Results 21 to 30 of about 23,286,860 (307)
Dynamic staged trees for discrete multivariate time series : forecasting, model selection and causal analysis [PDF]
, 2010 A new tree-based graphical model — the dynamic staged tree — is used to model discrete-valued discrete-time multivariate processes which are hypothesised to exhibit certain symmetries concerning how situations might unfold.
Smith, JQ +5 more
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Sensitivity analysis for causal effects with generalized linear models
, 2022 Residual confounding is a common source of bias in observational studies. In this article, we build upon a series of sensitivity analyses methods for residual confounding developed by Brumback et al. and Chiba whose sensitivity parameters are constructed
Gabriel, EE +5 more
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CoRR, 2018 We provide a conceptual map to navigate causal analysis problems. Focusing on the case of discrete random variables, we consider the case of causal effect estimation from observational data. The presented approaches apply also to continuous variables, but the issue of estimation becomes more complex.
Finnian Lattimore, Cheng Soon Ong
openaire +2 more sources
Individual differences in causal learning and decision making [PDF]
, 2005 This is an accepted author manuscript of an article subsequently published by Elsevier. The final published version can be found here: http://dx.doi.org/10.1016/j.actpsy.2005.04.003In judgment and decision making tasks, people tend to neglect the overall
Osman, M, Shanks, David R
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Inversion-based control of electromechanical systems using causal graphical descriptions [PDF]
, 2006 Causal Ordering Graph and Energetic Macroscopic Representation are graphical descriptions to model electromechanical systems using integral causality. Inversion rules have been defined in order to deduce control structure step-bystep from these graphical
F. Giraud +17 more
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Mathematics, 2022 Managers implement several Green Supply Chain Management (GSCM) practices to improve sustainability and economic performance, such as environmental management systems (EMS), eco-design (ED), source reduction (SR) and attending to external environmental ...
Jorge Luis García Alcaraz +6 more
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Nested Sampling in Sequential Mixed Methods Research Designs: Comparing Recipe and Result
Forum: Qualitative Social Research, 2023 In this contribution, I focus on nested sampling as it is applied in sequential quantitative-qualitative mixed methods research. The function of this design element is to integrate quantitative and qualitative data.
Pascal Tanner
doaj +1 more source
Journal of Marine Science and Engineering, 2022 In order to prevent safety risks, control marine accidents and improve the overall safety of marine navigation, this study established a marine accident prediction model.
Cheng Zhang, Xiong Zou, Chuan Lin
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Correlational data, causal hypotheses, and validity [PDF]
, 2010 A shared problem across the sciences is to make sense of correlational data coming from observations and/or from experiments. Arguably, this means establishing when correlations are causal and when they are not. This is an old problem in philosophy. This
Russo, Federica, Federica Russo
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Forecasting, 2022 This paper provides new insights into the causal effects of the enlargement of the European Union (EU) on patent performance. The study focuses on the new EU member states (EU-13) and accession is considered as an intervention whose causal effect is ...
Agnieszka Kleszcz, Krzysztof Rusek
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