نتایج جستجو برای: nonlinear causality
تعداد نتایج: 269244 فیلتر نتایج به سال:
In the analysis of neuroscience data, the identification of task-related causal relationships between various areas of the brain gives insights about the network of physiological pathways that are active during the task. One increasingly used approach to identify causal connectivity uses the concept of Granger causality that exploits predictability of activity in one region by past activity in ...
Abstract The ability to test for statistical causality in linear and nonlinear contexts, stationary or non-stationary settings, identify whether influences trend of volatility forms a particularly important class problems explore multi-modal multivariate processes. In this paper, we develop novel testing frameworks general classes time series models. Our framework accommodates flexible features...
Although the tourism industry is booming, its scale imbalance, structural imbalance and inefficient allocation of resources have hindered realization high-quality development goals regional industry. Therefore, it very important to optimize structure. This paper uses linear nonlinear Granger causality tests study relationship between ’ industrial structure optimization carbon dioxide emissions ...
The notion of Granger causality between two time series examines if the prediction of one series could be improved by incorporating information of the other. In particular, if the prediction error of the first time series is reduced by including measurements from the second time series, then the second time series is said to have a causal influence on the first one. We propose a radial basis fu...
A recently proposed nonlinear extension of Granger causality is used to map the dynamics of a neural population onto a graph, whose community structure characterizes the collective behavior of the system. Both the number of communities and the modularity depend on transmission delays and on the learning capacity of the system.
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