Causally Colored Reflections on Leo Breiman's "Statistical Modeling: The Two Cultures" (2001)

J. Pearl
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引用次数: 1

Abstract

Abstract:This note provides a re-assessment of Breiman's contributions to the art of statistical modeling, in light of recent advances in machine learning and causal inference. It highlights the crisp separation between the data-fitting and data-interpretation components of statistical modeling.
对Leo Breiman“统计建模:两种文化”(2001)的因果有色思考
摘要:根据机器学习和因果推理的最新进展,本说明重新评估了Breiman对统计建模艺术的贡献。它强调了统计建模的数据拟合和数据解释组件之间的清晰分离。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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