Model-Averaged [Formula: see text] Regularization using Markov Chain Monte Carlo Model Composition
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Bayesian Model Averaging (BMA) is an effective technique for addressing model uncertainty in variable selection problems. However, current BMA approaches have computational difficulty dealing with data in which there are many more measurements (variables) than... ...
