Document Type
Article
Abstract
Singular control for multidimensional Gaussian-Poisson processes with a long-run (or ergodic) and a discounted criteria are discussed. The dynamic programming yields the corresponding Hamilton-Jacobi-Bellman equations, which are discussed. Full details on the proofs and further extensions are left for coming works.
Disciplines
Numerical Analysis and Computation | Probability
Recommended Citation
J.-L. Menaldi and M. Robin. Singular ergodic control for multidimensional Gaussian-Poisson processes. Stochastics, 85:682-691, 2013 . doi: 10.1080/17442508.2013.795569
Comments
This is an Accepted Manuscript of an article published by Taylor & Francis in Stochastics: An International Journal of Probability and Stochastic Processes on 30 May 2013, available online: http://www.tandfonline.com/10.1080/17442508.2013.795569.