Results 21 to 30 of about 1,784,130 (283)
Learning Heterogeneity in Causal Inference Using Sufficient Dimension Reduction
Often the research interest in causal inference is on the regression causal effect, which is the mean difference in the potential outcomes conditional on the covariates. In this paper, we use sufficient dimension reduction to estimate a lower dimensional
Luo Wei, Wu Wenbo, Zhu Yeying
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The causal meaning of Fisher's average effect [PDF]
In order to formulate the Fundamental Theorem of Natural Selection, Fisher defined the average excess and average effect of a gene substitution. Finding these notions to be somewhat opaque, some authors have recommended reformulating Fisher's ideas in ...
Chow, Carson C., Lee, James J.
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Causal Fermion Systems: A Quantum Space-Time Emerging from an Action Principle [PDF]
Causal fermion systems are introduced as a general mathematical framework for formulating relativistic quantum theory. By specializing, we recover earlier notions like fermion systems in discrete space-time, the fermionic projector and causal variational
F Finster +7 more
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Local Causal Discovery for Estimating Causal Effects
Even when the causal graph underlying our data is unknown, we can use observational data to narrow down the possible values that an average treatment effect (ATE) can take by (1) identifying the graph up to a Markov equivalence class; and (2) estimating that ATE for each graph in the class.
Gupta, Shantanu +2 more
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A causal look into the quantum Talbot effect [PDF]
A well-known phenomenon in both optics and quantum mechanics is the so-called Talbot effect. This near field interference effect arises when infinitely periodic diffracting structures or gratings are illuminated by highly coherent light or particle beams.
A. S. Sanz +4 more
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BackgroundBreast and thyroid cancer are increasingly prevalent, but it remains unclear whether the observed associations are due to heightened medical surveillance or intrinsic etiological factors.
Hong Tan +5 more
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Effects of question formats on causal judgments and model evaluation [PDF]
Evaluation of causal reasoning models depends on how well the subjects' causal beliefs are assessed. Elicitation of causal beliefs is determined by the experimental questions put to subjects.
Shou, Yiyun, Smithson, Michael
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Causal Effect Identification in Uncertain Causal Networks
27 pages, 9 figures, NeurIPS 2023 conference, causal identification, causal discovery, probabilistic ...
Akbari, Sina +5 more
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Causality Is an Effect, II [PDF]
Causality follows the thermodynamic arrow of time, where the latter is defined by the direction of entropy increase. After a brief review of an earlier version of this article, rooted in classical mechanics, we give a quantum generalization of the results. The quantum proofs are limited to a gas of Gaussian wave packets.
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Clustering of causal graphs to explore drivers of river discharge
This work aims to classify catchments through the lens of causal inference and cluster analysis. In particular, it uses causal effects (CEs) of meteorological variables on river discharge while only relying on easily obtainable observational data.
Wiebke Günther +3 more
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