AbstractThe correspondence between Gaussian stochastic processes with values in a Banach space E and cylindrical processes which are related to them is studied. It is shown that the linear prediction of an E-valued Gaussian process is an E-valued random variable as well as the spectral measure of an E-valued Gaussian stationary process is a Gaussian random measure
AbstractThe variational representation of the conditional expectation X̂ of a Gaussian signal X give...
International audienceThe study of Gaussian measures on Banach spaces is of active interest both in ...
International audienceThe study of Gaussian measures on Banach spaces is of active interest both in ...
AbstractThe correspondence between Gaussian stochastic processes with values in a Banach space E and...
For Q the variance of some centred Gaussian random vector in a separable Banach space it is shown th...
Stochastic Analysis for Gaussian Random Processes and Fields: With Applications presents Hilbert spa...
AbstractThis paper contains the following three types of results: First, a 1-1 correspondence is est...
Let H be a separable real Hilbert space and let E be a separable real Banach space. In this paper we...
AbstractGaussian measures on some non-Banach spaces of measurable functions are investigated. The ma...
AbstractLet ξt, t ϵ R, be a Markovian, measurable, strictly stationary process taking values in a me...
Let H be a separable real Hilbert space and let E be a real Banach space. In this paper we construct...
Linear prediction theory for multivariate, one- dimensional, stationary, stochastic processes with f...
The study of Gaussian measures on Banach spaces is of active interest both in pure and applied mathe...
AbstractWe give two characterisations of the finite Markov property for Gaussian processes indexed b...
We give two characterisations of the finite Markov property for Gaussian processes indexed by , base...
AbstractThe variational representation of the conditional expectation X̂ of a Gaussian signal X give...
International audienceThe study of Gaussian measures on Banach spaces is of active interest both in ...
International audienceThe study of Gaussian measures on Banach spaces is of active interest both in ...
AbstractThe correspondence between Gaussian stochastic processes with values in a Banach space E and...
For Q the variance of some centred Gaussian random vector in a separable Banach space it is shown th...
Stochastic Analysis for Gaussian Random Processes and Fields: With Applications presents Hilbert spa...
AbstractThis paper contains the following three types of results: First, a 1-1 correspondence is est...
Let H be a separable real Hilbert space and let E be a separable real Banach space. In this paper we...
AbstractGaussian measures on some non-Banach spaces of measurable functions are investigated. The ma...
AbstractLet ξt, t ϵ R, be a Markovian, measurable, strictly stationary process taking values in a me...
Let H be a separable real Hilbert space and let E be a real Banach space. In this paper we construct...
Linear prediction theory for multivariate, one- dimensional, stationary, stochastic processes with f...
The study of Gaussian measures on Banach spaces is of active interest both in pure and applied mathe...
AbstractWe give two characterisations of the finite Markov property for Gaussian processes indexed b...
We give two characterisations of the finite Markov property for Gaussian processes indexed by , base...
AbstractThe variational representation of the conditional expectation X̂ of a Gaussian signal X give...
International audienceThe study of Gaussian measures on Banach spaces is of active interest both in ...
International audienceThe study of Gaussian measures on Banach spaces is of active interest both in ...