Causal Clustering for 1-Factor Measurement Models

Por Kummerfeld, Erich, Ramsey, Joseph
Publicado no KDD (2016)

Measurement Error and Causal Discovery

Por Scheines, Richard, Ramsey, Joseph
Publicado no CEUR Workshop Proc (2017)

Scoring Bayesian Networks of Mixed Variables

Por Andrews, Bryan, Ramsey, Joseph, Cooper, Gregory F.
Publicado no Int J Data Sci Anal (2018)

Learning High-dimensional Directed Acyclic Graphs with Mixed Data-types

Por Andrews, Bryan, Ramsey, Joseph, Cooper, Gregory F.
Publicado no Proc Mach Learn Res (2019)

Discovery of Causal Models that Contain Latent Variables through Bayesian Scoring of Independence Constraints

Por Jabbari, Fattaneh, Ramsey, Joseph, Spirtes, Peter, Cooper, Gregory
Publicado no Mach Learn Knowl Discov Databases (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 resonan...

Por Ramsey, Joseph, Glymour, Madelyn, Sanchez-Romero, Ruben, Glymour, Clark
Publicado no Int J Data Sci Anal (2016)

Self-injurious behaviors in rhesus macaques: potential glial mechanisms

Por Ramsey, Joseph, Martin, Elizabeth C., Purcell, Olivia M., Lee, Kim M., MacLean, Andrew G.
Publicado no J Intellect Disabil Res (2018)

Estimating feedforward and feedback effective connections from fMRI time series: Assessments of statistical methods

Por Sanchez-Romero, Ruben, Ramsey, Joseph D., Zhang, Kun, Glymour, Madelyn R. K., Huang, Biwei, Glymour, Clark
Publicado no Netw Neurosci (2019)

Optical Coherence Tomography Machine Learning Classifiers for Glaucoma Detection: A Preliminary Study

Por Burgansky-Eliash, Zvia, Wollstein, Gadi, Chu, Tianjiao, Ramsey, Joseph D., Glymour, Clark, Noecker, Robert J., Ishikawa, Hiroshi, Schuman, Joel S.
Publicado em 2005

Translating a gene expression signature for multiple myeloma prognosis into a robust high-throughput assay for clinical use

Por van Laar, Ryan, Flinchum, Rachel, Brown, Nathan, Ramsey, Joseph, Riccitelli, Sam, Heuck, Christoph, Barlogie, Bart, Shaughnessy Jr, John D
Publicado em 2014

Comparison of strategies for scalable causal discovery of latent variable models from mixed data

Por Raghu, Vineet K., Ramsey, Joseph D., Morris, Alison, Manatakis, Dimitrios V., Sprites, Peter, Chrysanthis, Panos K., Glymour, Clark, Benos, Panayiotis V.
Publicado no Int J Data Sci Anal (2018)

Mixed graphical models for integrative causal analysis with application to chronic lung disease diagnosis and prognosis

Por Sedgewick, Andrew J, Buschur, Kristina, Shi, Ivy, Ramsey, Joseph D, Raghu, Vineet K, Manatakis, Dimitris V, Zhang, Yingze, Bon, Jessica, Chandra, Divay, Karoleski, Chad, Sciurba, Frank C, Spirtes, Peter, Glymour, Clark, Benos, Panayiotis V
Publicado no Bioinformatics (2019)