Resource title

Insurance: an R-Program to Model Insurance Data

Resource image

image for OpenScout resource :: Insurance: an R-Program to Model Insurance Data

Resource description

Data sets from car insurance companies often have a high-dimensional complex dependency structure. The use of classical statistical methods such as generalized linear models or Tweedie?s compound Poisson model can yield problems in this case. Christmann (2004) proposed a general approach to model the pure premium by exploiting characteristic features of such data sets. In this paper we describe a program to use this approach based on a combination of multinomial logistic regression and [epsilon]-support vector regression from modern statistical machine learning.

Resource author

Marcos Marin-Galiano, Andreas Christmann

Resource publisher

Resource publish date

Resource language

eng

Resource content type

text/html

Resource resource URL

http://hdl.handle.net/10419/22562

Resource license

Adapt according to the presented license agreement and reference the original author.