与错误指定的网络干扰结构的因果推断
1Department of Statistics and Operations Research, Tel Aviv University, Tel Aviv, 6997801, Israel.
Biometrics
|February 23, 2026
概括
在因果推理中的网络错误规范可能会导致结果偏差. 这项研究引入了一个强大的估计器,如果多个测试网络中的任何一个是正确的,它仍然是不偏见的,减轻了错误的网络假设的偏见.
科学领域:
- 因果推理的原因推理.
- 网络分析 网络分析
- 社交网络分析分析
背景情况:
- 单位之间的干扰在许多领域都是常见的.
- 干扰模式通常使用网络建模.
- 准确的网络规范至关重要,但具有挑战性.
研究的目的:
- 调查网络错误规范在因果效应估计中的后果.
- 开发一种新型的估计器,能够对网络错误规格进行强大的估计.
主要方法:
- 为错误指定的网络推导偏差边界.
- 使用诱导暴露概率量化偏差的量化.
- 开发一种利用多个网络的新型估计器.
主要成果:
- 估计偏差随着网络分歧的增加而增加.
- 如果至少有一个网络是正确的,建议的估计器是无偏的.
- 模拟和实地实验证明了估计器的实用性.
结论:
- 网络错误规范在因果推理中构成了重大挑战.
- 拟议的多网络估计器为网络规范错误提供了可靠性.
- 这种方法提高了因果效应估计在网络设置的可靠性.
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