Predictive inference with random forests: A new perspective on classical analyses

  title={Predictive inference with random forests: A new perspective on classical analyses},
  author={Richard J. McAlexander and L. Mentch},
  journal={Research \& Politics},
Despite the number of problems that can occur when core model assumptions are violated, nearly all quantitative political science research relies on inflexible regression models that require a linear relationship between dependent and independent variables for valid inference. We argue that nonparametric statistical learning methods like random forests are capable of combining the benefits of interpretability and flexibility. Recent work has shown that under suitable regularity conditions… Expand
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