Tetrad 6.6.0 and 6.7.0 Release

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 […]

Special Lecture – Catherine R. Armbruster

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 […]

Distinguished Lecture in Causal Discovery – Dr. Jonas Peters

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 […]

Tetrad 6.4 Release

The Center for Causal Discovery has released the newest version of its causal discovery software, Tetrad (Version 6.4) and causal command command-line program (Version 0.3).  The focus on this release for Tetrad has been adding additional algorithms, an algorithm chooser, bootstrap for estimating edge probabilities to all algorithms.  There are […]

Distinguished Lecture in Causal Discovery – Dr. Joris M. Mooij

Center for Causal Discovery Distinguished Lecture in Causal Discovery University of Pittsburgh, Carnegie Mellon University, Pittsburgh Supercomputing Center and Yale University Joris M. Mooij, PhD, Associate Professor, Informatics Institute, University of Amsterdam (the Netherlands), “Validating Causal Discovery Methods” at 11:00 am on Thursday, April 19, 2018, in Rooms 407A/B BAUM, […]

Distinguished Lecture in Causal Discovery – David Jensen

Center for Causal Discovery Distinguished Lecture in Causal Discovery University of Pittsburgh, Carnegie Mellon University, Pittsburgh Supercomputing Center and Yale University David Jensen, DSc, Professor, College of Information and Computer Sciences, University of Massachusetts Amherst, “The Case for Empirical Evaluation of Methods for Causal Modeling” at 11:00 am on Thursday, […]