For centuries, mathematicians and, later, statisticians, have found natural research and
employment opportunities in the realm of insurance. By definition, insurance offers financial …

This open access book discusses the statistical modeling of insurance problems, a process
which comprises data collection, data analysis and statistical model building to forecast …

With the emergence of telematics car driving data, insurance companies have started to
boost classical actuarial regression models for claim frequency prediction with telematics car …

The present manuscript provides a basis in non-life insurance mathematics and statistics
which form a core subject of actuarial science. It discusses collective risk modeling …

In recent papers, Bonus-Malus Scales (BMS) estimated using data have been considered as
an alternative to longitudinal data and hierarchical data approaches to model the …

How to consider the a priori risks in experience-rating models has been questioned in the
actuarial community for a long time. Classic past-claim-rating models, such as the Buhlmann …

Economic shocks, high inflation, longevity, and new emerging technologies make the long-
term health care insurance challenging for insurers. To overcome this problem, an indexing …

This chapter discusses state-of-the-art statistical modeling in insurance and actuarial
science, which is the generalized linear model (GLM). We discuss GLMs in the light of claim …

A Bónusz-málusz (BM) rendszer (BMR) egy kockázatkezelési módszer, amelyet leginkább
felelősségbiztosításoknál alkalmaznak. A legismertebb alkalmazása a Kötelező gépjármű …

These notes are part of the syllabus of statistical modeling in non-life insurance. Subsequent
to the introductory classes on'Non-Life Insurance: Mathematics & Statistics' and'Data …