Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances

Csaba Toth, Harald Oberhauser

We develop a Bayesian approach to learning from sequential data by using Gaussian processes (GPs) with so-called signature kernels as covariance functions. This allows to make sequ…