"uuid","repository link","title","author","contributor","publication year","abstract","subject topic","language","publication type","publisher","isbn","issn","patent","patent status","bibliographic note","access restriction","embargo date","faculty","department","research group","programme","project","coordinates"
"uuid:5a111157-1a92-4176-9c8e-0b848feb7c30","http://resolver.tudelft.nl/uuid:5a111157-1a92-4176-9c8e-0b848feb7c30","The choices of weights in the iterative convex minorant algorithm","Smalbil, P.J.","Jongbloed, G. (mentor)","2015","In statistics one often encounters the problem of estimating a function based on a given dataset. Sometimes shape properties such as monotonicity of the function are known. This property can be used in a non-parametric regression model. The iterative convex minorant(ICM) algorithm can be used to compute an estimate of a convex regression function. In the ICM algorithm positive weights can be chosen arbitrarily. In this thesis we describe the (solution of the) isotonic regression problem, explain the ICM algorithm, describe the convex regression problem and present a simulation study to assess the effect of the choice of weights.","statistics; convex regression; non-parametric regression; iterative convex minorant algorithm","en","bachelor thesis","","","","","","","","","Electrical Engineering, Mathematics and Computer Science","Mathematics","","Statistics","",""