6 datasets found

The dataset used in this paper is a synthetic diffusion data, which is a β-stable process with varying number of points and tail indices.

The dataset used in the paper is a continuous-time functional diffusion process.

The dataset used in this paper is a sub-Riemannian manifold, specifically the Heisenberg group, with a sub-Riemannian structure defined by a bracket-generating subbundle E.

The dataset used in the paper is a cell differentiation and development model, which is a type of diffusion process.

The dataset used in the paper is an Ornstein-Uhlenbeck process, which is a type of diffusion process.

The dataset used in the paper is a simulation of diffusion bridges, which are diffusion processes that are conditioned to initialize and terminate at two given states.