François Orieux

Gradient scan Gibbs sampler: An efficient high-dimensional sampler application in inverse problems

The paper deals with Gibbs samplers that include high-dimensional conditional Gaussian distributions. It proposes an efficient algorithm that only requires a scalar Gaussian sampling. The algorithm relies on a random excursion along a random direction. It is proved to converge, i.e. the drawn sample…