Revision: 2011We exhibit conditions under which the flow of marginal distributions of a discontinuous semimartingale $\xi$ can be matched by a Markov process, whose infinitesimal generator is expressed in terms of the local characteristics of $\xi$. Our construction applies to a large class of semimartingales, including smooth functions of a Markov process. We use this result to derive a partial integro-differential equation for the one-dimensional distributions of a semimartingale, extending the Kolmogorov forward equation to a non-Markovian setting
We construct a family of martingales with Gaussian marginal distributions. We give a weak constructi...
As stochastic processes are not uniquely defined by their marginal distributions, it is of interest ...
International audienceIn the reliability theory, the availability of a component, characterized by n...
We give conditions under which the flow of marginal distributions of a discontinuous semimartingale ...
This PhD thesis studies various mathematical aspects of problems related to the Markovian projection...
This PhD thesis studies various mathematical aspects of problems related to the Markovian projection...
We show that the marginal distribution of a semimartingale can be matched by a Markov process. This ...
In the development of stochastic integration and the theory of semimartingales, Markov processes hav...
We study the short-time asymptotics of conditional expectations of smooth and non-smooth functions o...
In this article we prove under suitable assumptions that the marginals of any solution to a relaxed ...
AbstractGiven a semimartingale one can construct a system (λ, A, B, C) where λ is the distribution o...
We deal with a model equation for stochastic processes that results from the action of a semi-Markov...
We deal with a model equation for stochastic processes that results from the action of a semi-Markov...
In this paper we intend to give a comprehensive approach of functional inequalities for diffusion pr...
I give a summary of the basic contributions of this study. We construct the maximum likelihood estim...
We construct a family of martingales with Gaussian marginal distributions. We give a weak constructi...
As stochastic processes are not uniquely defined by their marginal distributions, it is of interest ...
International audienceIn the reliability theory, the availability of a component, characterized by n...
We give conditions under which the flow of marginal distributions of a discontinuous semimartingale ...
This PhD thesis studies various mathematical aspects of problems related to the Markovian projection...
This PhD thesis studies various mathematical aspects of problems related to the Markovian projection...
We show that the marginal distribution of a semimartingale can be matched by a Markov process. This ...
In the development of stochastic integration and the theory of semimartingales, Markov processes hav...
We study the short-time asymptotics of conditional expectations of smooth and non-smooth functions o...
In this article we prove under suitable assumptions that the marginals of any solution to a relaxed ...
AbstractGiven a semimartingale one can construct a system (λ, A, B, C) where λ is the distribution o...
We deal with a model equation for stochastic processes that results from the action of a semi-Markov...
We deal with a model equation for stochastic processes that results from the action of a semi-Markov...
In this paper we intend to give a comprehensive approach of functional inequalities for diffusion pr...
I give a summary of the basic contributions of this study. We construct the maximum likelihood estim...
We construct a family of martingales with Gaussian marginal distributions. We give a weak constructi...
As stochastic processes are not uniquely defined by their marginal distributions, it is of interest ...
International audienceIn the reliability theory, the availability of a component, characterized by n...