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<p>Research into statistical learning, the ability to learn structured patterns in the environment, faces a theory crisis. Specifically, three challenges must be addressed: a lack of robust phenomena to constrain theories, issues with construct validity, and challenges with establishing causality. Here, we describe and discuss each issue in relation to several prominent statistical learning phenomena. We then offer recommendations to help address the theory crisis and move the field forward.</p>

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Addressing the theory crisis in statistical learning research

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年9月29日

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  • Christopher M. Conway,
  • Holly E. Jenkins,
  • Alice E. Milne,
  • Sonia Singh,
  • Benjamin Wilson

摘要

Research into statistical learning, the ability to learn structured patterns in the environment, faces a theory crisis. Specifically, three challenges must be addressed: a lack of robust phenomena to constrain theories, issues with construct validity, and challenges with establishing causality. Here, we describe and discuss each issue in relation to several prominent statistical learning phenomena. We then offer recommendations to help address the theory crisis and move the field forward.