Nonlife Ratemaking and Risk Management with Bayesian Additive Models for Location, Scale and Shape
By N. Klein, Michel Denuit, Stefan Lang, Thomas Kneib. 2013
59 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/dcb441f77ef0e62a1b7dc4d3da1ba673077d33ea
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- N. Klein
- Thomas Kneib
- Stefan Lang
- Alexander Sohn
- Simon N. Wood
- Ludwig Fahrmeir
- Andreas Brezger
- Andrea Hennerfeind
Citations in the corpus
- Bayesian structured additive distributional regression with an application to regional income inequality in Germany (2015, methodology): “For count data distributional regression models, the performance of the DIC was positively evaluated in Klein et al. (2014b) where several misspecified models have been compared to the true model in terms of the DIC.”
- Bayesian Structured Additive Distributional Regression (2013, background): “Mixed Discrete-Continuous Distributions In many applications, e.g. insurances [Klein et al., 2013a, Heller et al., 2006] or weather forecasts [Gneiting and Ranjan, 2011], distributions with point masses at zero are of great interest.”