=2%5E%7B-n/2%7D%5C,%5Csum_%7Bi=0%7D%5En%5C,e%5E%7B%5Csqrt%7B2%7D%5Csum_%7Bj=1%7D%5Ei+x_j-+%5Csqrt%7B2%7D%5Csum_%7Bj=i+1%7D%5En+x_j+(n-2i)%5E2%5Csigma%5E2%7D&bg=000000&fg=B0B0B0&s=0)
In conjunction with the normal-Laplace comparison mentioned in the most recent post about our lack of confidence in ABC model choice, we have been working on the derivation of the exact Bayes factor and I derived an easy formula for the marginal likelihood in the Laplace case that boils down to a weighted sum of 
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
