Thomas S. Richardson
Title
Cited by
Cited by
Year
Causation, prediction, and search
P Spirtes, CN Glymour, R Scheines, D Heckerman
MIT press, 2000
77592000
Ancestral graph Markov models
T Richardson, P Spirtes
The Annals of Statistics 30 (4), 962-1030, 2002
5242002
Chain graph models and their causal interpretations
SL Lauritzen, TS Richardson
Journal of the Royal Statistical Society: Series B (Statistical Methodologyá…, 2002
2562002
Learning high-dimensional directed acyclic graphs with latent and selection variables
D Colombo, MH Maathuis, M Kalisch, TS Richardson
The Annals of Statistics, 294-321, 2012
2292012
The TETRAD project: Constraint based aids to causal model specification
R Scheines, P Spirtes, C Glymour, C Meek, T Richardson
Multivariate Behavioral Research 33 (1), 65-117, 1998
2121998
An evaluation of machine-learning methods for predicting pneumonia mortality
GF Cooper, CF Aliferis, R Ambrosino, J Aronis, BG Buchanan, R Caruana, ...
Artificial intelligence in medicine 9 (2), 107-138, 1997
2101997
Demystifying optimal dynamic treatment regimes
EEM Moodie, TS Richardson, DA Stephens
Biometrics 63 (2), 447-455, 2007
2082007
Single world intervention graphs (SWIGs): A unification of the counterfactual and graphical approaches to causality
TS Richardson, JM Robins
Center for the Statistics and the Social Sciences, University of Washingtoná…, 2013
1832013
Markov properties for acyclic directed mixed graphs
T Richardson
Scandinavian Journal of Statistics 30 (1), 145-157, 2003
1752003
Causal inference in the presence of latent variables and selection bias
PL Spirtes, C Meek, TS Richardson
arXiv preprint arXiv:1302.4983, 2013
1742013
Alternative graphical causal models and the identification of direct effects
JM Robins, TS Richardson
Causality and psychopathology: Finding the determinants of disorders andá…, 2010
1652010
A discovery algorithm for directed cyclis graphs
TS Richardson
arXiv preprint arXiv:1302.3599, 2013
1592013
Using path diagrams as a structural equation modeling tool
P Spirtes, T Richardson, C Meek, R Scheines, C Glymour
Sociological Methods & Research 27 (2), 182-225, 1998
1511998
TETRAD 3: Tools for Causal Modeling–User’s Manual
R Scheines, P Spirtes, C Glymour, C Meek, T Richardson
CMU Philosophy, 1996
1321996
Estimation of a covariance matrix with zeros
S Chaudhuri, M Drton, TS Richardson
Biometrika 94 (1), 199-216, 2007
1312007
Boosting methodology for regression problems
G Ridgeway, D Madigan, T Richardson
Seventh International Workshop on Artificial Intelligence and Statistics, 2020
1272020
Interpretable boosted na´ve bayes classification.
G Ridgeway, D Madigan, T Richardson, J O'Kane
KDD, 101-104, 1998
1161998
Covariate selection for the nonparametric estimation of an average treatment effect
X De Luna, I Waernbaum, TS Richardson
Biometrika 98 (4), 861-875, 2011
1082011
An algorithm for causal inference in the presence of latent variables and selection bias
P Spirtes, C Meek, T Richardson
Computation, causation, and discovery 21, 1-252, 1999
1051999
Rest-inserted loading rapidly amplifies the response of bone to small increases in strain and load cycles
S Srinivasan, BJ Ausk, SL Poliachik, SE Warner, TS Richardson, ...
Journal of applied physiology 102 (5), 1945-1952, 2007
902007
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Articles 1–20