Bayesian variable selection in high dimensional problems without assumptions on prior model probabilities

11 Jul 2016 · Berger James O., Garcia-Donato Gonzalo, Martinez-Beneito Miguel A., Peña Victor ·

We consider the problem of variable selection in linear models when $p$, the number of potential regressors, may exceed (and perhaps substantially) the sample size $n$ (which is possibly small).