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Query: faculty: "FEB" and publication year: "2012"

AuthorsK. Antonio, Y. Zhang
TitleMixed models for predictive modeling in actuarial science
PublisherKU Leuven
PlaceLeuven
Year2012
Pages43
Title seriesAFI Research Report
Series numberAFI_1376
FacultyFaculty of Economics and Business
Institute/dept.FEB: Research Institute in Economics and Econometrics Amsterdam (RESAM)
AbstractWe start with a general discussion of mixed (also called multilevel) models and continue with illustrating specific (actuarial) applications of this type of models. Technical details on (linear, generalized, non–linear) mixed models follow: model assumptions, specifications, estimation techniques and methods of inference. Detailed links with useful R packages and SAS procedures are included. Illustrations in this Chapter illustrate the frequentist as well as Bayesian point of view.
Document typeReport
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