BriefGPT.xyz
Oct, 2023
从时间序列数据中发现结构因果模型的混合物
Discovering Mixtures of Structural Causal Models from Time Series Data
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Sumanth Varambally, Yi-An Ma, Rose Yu
TL;DR
从混合不同因果模型的时间序列数据中,利用证据下界最大化的方法进行因果发现,经过实验证明在探测来自不同因果图的数据时,该方法优于现有基准模型。
Abstract
In fields such as finance, climate science, and neuroscience, inferring
causal relationships
from
time series data
poses a formidable challenge. While contemporary techniques can handle nonlinear relationships be
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