Regression network

A Gaussian process regression network is a regression framework that combines the properties of a Bayesian neural network with the flexibility of the Gaussian processes (Wilson et al. 2012). In the context of radial velocity measurements analysis, a GPRN can take into account multiple inputs together with the RVs, including the bisector inverse slope, the full width half maximum and other activity indicators.