On Some Applications of LSIP to Probability and Statistics

Abstract The duality results and the computational tools developed within the theory of linear semi-infinite optimization can be successfully applied to several problems in probability and statistics, including a subjective view on probability theory maintained by de Finetti, a constrained maximum likelihood estimation problem, and some relevant topics in risk theory. This work is intended as an addendum to the review of LSIP applications contained in [5].