Stellar photospheric activity is known to limit the detection and characterisation of extra-solar planets. In particular, study Earth-like planets around Sun-like stars requires data analysis methods that can accurately model stellar phenomena affecting radial velocity (RV) measurements. Gaussian Process Regression Networks (GPRNs) offer a principled approach simultaneous time-series, combining...

Recently, there has been a growing interest for mixed-categorical meta-models based on Gaussian process (GP) surrogates. In this setting, several existing approaches use different strategies either by using continuous kernels (e.g., relaxation and Gower distance GP) or direct estimation of the correlation matrix. paper, we present kernel-based approach that extends exponential to handle variabl...