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  • HANDBOOK OF BAYESIAN VARIABLE SELECTION
    MAHLET G. TADESSE
    Bayesian variable selection has experienced substantial developments over the past 30 years with the proliferation of large data sets. Identifying relevant variables to include in a model allows simpler interpretation, avoids overfitting and multicollinearity, and can provide insights into the mechanisms underlying an observed phenomenon. Variable selection is especially import...

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