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English(EN) Mixed Engression: Distributional Regression for Multivariate Mixed-Type Responses

新的统计方法“Mixed Engression”可处理混合类型数据

研究人员推出了一种名为“mixed engression”的新型统计方法,用于模拟包含连续和二元成分的多元响应。该方法解决了在尊重不同支持并适应重尾连续结果的同时,捕捉这些不同类型数据之间依赖性的挑战。该方法利用一个连续生成器,该生成器配备了源自边界差异的能量损失,然后对二元输出进行阈值处理以生成混合响应样本。模拟表明,mixed engression 在重尾设置下优于现有的比较方法,并且表明适度的二元增强可以在不显著损害全响应准确性的情况下提高二元分布的准确性。 AI

排序理由 该条目是一篇关于新统计方法的学术论文。[lever_c_demoted from research: ic=1 ai=0.4]

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新的统计方法“Mixed Engression”可处理混合类型数据

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该条目是一篇关于新统计方法的学术论文。[lever_c_demoted from research: ic=1 ai=0.4]
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报道来源 [1]

  1. arXiv stat.ML TIER_1 English(EN) · Seyong Hwang, Kean Ming Tan, Ji Zhu ·

    混合回归:用于多元混合类型响应的分布回归

    arXiv:2610.32850v1 Announce Type: cross Abstract: Estimating the conditional distribution of multivariate responses with continuous and binary components requires capturing their dependence, respecting their different supports, and accommodating potentially heavy-tailed continuou…