Abstract

Mortality models often have inbuilt identification issues challenging the statistician. The statistician can choose to work with well-defined freely varying parameters, derived as maximal invariants in this paper, or with ad hoc identified parameters which at first glance seem more intuitive, but which can introduce a number of unnecessary challenges. In this paper we describe the methodological advantages from using the maximal invariant parameterisation and we go through the extra methodological challenges a statistician has to deal with when insisting on working with ad hoc identifications. These challenges are broadly similar in frequentist and in Bayesian setups. We also go through a number of examples from the literature where ad hoc identifications have been preferred in the statistical analyses.

Publication Type:	Article
Subjects:	H Social Sciences > H Social Sciences (General) Q Science > QA Mathematics R Medicine > RA Public aspects of medicine
Departments:	Bayes Business School > Actuarial Science & Insurance

Preview

PDF - Published Version Available under License Creative Commons: Attribution-Noncommercial 3.0. Download (957kB) | Preview

Export

Downloads