The meaning and the features of Generalized Poisson–Kac processes are analyzed in the light of their regularity properties in order to show how the finite propagation velocity, characterizing these models, permits to eliminate the occurrence of singularities in transport models. Apart from a brief overview on their spectral properties, on the regularization of boundary-value problems, and on their origin from simple Lattice Random Walk models, the article focuses on their application in the study of stochastic partial di erential equations, and how their use permits to eliminate the divergence of low-order moments that characterizes the corresponding field equations in the presence of spatially δ-correlated stochastic perturbations, and to ...
We compute general smoothing dynamics for partially observed dynamical systems with Poisson observat...
summary:$U$-statistics of spatial point processes given by a density with respect to a Poisson proce...
This article investigates the spectral structure of the evolution operators associated with the stat...
We analyze some basic issues associated with generalized Poisson– Kac (GPK) stochastic processes, s...
This article introduces the notion of generalized Poisson–Kac (GPK) processes which generalize the c...
The concept of stochastic regularity in lattice models corresponds to the physical constraint that t...
The concept of stochastic regularity in lattice models corresponds to the physical constraint that t...
This third part extends the theory of Generalized Poisson–Kac (GPK) processes to nonlinear stochast...
We introduce a new class of stochastic processes in ℝn, referred to as generalized Poisson-Kac (GPK)...
We introduce a new notion of “regularity structure” that provides an algebraic framework allowing to...
The theory of sparse stochastic processes offers a broad class of statistical models to study signal...
We prove Itô's formula for the flow of measures associated with a jump process defined by a drift, a...
This thesis is concerned with a solution theory for quasilinear singular stochastic partial differe...
In this second part, we analyze the dissipation properties of generalized Poisson–Kac (GPK) process...
The formulation of transport models in polymeric systems starting from the theory of stochastic proc...
We compute general smoothing dynamics for partially observed dynamical systems with Poisson observat...
summary:$U$-statistics of spatial point processes given by a density with respect to a Poisson proce...
This article investigates the spectral structure of the evolution operators associated with the stat...
We analyze some basic issues associated with generalized Poisson– Kac (GPK) stochastic processes, s...
This article introduces the notion of generalized Poisson–Kac (GPK) processes which generalize the c...
The concept of stochastic regularity in lattice models corresponds to the physical constraint that t...
The concept of stochastic regularity in lattice models corresponds to the physical constraint that t...
This third part extends the theory of Generalized Poisson–Kac (GPK) processes to nonlinear stochast...
We introduce a new class of stochastic processes in ℝn, referred to as generalized Poisson-Kac (GPK)...
We introduce a new notion of “regularity structure” that provides an algebraic framework allowing to...
The theory of sparse stochastic processes offers a broad class of statistical models to study signal...
We prove Itô's formula for the flow of measures associated with a jump process defined by a drift, a...
This thesis is concerned with a solution theory for quasilinear singular stochastic partial differe...
In this second part, we analyze the dissipation properties of generalized Poisson–Kac (GPK) process...
The formulation of transport models in polymeric systems starting from the theory of stochastic proc...
We compute general smoothing dynamics for partially observed dynamical systems with Poisson observat...
summary:$U$-statistics of spatial point processes given by a density with respect to a Poisson proce...
This article investigates the spectral structure of the evolution operators associated with the stat...