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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)...

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

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