| Title |
On the statistical performance of Granger-causal connectivity estimators
|
|---|---|
| Published in |
Brain Informatics, April 2015
|
| DOI | 10.1007/s40708-015-0015-1 |
| Pubmed ID | |
| Authors |
Koichi Sameshima, Daniel Y. Takahashi, Luiz A. Baccalá |
| Abstract |
In this article, we extend the statistical detection performance evaluation of linear connectivity from Sameshima et al. (in: Slezak et al. (eds.) Lecture Notes in Computer Science, 2014) via brand new Monte Carlo simulations of three widely used toy models under different data record lengths for a classic time domain multivariate Granger causality test, information partial directed coherence, information directed transfer function, and include conditional multivariate Granger causality whose behaviour was found to be anomalous. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Iran, Islamic Republic of | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 3% |
| Brazil | 1 | 3% |
| Unknown | 29 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 26% |
| Student > Bachelor | 4 | 13% |
| Student > Master | 3 | 10% |
| Researcher | 3 | 10% |
| Student > Doctoral Student | 2 | 6% |
| Other | 5 | 16% |
| Unknown | 6 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 9 | 29% |
| Neuroscience | 3 | 10% |
| Computer Science | 3 | 10% |
| Medicine and Dentistry | 2 | 6% |
| Psychology | 2 | 6% |
| Other | 5 | 16% |
| Unknown | 7 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 April 2015.
All research outputs
#18,407,102
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Outputs from Brain Informatics
#83
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Outputs of similar age
#193,580
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Outputs of similar age from Brain Informatics
#1
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