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zfit 中最大似然拟合与权重的误差估计

[英]Error estimation of maximum likelihood fit in zfit with weight

I am looking at the zfit tutorial, and seeing the comment about the likelihood with weight, (see attached image)我正在查看 zfit 教程,并看到有关重量可能性的评论,(见附图)

在此处输入图像描述

does anyone know if how the uncertainty is estimated in this case.有谁知道在这种情况下如何估计不确定性。 How would the weight contribute here?重量在这里有何贡献? Thanks in advance!提前致谢!

A weighted likelihood is indeed not a "real likelihood" anymore, however, the point estimation at the maximum is still valid.加权似然确实不再是“真实似然”,但是,最大点估计仍然有效。

The method implemented in zfit is the "asymptotically correct approach"as described in Parameter uncertainties in weighted unbinned maximum likelihood fits . zfit 中实现的方法是“渐近正确的方法”,如加权未分箱最大似然拟合中的参数不确定性中所述。

It will be taken into account automatically if your dataset is weighted.如果您的数据集被加权,它将被自动考虑在内。

(since this info was missing in the hesse docs, it just got updated) (由于hesse文档中缺少此信息,因此刚刚更新)

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