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Published in 2018 at "Prevention Science"
DOI: 10.1007/s11121-018-0901-x
Abstract: Causal structure learning is one of the most exciting new topics in the fields of machine learning and statistics. In many empirical sciences including prevention science, the causal mechanisms underlying various phenomena need to be…
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Keywords:
structure learning;
non gaussian;
causal;
causal structure ... See more keywords
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Published in 2018 at "Synthese"
DOI: 10.1007/s11229-018-1775-y
Abstract: Recently, there has been a large amount of support for the idea that causal claims can be sensitive to normative considerations. Previous work has focused on the concept of actual causation, defending the claim that…
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Keywords:
policy;
normative commitments;
causal;
causal structure ... See more keywords
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Published in 2021 at "Scientific reports"
DOI: 10.1038/s41598-021-99990-7
Abstract: Modern AI-based clinical decision support models owe their success in part to the very large number of predictors they use. Safe and robust decision support, especially for intervention planning, requires causal, not associative, relationships. Traditional…
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Keywords:
data application;
ehr data;
causal;
causal structure ... See more keywords
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Published in 2022 at "Chaos"
DOI: 10.1063/5.0102250
Abstract: Identifying and describing the dynamics of complex systems is a central challenge in various areas of science, such as physics, finance, or climatology. While machine learning algorithms are increasingly overtaking traditional approaches, their inner workings…
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Keywords:
causal structure;
identifying causality;
governing equations;
causality ... See more keywords
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Published in 2018 at "Classical and Quantum Gravity"
DOI: 10.1088/1361-6382/aaf5f8
Abstract: We offer a mathematically rigorous basis for the widely held suspicion that full black hole evaporation is in tension with predictability. Based on conditions expressing the global causal structure of evaporating black hole spacetimes, we…
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Keywords:
structure evaporating;
black holes;
geometry;
causal structure ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2994936
Abstract: Type 2 diabetes (T2DM), one of the most prevalent chronic diseases, affects the glucose metabolism of the human body, which decreases the quantity of life and brings a heavy burden on social medical care. Patients…
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Keywords:
knowledge;
causal structure;
local causal;
prior knowledge ... See more keywords