We dene a class of anticipating ows on Poisson space and compute its Radon-Nikodym derivative. This result is applied to statistical testing in an anticipating queuing problem. Key words: Hypothesis testing, Queuing theory, Skorokhod integral, Point processes. Mathematics Subject Classication (1991): 60K25, 62F03, 60H07, 60J75. 1 Introduction In the It^o construction of stochastic integration, adaptedness conditions are imposed on the integrand. In the anticipative case there exists several extensions of the stochastic integral. Among these extensions the ones that seems to be the most closely related to concrete situations are the pathwise Stratonovich and forward integral, cf. e.g. [17] and the references therein. However these integra...
Continuous-time random walks, or compound renewal processes, are pure-jump stochastic processes with...
Some simple approximate formulae for mathematical expectations of random nonlinear functionals are ...
The object of this thesis is a theory of stochastic integration, i.e., an inte- gration of a stochas...
AbstractWe extend the Skorohod integral, allowing integration with respect to Gaussian processes tha...
Abstract. We study Skorohod integral processes on Lévy spaces and we prove an equivalence between t...
We extend the Skorohod integral, allowing integration with respect to Gaussian processes that can be...
Probability TheoryInternational audienceLet $\tilde{N}_{t}$ be a standard compensated Poisson proces...
We define a Skorohod type anticipative stochastic integral that extends the Ito integral not only wi...
Considering Poisson random measures as the driving sources for stochastic (partial) differential equ...
International audienceWe construct the basis of a stochastic calculus for a new class of processes: ...
Stochastic Analysis for Gaussian Random Processes and Fields: With Applications presents Hilbert spa...
We construct the basis of a stochastic calculus for a new class of processes: filtered Poisson proce...
Preprint enviat per a la seva publicació en una revista científica: Stochastics and Stochastic Repor...
Exponential processes in the Ito theory of stochastic integration can be viewed in three aspects: mu...
AbstractAssuming that {(Un,Vn)} is a sequence of càdlàg processes converging in distribution to (U,V...
Continuous-time random walks, or compound renewal processes, are pure-jump stochastic processes with...
Some simple approximate formulae for mathematical expectations of random nonlinear functionals are ...
The object of this thesis is a theory of stochastic integration, i.e., an inte- gration of a stochas...
AbstractWe extend the Skorohod integral, allowing integration with respect to Gaussian processes tha...
Abstract. We study Skorohod integral processes on Lévy spaces and we prove an equivalence between t...
We extend the Skorohod integral, allowing integration with respect to Gaussian processes that can be...
Probability TheoryInternational audienceLet $\tilde{N}_{t}$ be a standard compensated Poisson proces...
We define a Skorohod type anticipative stochastic integral that extends the Ito integral not only wi...
Considering Poisson random measures as the driving sources for stochastic (partial) differential equ...
International audienceWe construct the basis of a stochastic calculus for a new class of processes: ...
Stochastic Analysis for Gaussian Random Processes and Fields: With Applications presents Hilbert spa...
We construct the basis of a stochastic calculus for a new class of processes: filtered Poisson proce...
Preprint enviat per a la seva publicació en una revista científica: Stochastics and Stochastic Repor...
Exponential processes in the Ito theory of stochastic integration can be viewed in three aspects: mu...
AbstractAssuming that {(Un,Vn)} is a sequence of càdlàg processes converging in distribution to (U,V...
Continuous-time random walks, or compound renewal processes, are pure-jump stochastic processes with...
Some simple approximate formulae for mathematical expectations of random nonlinear functionals are ...
The object of this thesis is a theory of stochastic integration, i.e., an inte- gration of a stochas...