AbstractThe conditional Feynman–Kac functional is used to derive the Laplace transforms of conditional maximum distributions of processes related to third- and fourth-order equations. These distributions are then obtained explicitly and are expressed in terms of stable laws and the fundamental solutions of these higher-order equations. Interestingly, it is shown that in the third-order case, a genuine non-negative real-valued probability distribution is obtained
International audienceThe construction of probabilistic models in computational mechanics requires t...
The maximum-entroy distribution is derived for the Wienr-Shannon entropy for absolutely continuous d...
While many data processing techniques assume that we know the probability distributions, in practice...
The conditional Feynman-Kac functional is used to derive the Laplace transforms of conditional maxim...
AbstractThe conditional Feynman–Kac functional is used to derive the Laplace transforms of condition...
For processes $X(t),t>0$ governed by signed measures whose density is the fundamental solution of th...
Abstract. In this paper we introduce new distributions which are solutions of higher-order Laplace e...
Recently, Dombry and Eyi-Minko (2013) provided formulae for the distribution of a max-stable process...
Abstract. For the fundamental solutions of heat-type equations of order n we give a general stochast...
For the fundamental solutions of heat-type equations of order n we give a general stochastic represe...
We give an alternative route to the derivation of the distribution of the maximum and the location o...
For the fundamental solutions of heat-type equations of order $n$ we give a general stochastic repre...
We give a direct derivation of the distribution of the maximum and the location of the maximum of on...
The Lauricella theory of multiple hypergeometric functions is used to shed some light on certain dis...
We extend PML theory to account for information on the conditional moments up to order four, but wit...
International audienceThe construction of probabilistic models in computational mechanics requires t...
The maximum-entroy distribution is derived for the Wienr-Shannon entropy for absolutely continuous d...
While many data processing techniques assume that we know the probability distributions, in practice...
The conditional Feynman-Kac functional is used to derive the Laplace transforms of conditional maxim...
AbstractThe conditional Feynman–Kac functional is used to derive the Laplace transforms of condition...
For processes $X(t),t>0$ governed by signed measures whose density is the fundamental solution of th...
Abstract. In this paper we introduce new distributions which are solutions of higher-order Laplace e...
Recently, Dombry and Eyi-Minko (2013) provided formulae for the distribution of a max-stable process...
Abstract. For the fundamental solutions of heat-type equations of order n we give a general stochast...
For the fundamental solutions of heat-type equations of order n we give a general stochastic represe...
We give an alternative route to the derivation of the distribution of the maximum and the location o...
For the fundamental solutions of heat-type equations of order $n$ we give a general stochastic repre...
We give a direct derivation of the distribution of the maximum and the location of the maximum of on...
The Lauricella theory of multiple hypergeometric functions is used to shed some light on certain dis...
We extend PML theory to account for information on the conditional moments up to order four, but wit...
International audienceThe construction of probabilistic models in computational mechanics requires t...
The maximum-entroy distribution is derived for the Wienr-Shannon entropy for absolutely continuous d...
While many data processing techniques assume that we know the probability distributions, in practice...