0.0 0.0 # df prior for function, values are alpha and beta parameters of gamma distribution (use "0.0 0.0" to omit this prior) 0.0 10.0 # prior mean and sd for function mu 0.0 9.0 # prior mean and sd for function log(sigma) 0.5 30 # (remove line for Stationary GP) prior upper and lower bounds for function nu 0.036 # proposal sd for function values 2.7 # proposal sd for function mu 0.4 # proposal sd for function log(sigma) 5.0 # (remove line for Stationary GP) proposal sd for function nu 0.0 9.0 # prior mean and sd for log of noise sd log(eta) 0.15 # proposal sd for log(eta) -3.5 1.5 # alpha and beta parameters for beta dist on log(kappa), the correlation scale for the eigenprocesses 0.5 30 # prior upper and lower bounds for nu for eigenprocesses (nu for function in stationary GP case) 0.15 # proposal sd for log(kappa) 0.0 # proposal sd for nu for eigenvalue process (or for function in stationary GP case); use 0.0 to fix value -4.0 2.5 # mean and sd for eigenvalue process mu 1.0 1.0 # mean and sd for eigenvalue process log(sigma) 0.14 # proposal sd for eigenvalue process values 0.35 # proposal sd for eigenvalue process mu 0.0 # proposal sd for eigenvalue process sigma (use 0.0 for fixed value)