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
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
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 (2), 121-129, 2017
Discovering cyclic causal models by independent components analysis
G Lacerda, PL Spirtes, J Ramsey, PO Hoyer
arXiv preprint arXiv:1206.3273, 2012
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
A hybrid causal search algorithm for latent variable models
JM Ogarrio, P Spirtes, J Ramsey
Conference on probabilistic graphical models, 368-379, 2016
Actual causation: a stone soup essay
C Glymour, D Danks, B Glymour, F Eberhardt, J Ramsey, R Scheines, ...
Synthese 175 (2), 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 Discovery from Heterogeneous/Nonstationary Data.
B Huang, K Zhang, J Zhang, JD Ramsey, R Sanchez-Romero, C Glymour, ...
J. Mach. Learn. Res. 21 (89), 1-53, 2020
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
Automated remote sensing with near infrared reflectance spectra: Carbonate recognition
J Ramsey, P Gazis, T Roush, P Spirtes, C Glymour
Data mining and knowledge discovery 6 (3), 277-293, 2002
Scoring Bayesian networks of mixed variables
B Andrews, J Ramsey, GF Cooper
International journal of data science and analytics 6 (1), 3-18, 2018
Causal clustering for 1-factor measurement models
E Kummerfeld, J Ramsey
Proceedings of the 22nd ACM SIGKDD international conference on knowledge …, 2016
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
A scalable conditional independence test for nonlinear, non-Gaussian data
JD Ramsey
arXiv preprint arXiv:1401.5031, 2014
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
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