Likelihood functional for stochastic linear time-delayed systems involve Itô integrals with respect to the observed data. Since the Wiener process appearing in the standard observation process model for such systems is not realizable and the physically observed process is smooth, one needs to study approximation of such integrals by means of a smooth process; e.g., a band-limited process with no frequency components outside a finite, although large, band. This approximation is studied in the present paper
Abstract We obtain weak rates for approximation of an integral functional of a Markov process by int...
This paper considers large sample approximations to the covariances of a nonstationary fractionally ...
We study an approximation scheme for a nonlinear filtering problem when the state process X is the s...
Likelihood functional for stochastic linear time-delayed systems involve Itô integrals with respect ...
In the theory of stochastic differential equations, it is commonly assumed that the forcing function...
SIGLETIB: RN 4020 (704) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische Informationsbi...
In this paper for real Gaussian stochastic processes including Brownian bridge the approximate formu...
This technical note focuses on optimal filtering for Itô stochastic continuous-time systems with mul...
AbstractWe study the simulation of stochastic processes defined as stochastic integrals with respect...
Cylindrical Wiener processes in real separable Banach spaces are defined, and an approximation theor...
Averaging procedure; impulse dynamical systems; Markov systems; weak convergence The paper proposes...
The stochastic approximation procedure with series of delayed observations is investigated. The proc...
This paper considers the asymptotic distribution of the covariance of a nonstationary frac-tionally ...
We develop a general theory for stochastic integrals of generalized stochastic processes X(t), depen...
In this thesis, discrete approximation schemes for a class of stochastic differential equations, def...
Abstract We obtain weak rates for approximation of an integral functional of a Markov process by int...
This paper considers large sample approximations to the covariances of a nonstationary fractionally ...
We study an approximation scheme for a nonlinear filtering problem when the state process X is the s...
Likelihood functional for stochastic linear time-delayed systems involve Itô integrals with respect ...
In the theory of stochastic differential equations, it is commonly assumed that the forcing function...
SIGLETIB: RN 4020 (704) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische Informationsbi...
In this paper for real Gaussian stochastic processes including Brownian bridge the approximate formu...
This technical note focuses on optimal filtering for Itô stochastic continuous-time systems with mul...
AbstractWe study the simulation of stochastic processes defined as stochastic integrals with respect...
Cylindrical Wiener processes in real separable Banach spaces are defined, and an approximation theor...
Averaging procedure; impulse dynamical systems; Markov systems; weak convergence The paper proposes...
The stochastic approximation procedure with series of delayed observations is investigated. The proc...
This paper considers the asymptotic distribution of the covariance of a nonstationary frac-tionally ...
We develop a general theory for stochastic integrals of generalized stochastic processes X(t), depen...
In this thesis, discrete approximation schemes for a class of stochastic differential equations, def...
Abstract We obtain weak rates for approximation of an integral functional of a Markov process by int...
This paper considers large sample approximations to the covariances of a nonstationary fractionally ...
We study an approximation scheme for a nonlinear filtering problem when the state process X is the s...