Weak Feller property of non-linear filters

Title Weak Feller property of non-linear filters
Author Kara, A. D., Saldı, Naci, Yüksel, S.
Publication Date: 2019-12
Publication Place - Elsevier
Subject Non-linear filtering, Partially observed stochastic control
Type Periodical
Language English
Digital Yes
Manuscript No
Library: Özyeğin University
Library Asset ID 0167-6911
Record ID cfac1481-d3a1-43fa-9e7e-c6527b1e69e2
Library Location Natural and Mathematical Sciences
Date 2019-12
Notes Natural Sciences and Engineering Research Council of Canada
Sample Text Weak Feller property of controlled and control-free Markov chains leads to many desirable properties. In control-free setups this leads to the existence of invariant probability measures for compact spaces and applicability of numerical approximation methods. For controlled setups, this leads to existence and approximation results for optimal control policies. We know from stochastic control theory that partially observed systems can be converted to fully observed systems by replacing the original state space with a probability measure-valued state space, with the corresponding kernel acting on probability measures known as the non-linear filter process. Establishing sufficient conditions for the weak Feller property for such processes is a significant problem, studied under various assumptions and setups in the literature. In this paper, we prove the weak Feller property of the non-linear filter process (i) first under weak continuity of the transition probability of controlled Markov chain and total variation continuity of its observation channel, and then, (ii) under total variation continuity of the transition probability of controlled Markov chain. The former result (i) has first appeared in Feinberg et al. (2016). Here, we present a concise and easy to follow alternative proof for this existing result. The latter result (ii) establishes weak Feller property of non-linear filter process under conditions which have not been previously reported in the literature.
DOI 10.1016/j.sysconle.2019.104512
Cilt 134
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Weak Feller property of non-linear filters

Author Kara, A. D., Saldı, Naci, Yüksel, S.
Publication Date 2019-12
Publication Place - Elsevier
Subject Non-linear filtering, Partially observed stochastic control
Type Periodical
Language English
Digital Yes
Manuscript No
Library Özyeğin University
Library Asset ID 0167-6911
Record ID cfac1481-d3a1-43fa-9e7e-c6527b1e69e2
Library Location Natural and Mathematical Sciences
Date 2019-12
Notes Natural Sciences and Engineering Research Council of Canada
Sample Text Weak Feller property of controlled and control-free Markov chains leads to many desirable properties. In control-free setups this leads to the existence of invariant probability measures for compact spaces and applicability of numerical approximation methods. For controlled setups, this leads to existence and approximation results for optimal control policies. We know from stochastic control theory that partially observed systems can be converted to fully observed systems by replacing the original state space with a probability measure-valued state space, with the corresponding kernel acting on probability measures known as the non-linear filter process. Establishing sufficient conditions for the weak Feller property for such processes is a significant problem, studied under various assumptions and setups in the literature. In this paper, we prove the weak Feller property of the non-linear filter process (i) first under weak continuity of the transition probability of controlled Markov chain and total variation continuity of its observation channel, and then, (ii) under total variation continuity of the transition probability of controlled Markov chain. The former result (i) has first appeared in Feinberg et al. (2016). Here, we present a concise and easy to follow alternative proof for this existing result. The latter result (ii) establishes weak Feller property of non-linear filter process under conditions which have not been previously reported in the literature.
DOI 10.1016/j.sysconle.2019.104512
Cilt 134
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