Let (Pt) be a right borel semigroup and let (St) the right inverse of a continuous additive functional (Bt). Let ( ) t R t Y ∈ be a right stationary process with random birth and death, Markov with semi group (Pt) under the Kuznetsov measure Q associated to an excessive measure. We define, under the assumption that the characteristic measure { } ( ) 1 B 0 Yt υ Q I B dt ∈. = ∫ of (Bt) is purely excessive for the semigroup (Ps), an additive functional for ( ) t R t Y ∈ in terms of (Bt) and we study the laws of excursions associated to the regenerative set which consists in times of discontinuity of the right inverse (Ut) of this additive functional. More precisely, if we note by ( ) t Φ the process Ut Y ⎛ ⎞ ⎜ ⎟ ⎜ ⎟ ⎝ ⎠ and by H the σ - algebr...
AbstractSuppose that α∈(0,2) and that X is an α-stable-like process on Rd. Let F be a function on Rd...
For Markov processes in weak duality, we study time changes, decompositions of Revuz measure, and po...
Let X be a Borel right Markov process, let m be an excessive measure for X, and let ...
Let B be a continuous additive functional for a standard process (Xt)t∈R+ and let (Yt)t∈R be a stati...
We give necessary and sufficient conditions in order that exponentials of additive functionals of Ma...
We consider a semi-Markov additive process $A(\cdot)$, i.e., a Markov additive process for which th...
1.1. "in the paper [9 the following problem was considered. Given a contraction semigroup Tt on...
AbstractLet ϕ:R+×Ω×M→Ω×M be a measurable random dynamical systems on the compact metric space M over...
A notion of convergence of excursion measures is introduced. It is proved that convergence of excurs...
A general functional inequality is introduced to describe various decays of semi-groups. Our main re...
A careful and accessible exposition of functional analytic methods in stochastic analysis is provide...
A Markov Additive Process is a bi-variate Markov process $(\xi,J)=\big((\xi_t,J_t),t\geq0\big)$ whic...
We establish a version of the maximal inequality for multiparameter stochastic processes with indepe...
We prove Itô's formula for the flow of measures associated with a jump process defined by a drift, a...
AbstractWe give necessary and sufficient conditions in order that exponentials of additive functiona...
AbstractSuppose that α∈(0,2) and that X is an α-stable-like process on Rd. Let F be a function on Rd...
For Markov processes in weak duality, we study time changes, decompositions of Revuz measure, and po...
Let X be a Borel right Markov process, let m be an excessive measure for X, and let ...
Let B be a continuous additive functional for a standard process (Xt)t∈R+ and let (Yt)t∈R be a stati...
We give necessary and sufficient conditions in order that exponentials of additive functionals of Ma...
We consider a semi-Markov additive process $A(\cdot)$, i.e., a Markov additive process for which th...
1.1. "in the paper [9 the following problem was considered. Given a contraction semigroup Tt on...
AbstractLet ϕ:R+×Ω×M→Ω×M be a measurable random dynamical systems on the compact metric space M over...
A notion of convergence of excursion measures is introduced. It is proved that convergence of excurs...
A general functional inequality is introduced to describe various decays of semi-groups. Our main re...
A careful and accessible exposition of functional analytic methods in stochastic analysis is provide...
A Markov Additive Process is a bi-variate Markov process $(\xi,J)=\big((\xi_t,J_t),t\geq0\big)$ whic...
We establish a version of the maximal inequality for multiparameter stochastic processes with indepe...
We prove Itô's formula for the flow of measures associated with a jump process defined by a drift, a...
AbstractWe give necessary and sufficient conditions in order that exponentials of additive functiona...
AbstractSuppose that α∈(0,2) and that X is an α-stable-like process on Rd. Let F be a function on Rd...
For Markov processes in weak duality, we study time changes, decompositions of Revuz measure, and po...
Let X be a Borel right Markov process, let m be an excessive measure for X, and let ...