Exact finite dimensional filters for certain exponential functionals of Gaussian state space processes
Vikram Krishnamurthy, Robert J. Elliott
Abstract
Vikram Krishnamurthy, Robert J. Elliott
Abstract
In this paper, we derive finite dimensional filters for certain exponential functionals of the state of a continuous-time linear Gaussian process. Apart from being of mathematical interest, these new filters have applications in the state reconstruction of doubly-stochastic autoregressive processes. We also derive similar filters for exponential functionals of the state of nonlinear Benes systems.
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In this paper, we derive finite dimensional filters for certain exponential functionals of the state of a continuous-time linear Gaussian process. Apart from being of mathematical interest, these new filters have applications in the state reconstruction of doubly-stochastic autoregressive processes. We also derive similar filters for exponential functionals of the state of nonlinear Benes systems.
Key concepts: Exponential function, Gaussian, State space, Autoregressive model, Gaussian process, State (computer science), Mathematics, Applied mathematics