This paper studies rescaled images, under exp−1μ, of the sample Fréchet means of i.i.d. random variables {Xk|k≥1} with Fréchet mean μ on a Rie-mannian manifold. We show that, with appropriate scaling, these images converge weakly to a diffusion process. Similar to the Euclidean case, this limiting diffusion is a Brownian motion up to a linear transformation. However, in addition to the covariance structure of exp−1μ(X1), this linear transformation also depends on the global Riemannian structure of the manifol
Sub-Riemannian geometry is the natural setting for studying dynamical systems, as noise often has a ...
We construct a recurrent diffusion process with values in the space of probability measures over an ...
L'objet de ce mémoire est l'étude de processus stochastiques à valeurs dans des variétés lorentzienn...
This paper studies rescaled images, under exp−1μ, of the sample Fréchet means of i.i.d. random varia...
This paper studies rescaled images, under exp−1μ, of the sample Fréchet means of i.i.d. random varia...
International audienceWe consider in this work a one parameter family of hypoelliptic diffusion proc...
Computing sample means on Riemannian manifolds is typically computationally costly as exemplified by...
We study some stochastic processes taking values in Lorentzian manifolds. We are particularly intere...
Consider a family of random ordinary differential equations on a manifold driven by vector fields of...
The asymptotic concentration of the Fréchet mean of IID random variables on a Rieman-nian manifold w...
We study the small-time fluctuations for diffusion processes which are conditioned by their initial ...
AbstractFor a diffusion Xt in a one-dimensional Wiener medium W, it is known that there is a certain...
We prove an invariance principle for a class of zero-drift spatially non-homogeneous random walks i...
L'objet de ce mémoire est l'étude de processus stochastiques à valeurs dans des variétés lorentzienn...
L'objet de ce mémoire est l'étude de processus stochastiques à valeurs dans des variétés lorentzienn...
Sub-Riemannian geometry is the natural setting for studying dynamical systems, as noise often has a ...
We construct a recurrent diffusion process with values in the space of probability measures over an ...
L'objet de ce mémoire est l'étude de processus stochastiques à valeurs dans des variétés lorentzienn...
This paper studies rescaled images, under exp−1μ, of the sample Fréchet means of i.i.d. random varia...
This paper studies rescaled images, under exp−1μ, of the sample Fréchet means of i.i.d. random varia...
International audienceWe consider in this work a one parameter family of hypoelliptic diffusion proc...
Computing sample means on Riemannian manifolds is typically computationally costly as exemplified by...
We study some stochastic processes taking values in Lorentzian manifolds. We are particularly intere...
Consider a family of random ordinary differential equations on a manifold driven by vector fields of...
The asymptotic concentration of the Fréchet mean of IID random variables on a Rieman-nian manifold w...
We study the small-time fluctuations for diffusion processes which are conditioned by their initial ...
AbstractFor a diffusion Xt in a one-dimensional Wiener medium W, it is known that there is a certain...
We prove an invariance principle for a class of zero-drift spatially non-homogeneous random walks i...
L'objet de ce mémoire est l'étude de processus stochastiques à valeurs dans des variétés lorentzienn...
L'objet de ce mémoire est l'étude de processus stochastiques à valeurs dans des variétés lorentzienn...
Sub-Riemannian geometry is the natural setting for studying dynamical systems, as noise often has a ...
We construct a recurrent diffusion process with values in the space of probability measures over an ...
L'objet de ce mémoire est l'étude de processus stochastiques à valeurs dans des variétés lorentzienn...