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Granger causality analysis in neuroscience and neuroimaging [PDF]
Journal of Neuroscience, 2015 No description ...
Barnett, Lionel +2 more
core +4 more sources
Statistical causality analysis
Discrete and Continuous Models and Applied Computational ScienceThe problem of identifying deterministic cause-and-effect relationships, initially hidden in accumulated empirical data, is discussed. Statistical methods were used to identify such relationships.
Alexander A. Grusho +4 more
doaj +3 more sources
Granger Causality Analysis of Chignolin Folding. [PDF]
J Chem Theory Comput, 2022 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 ...
Sobieraj M, Setny P.
europepmc +2 more sources
Economic Freedom, Education and CO2 Emissions: A Causality Analysis for EU Member States. [PDF]
Int J Environ Res Public Health, 2022 Environmental sustainability is one of three pillars of sustainability. However, a significant worldwide deterioration in the environment has been experienced since the Industrial Revolution, but the efforts to protect the environment date back to the ...
Sart G, Bayar Y, Danilina M, Sezgin FH.
europepmc +2 more sources
The thalamus is the causal hub of intervention in patients with major depressive disorder: Evidence from the Granger causality analysis. [PDF]
Neuroimage Clin, 2023 Highlights • A review of previous abnormal Granger causality studies of major depressive disorder.• Granger causality is an reliable method to explore abnormal causal nodes in the patient's brain.• The thalamus has the potential to be an effective target
Yang C +5 more
europepmc +2 more sources
Tourism expansion and economic growth in Tanzania: A causality analysis. [PDF]
Heliyon, 2021 After the economic liberalization in mid-2000, Tanzania has assumed that tourism growth spars economic growth due to the consistent significant contribution of tourism sector to the country's annual income.
Kyara VC, Rahman MM, Khanam R.
europepmc +2 more sources
Normalized Multivariate Time Series Causality Analysis and Causal Graph Reconstruction. [PDF]
Entropy (Basel), 2021 Causality analysis is an important problem lying at the heart of science, and is of particular importance in data science and machine learning. An endeavor during the past 16 years viewing causality as a real physical notion so as to formulate it from ...
Liang XS.
europepmc +3 more sources
Causality Analysis for COVID-19 among Countries Using Effective Transfer Entropy [PDF]
Entropy, 2022 In this study, causalities of COVID-19 across a group of seventy countries are analyzed with effective transfer entropy. To reveal the causalities, a weighted directed network is constructed.
Baki Ünal
doaj +2 more sources
Adaptive fairness improvement based on causality analysis [PDF]
ESEC/SIGSOFT FSE, 2022 Given a discriminating neural network, the problem of fairness improvement is to systematically reduce discrimination without significantly scarifies its performance (i.e., accuracy).
Mengdi Zhang, Jun Sun
semanticscholar +1 more source
Journal of Business Economics and Management, 2022 Entrepreneurship has become an important tool for job creation, economic growth, improvements in productivity and production, and innovation. Therefore, key country and individual-level factors driving entrepreneurship have been explored in the related ...
Yilmaz Bayar +3 more
doaj +1 more source