Richardson, Thomas S.

22 publications

AISTATS 2022 A Bayesian Model for Online Activity Sample Sizes Thomas S. Richardson, Yu Liu, James Mcqueen, Doug Hains

UAI 2018 Acyclic Linear SEMs Obey the Nested Markov Property Ilya Shpitser, Robin J. Evans, Thomas S. Richardson

UAI 2015 A Finite Population Likelihood Ratio Test of the Sharp Null Hypothesis for Compliers Wen Wei Loh, Thomas S. Richardson

UAI 2013 Sparse Nested Markov Models with Log-Linear Parameters Ilya Shpitser, Robin J. Evans, Thomas S. Richardson, James M. Robins

UAI 2012 Nested Markov Properties for Acyclic Directed Mixed Graphs Thomas S. Richardson, James M. Robins, Ilya Shpitser

UAI 2011 An Efficient Algorithm for Computing Interventional Distributions in Latent Variable Causal Models Ilya Shpitser, Thomas S. Richardson, James M. Robins

UAI 2011 Learning High-Dimensional DAGs with Latent and Selection Variables (Abstract) Diego Colombo, Marloes H. Maathuis, Markus Kalisch, Thomas S. Richardson

UAI 2010 Maximum Likelihood Fitting of Acyclic Directed Mixed Graphs to Binary Data Robin J. Evans, Thomas S. Richardson

UAI 2009 A Factorization Criterion for Acyclic Directed Mixed Graphs Thomas S. Richardson

JMLR 2009 Computing Maximum Likelihood Estimates in Recursive Linear Models with Correlated Errors Mathias Drton, Michael Eichler, Thomas S. Richardson

IJCAI 2009 Testing Edges by Truncations Ilya Shpitser, Thomas S. Richardson, James M. Robins

JMLR 2008 Graphical Methods for Efficient Likelihood Inference in Gaussian Covariance Models Mathias Drton, Thomas S. Richardson

UAI 2005 Towards Characterizing Markov Equivalence Classes for Directed Acyclic Graphs with Latent Variables Ayesha R. Ali, Thomas S. Richardson, Peter Spirtes, Jiji Zhang

UAI 2004 Iterative Conditional Fitting for Gaussian Ancestral Graph Models Mathias Drton, Thomas S. Richardson

UAI 2003 A New Algorithm for Maximum Likelihood Estimation in Gaussian Graphical Models for Marginal Independence Mathias Drton, Thomas S. Richardson

UAI 2002 Markov Equivalence Classes for Maximal Ancestral Graphs Ayesha R. Ali, Thomas S. Richardson

UAI 2001 Cross-Covariance Modelling via DAGs with Hidden Variables Jacob A. Wegelin, Thomas S. Richardson

AISTATS 1999 Boosting Methodology for Regression Problems Greg Ridgeway, David Madigan, Thomas S. Richardson

AISTATS 1997 A Note on Cyclic Graphs and Dynamical Feedback Systems Thomas S. Richardson, Peter Spirtes, Clark Glymour

AISTATS 1997 A Polynomial Time Algorithm for Determining DAG Equivalence in the Presence of Latent Variables and Selection Bias Peter Spirtes, Thomas S. Richardson

AISTATS 1997 Extensions of Undirected and Acyclic, Directed Graphical Models Thomas S. Richardson

UAI 1995 Causal Inference in the Presence of Latent Variables and Selection Bias Peter Spirtes, Christopher Meek, Thomas S. Richardson