裘迪亚·珀尔(Judea Pearl)(生于1936年9月4日)是一名以色列裔美国计算机科学家和哲学家,以倡导人工智能的概率方法和贝叶斯网络的发展而闻名。他还因开发基于结构模型的因果和反事实推理理论而受到赞誉。2011年,计算机协会将 Pearl授予图灵奖,是计算机科学领域的最高荣誉,“通过开发概率和因果推理演算对人工智能的基本贡献”

VIP内容

图灵奖获得者Judea Pearl在Twitter推荐了一本新书《图模型手册》,他认为,这本书很好地刻写了图模型领域自20世纪80年代成立以来是如何发展的。由顶级统计学家编写,它可以作为传统统计学家很好的一个介绍因果模型的材料。这本书总共546页pdf,由苏黎世联邦理工学院、华盛顿大学、加州伯克利分校、哥本哈根大学四位教授主编,以及有30多位统计学家合作编著完成。

成为VIP会员查看完整内容
0
55

最新论文

Judea Pearl's insight that, when errors are assumed independent, the Pure (aka Natural) Direct Effect (PDE) is non-parametrically identified via the Mediation Formula was `path-breaking' in more than one sense! In the same paper Pearl described a thought-experiment as a way to motivate the PDE. Analysis of this experiment led Robins \& Richardson to a novel way of conceptualizing direct effects in terms of interventions on an expanded graph in which treatment is decomposed into multiple separable components. We further develop this novel theory here, showing that it provides a self-contained framework for discussing mediation without reference to cross-world (nested) counterfactuals or interventions on the mediator. The theory preserves the dictum `no causation without manipulation' and makes questions of mediation empirically testable in future Randomized Controlled Trials. Even so, we prove the interventionist and nested counterfactual approaches remain tightly coupled under a Non-Parametric Structural Equation Model except in the presence of a `recanting witness.' In fact, our analysis also leads to a simple sound and complete algorithm for determining identification in the (non-interventionist) theory of path-specific counterfactuals.

0
0
下载
预览
Top