BayesianQuadrature.BayesModelType
BayesModel(prior, logintegrand)
Model inheriting from AbstractMCMC.AbstractModel. prior should be a multivariate distribution from Distributions.jl at the moment prior has to be a MvNormal but this will improved in a later version logintegrand should be the log of the function to integrate.
BayesianQuadrature.BayesQuadType
BayesQuad(k::Kernel; l=1.0, σ::Real=1.0)
Bayesian Quadrature object. You can pass any kernel and the lengthscale and variance will be extracted. l can be a Real, a AbstractVector or a LowerTriangular.