Joseph D. Ramsey
Affiliations:- Carnegie Mellon University, Department of Philosophy, Pittsburgh, PA, USA
According to our database1,
Joseph D. Ramsey
authored at least 42 papers
between 2002 and 2024.
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Bibliography
2024
Choosing DAG Models Using Markov and Minimal Edge Count in the Absence of Ground Truth.
CoRR, 2024
2023
Fast Scalable and Accurate Discovery of DAGs Using the Best Order Score Search and Grow Shrink Trees.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Py-Tetrad and RPy-Tetrad: A New Python Interface with R Support for Tetrad Causal Search.
Proceedings of the Causal Analysis Workshop Series, 2023
2022
Proceedings of the Uncertainty in Artificial Intelligence, 2022
2021
CoRR, 2021
CoRR, 2021
Affect, Support and Personal Factors: Multimodal Causal Models of One-on-one Coaching.
Proceedings of the 14th International Conference on Educational Data Mining, 2021
2020
2019
Diagnosis of Autism Spectrum Disorder by Causal Influence Strength Learned from Resting-State fMRI Data.
CoRR, 2019
Mixed graphical models for integrative causal analysis with application to chronic lung disease diagnosis and prognosis.
Bioinform., 2019
Proceedings of the 2019 ACM SIGKDD Workshop on Causal Discovery, 2019
2018
Comparison of strategies for scalable causal discovery of latent variable models from mixed data.
Int. J. Data Sci. Anal., 2018
Causal Discovery with Linear Non-Gaussian Models under Measurement Error: Structural Identifiability Results.
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018
2017
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.
Int. J. Data Sci. Anal., 2017
A Comparison of Public Causal Search Packages on Linear, Gaussian Data with No Latent Variables.
CoRR, 2017
CoRR, 2017
Discovery of Causal Models that Contain Latent Variables Through Bayesian Scoring of Independence Constraints.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017
2016
CoRR, 2016
Proceedings of the UAI 2016 Workshop on Causation: Foundation to Application co-located with the 32nd Conference on Uncertainty in Artificial Intelligence (UAI 2016), 2016
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
2015
2014
Non-Gaussian methods and high-pass filters in the estimation of effective connections.
NeuroImage, 2014
CoRR, 2014
2013
Brain Connect., 2013
2011
Multi-subject search correctly identifies causal connections and most causal directions in the DCM models of the Smith et al. simulation study.
NeuroImage, 2011
2010
2008
INFORMS J. Comput., 2008
Proceedings of the UAI 2008, 2008
Proceedings of the UAI 2008, 2008
2006
Proceedings of the UAI '06, 2006
2002
Intell. Data Anal., 2002
Automated Remote Sensing with Near Infrared Reflectance Spectra: Carbonate Recognition.
Data Min. Knowl. Discov., 2002