This article presents several actuarial applications of categorical embedding in the context of
non-life insurance risk classification. In non-life insurance, many rating factors are naturally …

This paper is concerned with introducing a family of multivariate mixed Negative Binomial
regression models in the context of a posteriori ratemaking. The multivariate mixed Negative …

This article presents the Poisson-Inverse Gamma regression model with varying dispersion
for approximating heavy-tailed and overdispersed claim counts. Our main contribution is that …

The two-parameter classical Weibull distribution is commonly implemented to cater for the
product's reliability, model the failure rates, analyze lifetime phenomena, etc. In this work, we …

In this paper, as opposed to the usual assumption of independence, we propose a credibility
model in which the (unobservable) risk profiles of the claim frequency and the claim severity …

The bonus-malus system (BMS) is one of the most widely used tools in merit-rating
automobile insurance, with the primary goal of ensuring that fair premiums are paid by all …

We analyse the ruin probabilities for a renewal insurance risk process with inter-arrival times
depending on the claims that arrive within a fixed (past) time window. This dependence …

Classical compound Poisson risk models consider the premium rate to be constant. By
adjusting the premium rate to the claims history, one can emulate a Bonus–Malus system …

The traditional automobile insurance bonus-malus system (BMS) merit-rating depends on
the number of claims. An insured individual who makes a small severity claim is penalized …

This paper is concerned with presenting the Exponential-Lognormal (ELN) regression
model as a competitive alternative to the Pareto, or Exponential-Inverse Gamma, regression …