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ON STABILITY OF DIFFUSIONS WITH COMPOUND-POISSON JUMPS
Author(s) -
H. Masuda
Publication year - 2008
Publication title -
bulletin of informatics and cybernetics
Language(s) - English
Resource type - Journals
eISSN - 2435-743X
pISSN - 0286-522X
DOI - 10.5109/18994
Subject(s) - poisson distribution , stability (learning theory) , mathematics , statistical physics , compound poisson process , statistics , physics , computer science , poisson process , machine learning
We give fairly easy conditions under which a multidimensional diffusion with jumps of compound-Poisson type possess several global-stability properties: (exponential) ergodicity, (exponential) β-mixing property, and also boundedness of moments. These are important to statistical inference under long-time asymptotics. The underlying technique used in this article is based on Masuda (2007), but we here utilize an explicit “T-chain”, which enables us to include almost arbitrary finite-jump parts under nondegeneracy of the diffusion part without reference to topological continuity of the original transition semigroup.

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