Results 261 to 270 of about 35,628 (301)
Making Sense of the Bioeconomy: A Critical Analysis of EU Policy Narratives and Responses
Environmental Policy and Governance, EarlyView.ABSTRACT The bioeconomy has become an increasingly popular concept in European Union (EU) policy, promising sustainable growth, job creation, and reduced environmental impacts. Yet its meaning remains contested, ambiguous, and politically charged. This study critically examines how EU bioeconomy policy narratives prior to 2025 construct this concept ...
Elena Zepharovich +4 more
wiley +1 more source
Evaluating the role of financial globalization and oil consumption on ecological quality: A new perspective from quantile-on-quantile granger causality. [PDF]
HeliyonAdebayo TS, Özkan O.
europepmc +1 more source
Epilepsia, EarlyView.Abstract Objective Accurate localization of epileptic activity remains challenging when interictal discharges are absent or sparse. Although resting‐state functional MRI (rs‐fMRI) is noninvasive, individual rs‐fMRI metrics provide inconsistent and incomplete localization.
Qirui Zhang +8 more
wiley +1 more source
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Economics Letters, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
He, Zonglu, Maekawa, Koichi
exaly +2 more sources
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
He, Zonglu, Maekawa, Koichi
exaly +2 more sources
Conditional Granger causality and partitioned Granger causality: differences and similarities
Biological Cybernetics, 2015Neural information modeling and analysis often requires a measurement of the mutual influence among many signals. A common technique is the conditional Granger causality (cGC) which measures the influence of one time series on another time series in the presence of a third. Geweke has translated this condition into the frequency domain and has explored
Sheida Malekpour, William A. Sethares
openaire +2 more sources
2011
As one of the most successful approaches to uncover complex network structures from experimental data, Granger causality has been widely applied to various reverse engineering problems. This chapter first reviews some current developments of Granger causality and then presents the graphical user interface (GUI) to facilitate the application.
Tian Ge, Jianfeng Feng
+4 more sources
As one of the most successful approaches to uncover complex network structures from experimental data, Granger causality has been widely applied to various reverse engineering problems. This chapter first reviews some current developments of Granger causality and then presents the graphical user interface (GUI) to facilitate the application.
Tian Ge, Jianfeng Feng
+4 more sources
Granger causality and stopping times*
Lithuanian Mathematical Journal, 2016zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Petrović, Ljiljana +2 more
openaire +2 more sources
Testing for Granger's Full Causality
The Review of Economics and Statistics, 1992A procedure is proposed to test for the existence of a fully causal relationship between two variables. The method involves contrasting the probabilistic forecasting performance of a univariate and bivariate specification for the same variable Y. If there exists some theory or belief that X causes Y, and the addition of a variable X to the information ...
Covey, Ted, Bessler, David A
openaire +1 more source
1997
Abstract Granger causality is a relationship between the components of D(L)zl or D(L)zf. Therefore, as in Chapter 8, there is no loss of generality in assuming D(L) = I. Let us further simplify the matter by considering a two-variable model.
Mario Forni, Marco Lippi
openaire +1 more source
Abstract Granger causality is a relationship between the components of D(L)zl or D(L)zf. Therefore, as in Chapter 8, there is no loss of generality in assuming D(L) = I. Let us further simplify the matter by considering a two-variable model.
Mario Forni, Marco Lippi
openaire +1 more source