“…It seems that the beginning of renewed interest in Bayesian cubature can be dated to 2012, a year that witnessed the publication of a number of articles (Huszár and Duvenaud, 2012;Osborne et al, 2012b,a). The outpouring of work that soon followed contained contributions, to name a few, on selection of the integration points by numerical optimisation (Briol et al, 2015), convergence results in the misspecified setting when f ∉ H K (Kanagawa et al, 2016), selection of the sampling distribution in Bayesian Monte Carlo (Briol et al, 2017), relationship between Bayesian cubature and random feature expansions (Bach, 2017), and generalisations where also the measure μ is considered unknown (Oates et al, 2017b), derivative evaluations are employed (Prüher and Särkkä, 2016;Wu et al, 2018), 4 and the integrand is allowed to be vector-valued (Xi et al, 2018). Other recent works are Hamrick and Griffiths (2013); Ma et al (2014) A topic that has seen a fair amount of activity is modelling of positivity of the integrand (Osborne et al, 2012a;Gunter et al, 2014;Chai and Garnett, 2018;Wagstaff et al, 2018).…”