|
🐬
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A million variables and more: the Fast Greedy Equivalence Search algorithm for learning high-dimensional graphical causal models, with an application to functional magnetic resonance images
J. Ramsey,
Madelyn Glymour,
Ruben Sanchez-Romero,
C. Glymour
|
8 |
2016 |
8
🐬
|
|
🐜
|
Advancing functional connectivity research from association to causation
13 auth.
A. Reid,
Drew B. Headley,
R. Mill,
Ruben Sanchez-Romero,
L. Uddin,
Daniele Marinazzo,
Daniel J. Lurie,
P. Valdés-Sosa,
S. Hanson,
B. Biswal,
...
V. Calhoun,
R. Poldrack,
Michael W. Cole
|
8 |
2019 |
8
🐜
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|
🐜
|
Causal Discovery from Heterogeneous/Nonstationary Data
7 auth.
Biwei Huang,
Kun Zhang,
Jiji Zhang,
J. Ramsey,
Ruben Sanchez-Romero,
C. Glymour,
...
B. Scholkopf
|
7 |
2019 |
7
🐜
|
|
🐢
|
The Functional Relevance of Task-State Functional Connectivity
Michael W. Cole,
Takuya Ito,
Carrisa V. Cocuzza,
Ruben Sanchez-Romero
|
6 |
2020 |
6
🐢
|
|
🦁
|
Estimating feedforward and feedback effective connections from fMRI time series: Assessments of statistical methods
Ruben Sanchez-Romero,
J. Ramsey,
Kun Zhang,
Madelyn Glymour,
Biwei Huang,
C. Glymour
|
6 |
2019 |
6
🦁
|
|
🦁
|
Combining multiple functional connectivity methods to improve causal inferences
Ruben Sanchez-Romero,
Michael W. Cole
|
5 |
2019 |
5
🦁
|
|
🐬
|
Non-Gaussian methods and high-pass filters in the estimation of effective connections
J. Ramsey,
Ruben Sanchez-Romero,
C. Glymour
|
5 |
2014 |
5
🐬
|
|
🐬
|
Behind Distribution Shift: Mining Driving Forces of Changes and Causal Arrows
Biwei Huang,
Kun Zhang,
Jiji Zhang,
Ruben Sanchez-Romero,
C. Glymour,
B. Scholkopf
|
5 |
2017 |
5
🐬
|
|
🐬
|
Diagnosis of Autism Spectrum Disorder by Causal Influence Strength Learned from Resting-State fMRI Data
Biwei Huang,
Kun Zhang,
Ruben Sanchez-Romero,
J. Ramsey,
Madelyn Glymour,
C. Glymour
|
3 |
2019 |
3
🐬
|
|
🐬
|
Fast Scalable and Accurate Discovery of DAGs Using the Best Order Score Search and Grow-Shrink Trees
Bryan Andrews,
Joseph Ramsey,
Ruben Sanchez-Romero,
Jazmin Camchong,
Erich Kummerfeld
|
3 |
2023 |
3
🐬
|
