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Considerations Across Three Cultures: Parametric Regressions, Interpretable Algorithms, and Complex Algorithms

arXiv 2104.06571 ↗First posted 14 Apr 2021stat.ML stat.APcited by 0

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Abstract (arXiv)

We consider an extension of Leo Breiman's thesis from "Statistical Modeling: The Two Cultures" to include a bifurcation of algorithmic modeling, focusing on parametric regressions, interpretable algorithms, and complex (possibly explainable) algorithms.

Key facts. No citing papers in the map yet (data through 13 Oct 2026). Builds on 3 of its 22 references that are in the map. First posted on arXiv 14 Apr 2021.

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3 of 22 references.

References · 3

  1. 2020Ethical Machine Learning in Health Carecited by 112
  2. 2021A Review of Generalizability and Transportabilitycited by 37
  3. 2019Nonparametric Bootstrap Inference for the Targeted Highly Adaptive LASSO Estimatorcited by 2

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