The Signature Kernel
Darrick Lee Harald Oberhauser
The signature kernel is a positive definite kernel for sequential data. It
inherits theoretical guarantees from stochastic analysis, has efficient
algorithms for computation, and shows strong empirical performance. In this
short survey paper for a forthcoming Springer handbook, we give an elementary
introduction to the signature kernel and highlight these theoretical and
computational properties.