paper

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

arXiv:1607.02993

Abstract

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

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