: We propose to study the sensitivity of the optimal filter to its initialization, by looking at the distance between two differently initialized filtering processes in terms of the ratio between two simple Feynman-Kac integrals in the product space. We illustrate, by considering two simple examples, how this approach may be employed to study the asymptotic decay rate, as the difference between the growth rates of the two integrals. We apply asymptotic methods, such as large deviations, to estimate these growth rates. The examples we consider are the linear case, where we recover known results, and a case where the drift term in the state process is nonlinear. In both cases, only the small noise regime and only one-dimensional diffusions ar...
The theory of nonlinear filtering concerns the optimal estimation of a Markov signal in noisy observ...
International audienceIt has recently been proved by J.M.C. Clark et al. that the relative entropy (...
International audienceIt has recently been proved by J.M.C. Clark et al. that the relative entropy (...
We propose a novel small time approximation for the solution to the Zakai equation from nonlinear fi...
In this article the Feynman-Kac formula is obtained for a Markov process (X t) whose transition prob...
We propose a novel small time approximation for the solution to the Zakai equation from nonlinear fi...
Herein, we consider direct Markov chain approximations to the Duncan-Mortensen-Zakai equations for n...
In this paper, we consider the filtering of diffusion processes observed in non-Gaussian noise, when...
In this paper we study a nonlinear filtering problem for a general Markovian partially observed syst...
In this paper we study a nonlinear filtering problem for a general Markovian partially observed syst...
In this paper we study a nonlinear filtering problem for a general Markovian partially observed syst...
In this paper we study a nonlinear filtering problem for a general Markovian partially observed syst...
We consider a family of processes (X[var epsilon], Y[var epsilon]) where X[var epsilon] = (X[var eps...
We consider the problem of optimal filtering of two dimensional diffusion process measured in a nois...
A nonlinear filtering problem with delays in the state and observation equations is considered. The ...
The theory of nonlinear filtering concerns the optimal estimation of a Markov signal in noisy observ...
International audienceIt has recently been proved by J.M.C. Clark et al. that the relative entropy (...
International audienceIt has recently been proved by J.M.C. Clark et al. that the relative entropy (...
We propose a novel small time approximation for the solution to the Zakai equation from nonlinear fi...
In this article the Feynman-Kac formula is obtained for a Markov process (X t) whose transition prob...
We propose a novel small time approximation for the solution to the Zakai equation from nonlinear fi...
Herein, we consider direct Markov chain approximations to the Duncan-Mortensen-Zakai equations for n...
In this paper, we consider the filtering of diffusion processes observed in non-Gaussian noise, when...
In this paper we study a nonlinear filtering problem for a general Markovian partially observed syst...
In this paper we study a nonlinear filtering problem for a general Markovian partially observed syst...
In this paper we study a nonlinear filtering problem for a general Markovian partially observed syst...
In this paper we study a nonlinear filtering problem for a general Markovian partially observed syst...
We consider a family of processes (X[var epsilon], Y[var epsilon]) where X[var epsilon] = (X[var eps...
We consider the problem of optimal filtering of two dimensional diffusion process measured in a nois...
A nonlinear filtering problem with delays in the state and observation equations is considered. The ...
The theory of nonlinear filtering concerns the optimal estimation of a Markov signal in noisy observ...
International audienceIt has recently been proved by J.M.C. Clark et al. that the relative entropy (...
International audienceIt has recently been proved by J.M.C. Clark et al. that the relative entropy (...