Results 31 to 40 of about 10,579,206 (300)
Invariant Causal Prediction for Nonlinear Models
Journal of Causal Inference, 2018 An important problem in many domains is to predict how a system will respond to interventions. This task is inherently linked to estimating the system’s underlying causal structure.
Heinze-Deml Christina +2 more
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Beyond Structural Causal Models: Causal Constraints Models
, 2018 Structural Causal Models (SCMs) provide a popular causal modeling framework. In this work, we show that SCMs are not flexible enough to give a complete causal representation of dynamical systems at equilibrium. Instead, we propose a generalization of the notion of an SCM, that we call Causal Constraints Model (CCM), and prove that CCMs do capture the ...
Blom, T., Bongers, S., Mooij, J.M.
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Deep Structural Causal Shape Models
, 2023 Causal reasoning provides a language to ask important interventional and counterfactual questions beyond purely statistical association. In medical imaging, for example, we may want to study the causal effect of genetic, environmental, or lifestyle factors on the normal and pathological variation of anatomical phenotypes.
Rasal, Rajat +3 more
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Causal Discovery in Linear Structural Causal Models with Deterministic Relations
CoRR, 2021 Accepted at 1st Conference on Causal Learning and Reasoning (CLeaR 2022)
Yuqin Yang +3 more
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Does modeling causal relationships improve the accuracy of predicting lactation milk yields?
JDS Communications, 2023 This study compared 3 correlational (best prediction, linear regression, and feed-forward neural networks) and 2 causal models (recursive structural equation model and recurrent neural networks) for estimating lactation milk yields.
Xiao-Lin Wu +7 more
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Marginal Structural Models to Estimate Causal Effects of Right-to-Carry Laws on Crime
Statistics and Public Policy, 2022 Right-to-carry (RTC) laws allow the legal carrying of concealed firearms for defense, in certain states in the United States. I used modern causal inference methodology from epidemiology to examine the effect of RTC laws on crime over a period from 1959 ...
Willem M. Van Der Wal
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A Critical View of the Structural Causal Model
CoRR, 2020 In the univariate case, we show that by comparing the individual complexities of univariate cause and effect, one can identify the cause and the effect, without considering their interaction at all. In our framework, complexities are captured by the reconstruction error of an autoencoder that operates on the quantiles of the distribution. Comparing the
Tomer Galanti, Ofir Nabati, Lior Wolf
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Causal Bandits for Linear Structural Equation Models
J. Mach. Learn. Res., 2022 61 pages; new to this version: added lower bounds and relaxed ...
Burak Varici +3 more
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Causality and tractable probabilistic models
Frontiers in Computer ScienceCausal assertions stem from an asymmetric relation between some variable's causes and effects, i.e., they imply the existence of a function decomposition of a model where the effects are a function of the causes without implying that the causes are ...
David Cruz, Jorge Batista, Jorge Batista
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Reducing Causality to Functions with Structural Models
CoRR, 2023 47 pages, submitted to The British Journal for the Philosophy of ...
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