In risk analysis, a global fit that appropriately captures the body and the tail of the distribution of losses is essential. Modeling the whole range of the losses using a standard distribution is usually very hard and often impossible due to the specific characteristics of the body and the tail...

Life insurers, pension funds, health care providers and social security institutions face increasing expenses due to continuing improvements of mortality rates. The actuarial and demographic literature has introduced a myriad of (deterministic and stochastic) models to forecast mortality rates...

In this paper, the individual claim reserving model proposed by Pigeon et al. (2013) is extended to include paid and incurred data. Analytic expressions are derived for the expected ultimate losses, given observed development patterns. The usefulness of this new model is illustrated using a...

Most mortality models proposed in recent literature rely on the standard ARIMA-framework (in particular: a random walk with drift) to project mortality rates. As a result the projections are highly sensitive to the calibration period. We apply a modelling strategy for the time-dependent...

In this paper we present a detailed outline of the posterior distributions for the LL model, as described by Antonio et al. (2015). Moreover, we illustrate the convergence of the Markov Chain Monte Carlo ([MCMC]) updating scheme used by Antonio et al. (2015).The paper "Bayesian Poisson...