Name
Abstract | ||
|---|---|---|
Causal inference concerns the identification of cause-effect relationships between variables, e.g., establishing whether a stimulus affects activity in a certain brain region. The observed variables themselves often do not constitute meaningful causal variables, however, and linear combinations need to be considered. In electroencephalographic studies, for example, one is not in... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/JSTSP.2016.2601144 | IEEE Journal of Selected Topics in Signal Processing |
Keywords | Field | DocType |
Numerical analysis,Signal processing algorithms,Electrodes,Electroencephalography,Inference algorithms,Mathematical model,Neuroimaging | Linear combination,Causal inference,MATLAB,Computer science,Artificial intelligence,Stimulus (physiology),Electroencephalography,Mathematical optimization,Algorithm,Eeg data,Numerical analysis,Machine learning,Python (programming language) | Journal |
Volume | Issue | ISSN |
10 | 7 | 1932-4553 |
Citations | PageRank | References |
1 | 0.37 | 18 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sebastian Weichwald | 1 | 16 | 3.84 |
| Moritz Grosse-Wentrup | 2 | 273 | 24.44 |
| Arthur Gretton | 3 | 3638 | 226.18 |