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Pathwise stochastic control with applications to robust filtering

Abstract:
We study the problem of pathwise stochastic optimal control, where the optimization is performed for each fixed realisation of the driving noise, by phrasing the problem in terms of the optimal control of rough differential equations. We investigate the degeneracy phenomenon induced by directly controlling the coefficient of the noise term, and propose a simple procedure to resolve this degeneracy whilst retaining dynamic programming. As an application, we use pathwise stochastic control in the context of stochastic filtering to construct filters which are robust to parameter uncertainty, demonstrating an original application of rough path theory to statistics.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1214/19-AAP1558

Authors


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Institution:
University of Oxford
Division:
MPLS
Department:
Mathematical Institute
Role:
Author
ORCID:
0000-0003-0539-6414


Publisher:
Institute of Mathematical Statistics
Journal:
Annals of Applied Probability More from this journal
Volume:
30
Issue:
5
Pages:
2274-2310
Publication date:
2020-09-15
Acceptance date:
2019-12-20
DOI:
ISSN:
1050-5164


Language:
English
Keywords:
Pubs id:
pubs:974782
UUID:
uuid:4f4d831e-1d9e-4e44-91d7-2e985ac0ae25
Local pid:
pubs:974782
Source identifiers:
974782
Deposit date:
2019-12-20

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