Results 21 to 30 of about 1,239,696 (252)
Causal Inference-Based Root Cause Analysis for Online Service Systems with Intervention Recognition [PDF]
Knowledge Discovery and Data Mining, 2022 Fault diagnosis is critical in many domains, as faults may lead to safety threats or economic losses. In the field of online service systems, operators rely on enormous monitoring data to detect and mitigate failures.
Mingjie Li +6 more
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The Future of Causal Inference
American Journal of Epidemiology, 2022 Abstract The past several decades have seen exponential growth in causal inference approaches and their applications. In this commentary, we provide our top-10 list of emerging and exciting areas of research in causal inference. These include methods for high-dimensional data and precision medicine, causal machine learning, causal ...
Nandita, Mitra, Jason, Roy, Dylan, Small
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Bayesian causal inference: a critical review [PDF]
Philosophical Transactions of the Royal Society A, 2022 This paper provides a critical review of the Bayesian perspective of causal inference based on the potential outcomes framework. We review the causal estimands, assignment mechanism, the general structure of Bayesian inference of causal effects and ...
Fan-qun Li, Peng Ding, F. Mealli
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Ancestral Causal Inference [PDF]
CoRR, 2016 Constraint-based causal discovery from limited data is a notoriously difficult challenge due to the many borderline independence test decisions. Several approaches to improve the reliability of the predictions by exploiting redundancy in the independence information have been proposed recently. Though promising, existing approaches can still be greatly
Magliacane, S., Claassen, T., Mooij, J.
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y0-causal-inference/y0: v0.2.5
, 2023 <h2>What's Changed</h2> <ul> <li>Update falsification by @cthoyt in https://github.com/y0-causal-inference/y0/pull/196</li> </ul> <p><strong>Full Changelog</strong>: https://github.com/y0-causal ...
Jeremy Zucker +4 more
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Causal dynamic inference [PDF]
Annals of Mathematics and Artificial Intelligence, 2012 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Alexander Bochman, Dov M. Gabbay
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Causal network inference using biochemical kinetics [PDF]
, 2014 Motivation: Networks are widely used as structural summaries of biochemical systems. Statistical estimation of networks is usually based on linear or discrete models.
Bayani, Nora +11 more
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Nature Communications, 2023 Isolating the relationships between biodiversity and ecosystem functioning in natural ecosystems is challenging. Here, the authors apply a causal inference approach to observational data from grasslands and find a negative effect of biodiversity on ...
L. Dee +30 more
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Causalvis: Visualizations for Causal Inference [PDF]
International Conference on Human Factors in Computing Systems, 2023 Causal inference is a statistical paradigm for quantifying causal effects using observational data. It is a complex process, requiring multiple steps, iterations, and collaborations with domain experts.
G. Guo +3 more
semanticscholar +1 more source
Causal Diagrams for Causal Inference: An Introduction [PDF]
, 2022 openIn ambito econometrico-statistico, per quantificare una relazione causa effetto è richiesto un dettagliato lavoro preliminare di conoscenza del contesto in cui si manifesta il fenomeno studiato, al fine di fornire argomenti utili ad attribuire una ...
BERTIN, NICOLA
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