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Musielak-Orlicz spaces and prediction problems

Kazimierz Urbanik (2004)

Banach Center Publications

By a harmonizable sequence of random variables we mean the sequence of Fourier coefficients of a random measure M: X ( M ) = 0 1 e 2 π n i s M ( d s ) (n = 0,±1,...) The paper deals with prediction problems for sequences Xₙ(M) for isotropic and atomless random measures M. The crucial result asserts that the space of all complex-valued M-integrable functions on the unit interval is a Musielak-Orlicz space. Hence it follows that the problem for Xₙ(M) (n = 0,±1,...) to be deterministic is in fact an extremal problem of Szegö’s type...

Nonlinear filtering for observations on a random vector field along a random path. Application to atmospheric turbulent velocities

Christophe Baehr (2010)

ESAIM: Mathematical Modelling and Numerical Analysis

To filter perturbed local measurements on a random medium, a dynamic model jointly with an observation transfer equation are needed. Some media given by PDE could have a local probabilistic representation by a Lagrangian stochastic process with mean-field interactions. In this case, we define the acquisition process of locally homogeneous medium along a random path by a Lagrangian Markov process conditioned to be in a domain following the path and conditioned to the observations. The nonlinear...

On randomized stopping times.

Concepción Arenas Solá (1990)

Trabajos de Estadística

In this note we give a proof of the fact that the extremal elements of the set of randomized stopping times are exactly the stopping times.

On the conditional intensity of a random measure

Pierre Jacob, Paulo Eduardo Oliveira (1994)

Commentationes Mathematicae Universitatis Carolinae

We prove the existence of the conditional intensity of a random measure that is absolutely continuous with respect to its mean; when there exists an L p -intensity, p > 1 , the conditional intensity is obtained at the same time almost surely and in the mean.

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