the talk, three specific problems will be considered. The first one is nonparametric regression with missing at random (MAR) responses. It will be explained that a complete case approach is optimal in this case. The second problem is a nonparametric regression with missing at random (MAR) predictors. It will be explained that in general a complete case approach is inconsistent for this type of missing and a special procedure is needed for efficient estimation. The last explored problem is devoted to survival analysis, specifically to efficient estimation of a hazard rate function for truncated and censored data