On approximation of functions satisfying defective renewal equations
C. Sang\"uesa

TL;DR
This paper develops a gamma-type operator approximation method for functions satisfying defective renewal equations, common in applied probability, analyzing conditions for optimal convergence and applying results to ruin probabilities with gamma mixtures.
Contribution
Introduces a gamma-type operator approximation for defective renewal functions using Laplace transforms, with convergence analysis and applications to risk models.
Findings
Established conditions for optimal uniform convergence
Derived approximation formulas using Laplace transforms
Applied methods to ruin probability with gamma claim mixtures
Abstract
Functions satisfying a defective renewal equation arise commonly in applied probability models. Usually these functions don't admit a explicit expression. In this work we consider to approximate them by means of a gamma-type operator given in terms of the Laplace transform of the initial function. We investigate which conditions on the initial parameters of the renewal equation give optimal order of uniform convergence in the approximation. We apply our results to ruin probability in the classical risk model, paying special attention to mixtures of gamma claim amounts.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
