We consider a filtering problem when the state process is a reflected Brownian motion Xt and the observation process is its local time Λs, for s ≤ t. For this model we derive an approximation scheme based on a suitable interpolation of the observation process Λt. The convergence of the approximating filter to the original one combined with an explicit con-struction of the approximating filter allows us to derive the explicit form of the original filter. The last result can be obtained also by means of the Azéma martingale
Abstract. We present here an alternative view of the continuous time filtering problem, namely the p...
Herein, we consider direct Markov chain approximations to the Duncan-Mortensen-Zakai equations for n...
International audienceWe consider the problem of estimating the state of a diffusion process, based ...
AbstractWe consider a filtering problem when the state process is a reflected Brownian motion Xt and...
We consider a filtering problem when the state process is a reflected Brownian motion X-t and the ob...
AbstractIn the filtering problem considered here, the state process is a continuous time random walk...
In the filtering problem considered here, the state process is a continuous time random walk and the...
In this paper we study approximation schemes for a nonlinear filtering problem of a partially observ...
In this paper we study approximation schemes for a nonlinear filtering problem of a partially observ...
We study the optional projection of a standard Brownian motion on the natural filtration of certain ...
AbstractIn this paper we study approximation schemes for a nonlinear filtering problem of a partiall...
We present a representation theorem for a filtering model with first-passage-type stopping time. The...
Through a regularization procedure, a few schemes for approximation of the local time of a large cla...
We construct a family of SDEs whose solutions select a reflected Brownian flow as well as a stochas...
Abstract. We study Brownian motion reflected on an “independent ” Brownian path. We prove results on...
Abstract. We present here an alternative view of the continuous time filtering problem, namely the p...
Herein, we consider direct Markov chain approximations to the Duncan-Mortensen-Zakai equations for n...
International audienceWe consider the problem of estimating the state of a diffusion process, based ...
AbstractWe consider a filtering problem when the state process is a reflected Brownian motion Xt and...
We consider a filtering problem when the state process is a reflected Brownian motion X-t and the ob...
AbstractIn the filtering problem considered here, the state process is a continuous time random walk...
In the filtering problem considered here, the state process is a continuous time random walk and the...
In this paper we study approximation schemes for a nonlinear filtering problem of a partially observ...
In this paper we study approximation schemes for a nonlinear filtering problem of a partially observ...
We study the optional projection of a standard Brownian motion on the natural filtration of certain ...
AbstractIn this paper we study approximation schemes for a nonlinear filtering problem of a partiall...
We present a representation theorem for a filtering model with first-passage-type stopping time. The...
Through a regularization procedure, a few schemes for approximation of the local time of a large cla...
We construct a family of SDEs whose solutions select a reflected Brownian flow as well as a stochas...
Abstract. We study Brownian motion reflected on an “independent ” Brownian path. We prove results on...
Abstract. We present here an alternative view of the continuous time filtering problem, namely the p...
Herein, we consider direct Markov chain approximations to the Duncan-Mortensen-Zakai equations for n...
International audienceWe consider the problem of estimating the state of a diffusion process, based ...