Economic variable selection

Steven N. MacEachern; Koji Miyawaki

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arXiv · 1903.02136

Economic variable selection

Steven N. MacEachern·Koji Miyawaki

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Abstract

Regression plays a key role in many research areas and its variable selection is a classic and major problem. This study emphasizes cost of predictors to be purchased for future use, when we select a subset of them. Its economic aspect is naturally formalized by the decision-theoretic approach. In addition, two Bayesian approaches are proposed to address uncertainty about model parameters and models: the restricted and extended approaches, which lead us to rethink about model averaging. From objective, rule-based, or robust Bayes point of view, the former is preferred. Proposed method is applied to three popular datasets for illustration.

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Steven N. MacEachern, Koji Miyawaki. 2019-03-06. Economic variable selection. https://arxiv.org/abs/1903.02136

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