Results 21 to 30 of about 9,946,919 (251)

Does modeling causal relationships improve the accuracy of predicting lactation milk yields?

open access: yesJDS 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
doaj   +1 more source

Beyond Structural Causal Models: Causal Constraints Models

open access: yes, 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.
openaire   +4 more sources

Structure Mapping for Transferability of Causal Models

open access: yesCoRR, 2020
Presented at the Inductive Biases, Invariances and Generalization in Reinforcement Learning Workshop, ICML ...
Purva Pruthi   +3 more
openaire   +3 more sources

Invariant Causal Prediction for Nonlinear Models

open access: yesJournal 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
doaj   +1 more source

Marginal Structural Models to Estimate Causal Effects of Right-to-Carry Laws on Crime

open access: yesStatistics 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
doaj   +1 more source

Deep Structural Causal Shape Models

open access: yes, 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
openaire   +3 more sources

Causal Discovery in Linear Structural Causal Models with Deterministic Relations

open access: yesCoRR, 2021
Accepted at 1st Conference on Causal Learning and Reasoning (CLeaR 2022)
Yuqin Yang   +3 more
openaire   +4 more sources

249 Addressing Structural Racism Using Community Based System Dynamics

open access: yesJournal of Clinical and Translational Science, 2023
OBJECTIVES/GOALS: 1. Describe method of Community Based System Dynamics. 2. Describe CBSD as used in addressing structural racism in a previously redlined community. 3.
Heidi Gullett   +5 more
doaj   +1 more source

Beyond Structural Causal Models: Causal Constraints Models [PDF]

open access: yes, 2019
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
Bongers, S., Blom, T., Mooij, J.M.
core   +6 more sources

Causal Bandits for Linear Structural Equation Models

open access: yesJ. Mach. Learn. Res., 2022
61 pages; new to this version: added lower bounds and relaxed ...
Burak Varici   +3 more
openaire   +4 more sources

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