A g-prior extension for p>n

For the normal linear model regression setup, Zellner's $g$-prior is extended for the case where the number of predictors $p$ exceeds the number of observations $n$. Exact analytical calculation of the marginal density under this prior is seen to lead to a new closed form variable selection criterion. This results are also applicable to the multivariate regression setup.