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International Journal of Data Science and Analytics|August 25, 2018
Scoring Bayesian Networks of Mixed VariablesBryan Andrews, Joseph Ramsey, Gregory F Cooper
Arxiv|January 10, 2024
Causal Discovery for fMRI data: Challenges, Solutions, and a Case StudyEric Rawls, Bryan Andrews, Kelvin Lim, et al.
Alcohol, Clinical & Experimental Research|May 22, 2025
Correlational and causal modeling of alcohol-related symptoms and internalizing disorder status: Further elucidation of a harm paradoxJustin Anker, Bryan Andrews, Erich Kummerfeld, et al.
Advances in Neural Information Processing Systems|September 16, 2024
Fast Scalable and Accurate Discovery of DAGs Using the Best Order Score Search and Grow-Shrink TreesBryan Andrews, Joseph Ramsey, Rubén Sánchez-Romero, et al.
Biorxiv : the Preprint Server for Biology|May 7, 2026
The Phenotypic Landscape of a Circadian ClockSoo Ji Kim, Diane Schnitkey, Bryan Andrews, et al.
Journal of Studies on Alcohol and Drugs|July 9, 2026
Evidence for a Shared Vulnerability to Both Anxiety/Depression ("Internalizing") Disorder and Alcohol-Related ProblemsMatt G Kushner, Justin J Anker, Paul Thuras, et al.
Network Neuroscience (Cambridge, Mass.)|February 23, 2019
Estimating feedforward and feedback effective connections from fMRI time series: Assessments of statistical methodsRuben Sanchez-Romero, Joseph D Ramsey, Kun Zhang, et al.
Investigative Ophthalmology & Visual Science|October 27, 2005
Optical coherence tomography machine learning classifiers for glaucoma detection: a preliminary studyZvia Burgansky-Eliash, Gadi Wollstein, Tianjiao Chu, et al.
International Journal of Data Science and Analytics|August 28, 2018
Comparison of strategies for scalable causal discovery of latent variable models from mixed dataVineet K Raghu, Joseph D Ramsey, Alison Morris, et al.
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