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Published in 2018 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2018.09.548
Abstract: Abstract Data-driven causality analysis is an important step towards fault diagnosis in complex industrial processes. Although many causality analysis tools were developed in different domains, only a few of them are applied in the industry.…
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Keywords:
fault diagnosis;
tool;
causality analysis;
causality ... See more keywords
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Published in 2020 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2020.12.111
Abstract: Abstract In industrial processes, causality analysis plays an important role in fault detection and topology building. Aiming to attenuate the influence of common correlation and noise, a feature based causality analysis method is proposed. By…
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Keywords:
feature based;
feature;
causality analysis;
causal factors ... See more keywords
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Published in 2022 at "Journal of Chemical Theory and Computation"
DOI: 10.1021/acs.jctc.1c00945
Abstract: Constantly advancing computer simulations of biomolecules provide huge amounts of data that are difficult to interpret. In particular, obtaining insights into functional aspects of macromolecular dynamics, often related to cascades of transient events, calls for…
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Keywords:
causality analysis;
analysis;
chignolin folding;
granger causality ... See more keywords
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Published in 2019 at "Chaos"
DOI: 10.1063/1.5083905
Abstract: Causality analysis is a substantial tool for identifying cause-and-effect links between different components of a system and has been extensively used in various areas of science such as neuroscience, climatology, and econometrics. This analysis is…
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Keywords:
analysis nuclear;
analysis;
causality analysis;
nuclear reactor ... See more keywords
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Published in 2020 at "Chaos"
DOI: 10.1063/5.0006349
Abstract: How to extract directions of information flow in dynamical systems based on empirical data remains a key challenge. The Granger causality (GC) analysis has been identified as a powerful method to achieve this capability. However,…
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Keywords:
granger causality;
analysis;
connectivity;
causality analysis ... See more keywords
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Published in 2022 at "Chaos"
DOI: 10.1063/5.0087910
Abstract: Instantaneous phases extracted from multivariate time series can retain information about the relationships between the underlying mechanisms that generate the series. Although phases have been widely used in the study of nondirectional coupling and connectivity,…
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Keywords:
information;
causality;
causality analysis;
phase based ... See more keywords
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Published in 2023 at "eLife"
DOI: 10.1101/2022.06.27.497721
Abstract: One challenge in neuroscience is to understand how information flows between neurons in vivo to trigger specific behaviors. Granger causality (GC) has been proposed as a simple and effective measure for identifying dynamical interactions. At…
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Keywords:
calcium;
analysis calcium;
causality analysis;
analysis ... See more keywords
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Published in 2017 at "Review of Pacific Basin Financial Markets and Policies"
DOI: 10.1142/s0219091517500242
Abstract: Among the economies in the Eastern coastal area of mainland China, Jiangsu has stood out in terms of its rapid and sustained economic growth since 2000. The province has done exceptionally well in terms of…
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Keywords:
geweke causality;
jiangsu taiwan;
causality analysis;
assessing development ... See more keywords
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Published in 2023 at "Network Neuroscience"
DOI: 10.1162/netn_a_00316
Abstract: Most Granger causality analysis (GCA) methods still remain a two-stage scheme guided by different mathematical theories, both can actually be viewed as the same generalized model selection issues. Adhering to Occam’s razor, we present a…
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Keywords:
granger causality;
analysis;
description length;
causality analysis ... See more keywords
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Published in 2019 at "Global Business Review"
DOI: 10.1177/0972150919837077
Abstract: The present study estimates technical efficiency (TE) by developing Translog stochastic frontier approach. The study also verifies causal relationship between efficiency and advances using panel Granger causality test. The study experienced an increasing trend in…
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Keywords:
performance causality;
commercial banks;
causality analysis;
study ... See more keywords
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Published in 2021 at "Brain Informatics"
DOI: 10.1186/s40708-021-00136-2
Abstract: Unified Granger causality analysis (uGCA) alters conventional two-stage Granger causality analysis into a unified code-length guided framework. We have presented several forms of uGCA methods to investigate causal connectivities, and different forms of uGCA have…
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Keywords:
unified granger;
causality analysis;
granger causality;