Results 11 to 20 of about 284,614 (340)
Multiscale Granger causality [PDF]
In the study of complex physical and biological systems represented by multivariate stochastic processes, an issue of great relevance is the description of the system dynamics spanning multiple temporal scales. While methods to assess the dynamic complexity of individual processes at different time scales are well-established, multiscale analysis of ...
Faes L. +3 more
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Multivariate Granger causality and generalized variance [PDF]
Granger causality analysis is a popular method for inference on directed interactions in complex systems of many variables. A shortcoming of the standard framework for Granger causality is that it only allows for examination of interactions between single (univariate) variables within a system, perhaps conditioned on other variables.
Barrett, Adam B +2 more
openaire +6 more sources
With 2.5 global hectares (gha) per capita against 2.7 gha per capita, China’s ecological footprint is desirably below the world’s average ecological footprint per capita.
A. Alola +2 more
semanticscholar +1 more source
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
Chengxiao Yang +5 more
semanticscholar +1 more source
The elderly population and economic growth have been a contentious topic among researchers. Regardless of the economic growth rate, the population and its growth have a stimulating influence on economic development.
Thaveesha Jayawardhana +5 more
doaj +2 more sources
Hubungan Antara Perkembangan Sektor Keuangan dengan Volatilitas Ekonomi di Indonesia
The study is conducted to analyze the causal relationship between financial sector development and economic volatility in Indonesia during the period of 1983.2-2000.4. The study uses three kinds of variables as proxies to the financial sector development.
Romi Mulyadi H.
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Variable-lag Granger Causality and Transfer Entropy for Time Series Analysis [PDF]
Granger causality is a fundamental technique for causal inference in time series data, commonly used in the social and biological sciences. Typical operationalizations of Granger causality make a strong assumption that every time point of the effect time
Chainarong Amornbunchornvej +2 more
semanticscholar +1 more source
Detecting Climate Teleconnections With Granger Causality [PDF]
Climate system teleconnections are crucial for improving climate predictability, but difficult to quantify. Standard approaches to identify teleconnections are often based on correlations between time series.
F. N. Silva +7 more
semanticscholar +1 more source
New considerations on the validity of the Wiener-Granger causality test
The Wiener-Granger causality test is used to predict future experimental results from past observations in a purely mathematical way. For instance, in many scientific papers this test has been used to study the causality relations in the case of neuronal
Greta Grassmann
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This study aims to investigate the co-movement and Granger causality between Bitcoin prices (BTC) and M2 (cash, demand, and time deposits), inflation, and economic policy uncertainty (EPU) in the U.K. and Japan.
Provash Kumer Sarker, Lei Wang
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