Videos that show you how to use our tools and give you
The Center for Causal Discovery has released the newest version of its causal discovery software based on Tetrad (Version 6.7). Associated command-line, Python and R implementations also inherit algorithm updates. Please note that previous saved sessions will not load in this new version. What’s New in Tetrad 6.7.0 Can override […]
Center for Causal Discovery University of Pittsburgh, Carnegie Mellon University, Pittsburgh Supercomputing Center and Yale University Title: Applying graphical causal models to the study of Pseudomonas aeruginosa pathoadaptation during cystic fibrosis chronic rhinosinusitis Speaker: Catherine R. Armbruster – Postdoctoral Scholar, The Laboratory of Jennifer M. Bomberger, Department of Microbiology and […]
Center for Causal Discovery Distinguished Lecture in Causal Discovery University of Pittsburgh, Carnegie Mellon University, Pittsburgh Supercomputing Center and Yale University Jonas Peters, PhD, Associate Professor of Statistics, Department of Mathematical Sciences, University of Copenhagen (Denmark), “Invariance and Causality” at 11:00 am on Thursday, May 17, 2018, in Rooms […]