Joseph Ramsey
Joseph Ramsey
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Network modelling methods for FMRI
SM Smith, KL Miller, G Salimi-Khorshidi, M Webster, CF Beckmann, ...
Neuroimage 54 (2), 875-891, 2011
Six problems for causal inference from fMRI
JD Ramsey, SJ Hanson, C Hanson, YO Halchenko, RA Poldrack, ...
neuroimage 49 (2), 1545-1558, 2010
A million variables and more: the fast greedy equivalence search algorithm for learning high-dimensional graphical causal models, with an application to functional magnetic …
J Ramsey, M Glymour, R Sanchez-Romero, C Glymour
International journal of data science and analytics 3, 121-129, 2017
Adjacency-faithfulness and conservative causal inference
J Ramsey, J Zhang, PL Spirtes
arXiv preprint arXiv:1206.6843, 2012
Optical coherence tomography machine learning classifiers for glaucoma detection: a preliminary study
Z Burgansky-Eliash, G Wollstein, T Chu, JD Ramsey, C Glymour, ...
Investigative ophthalmology & visual science 46 (11), 4147-4152, 2005
Discovering cyclic causal models by independent components analysis
G Lacerda, PL Spirtes, J Ramsey, PO Hoyer
arXiv preprint arXiv:1206.3273, 2012
A hybrid causal search algorithm for latent variable models
JM Ogarrio, P Spirtes, J Ramsey
Conference on probabilistic graphical models, 368-379, 2016
Causal discovery from heterogeneous/nonstationary data
B Huang, K Zhang, J Zhang, J Ramsey, R Sanchez-Romero, C Glymour, ...
Journal of Machine Learning Research 21 (89), 1-53, 2020
Bayesian networks for fMRI: a primer
JA Mumford, JD Ramsey
Neuroimage 86, 573-582, 2014
Multi-subject search correctly identifies causal connections and most causal directions in the DCM models of the Smith et al. simulation study
JD Ramsey, SJ Hanson, C Glymour
NeuroImage 58 (3), 838-848, 2011
Actual causation: a stone soup essay
C Glymour, D Danks, B Glymour, F Eberhardt, J Ramsey, R Scheines, ...
Synthese 175, 169-192, 2010
Causal discovery of linear acyclic models with arbitrary distributions
PO Hoyer, A Hyvarinen, R Scheines, PL Spirtes, J Ramsey, G Lacerda, ...
arXiv preprint arXiv:1206.3260, 2012
Causal clustering for 1-factor measurement models
E Kummerfeld, J Ramsey
Proceedings of the 22nd ACM SIGKDD international conference on knowledge …, 2016
Tetrad—a toolbox for causal discovery
JD Ramsey, K Zhang, M Glymour, RS Romero, B Huang, I Ebert-Uphoff, ...
8th international workshop on climate informatics, 1-4, 2018
Estimating feedforward and feedback effective connections from fMRI time series: Assessments of statistical methods
R Sanchez-Romero, JD Ramsey, K Zhang, MRK Glymour, B Huang, ...
Network Neuroscience 3 (2), 274-306, 2019
Mixed graphical models for integrative causal analysis with application to chronic lung disease diagnosis and prognosis
AJ Sedgewick, K Buschur, I Shi, JD Ramsey, VK Raghu, DV Manatakis, ...
Bioinformatics 35 (7), 1204-1212, 2019
Scoring Bayesian networks of mixed variables
B Andrews, J Ramsey, GF Cooper
International journal of data science and analytics 6, 3-18, 2018
Comparison of strategies for scalable causal discovery of latent variable models from mixed data
VK Raghu, JD Ramsey, A Morris, DV Manatakis, P Sprites, ...
International journal of data science and analytics 6, 33-45, 2018
Non-Gaussian methods and high-pass filters in the estimation of effective connections
JD Ramsey, R Sanchez-Romero, C Glymour
Neuroimage 84, 986-1006, 2014
Mu2e conceptual design report
RJ Abrams
Lawrence Berkeley National Lab.(LBNL), Berkeley, CA (United States), 2012
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