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Thomas S Richardson

Showing results (1-10 of 19) with videos related to

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Journal of the Royal Statistical Society. Series B, Statistical Methodology|September 3, 2013
Marginal log-linear parameters for graphical Markov modelsRobin J Evans, Thomas S Richardson
Annals of Statistics|January 2, 2015
GENERAL THEORY FOR INTERACTIONS IN SUFFICIENT CAUSE MODELS WITH DICHOTOMOUS EXPOSURESTyler J VanderWeele, Thomas S Richardson
Scandinavian Journal of Statistics, Theory and Applications|June 8, 2010
Estimating Optimal Dynamic Regimes: Correcting Bias under the Null: [Optimal dynamic regimes: bias correction]Erica E M Moodie, Thomas S Richardson
Biometrika|March 6, 2018
On falsification of the binary instrumental variable modelLinbo Wang, James M Robins, Thomas S Richardson
Biometrika|February 13, 2018
Identification and estimation of causal effects with outcomes truncated by deathLinbo Wang, Xiao-Hua Zhou, Thomas S Richardson
Journal of the Royal Statistical Society. Series B, Statistical Methodology|May 2, 2017
Causal analysis of ordinal treatments and binary outcomes under truncation by deathLinbo Wang, Thomas S Richardson, Xiao-Hua Zhou
Biometrics|November 3, 2017
Discussion of "Data-driven confounder selection via Markov and Bayesian networks" by HäggströmThomas S Richardson, James M Robins, Linbo Wang
Uncertainty in Artificial Intelligence : Proceedings of the ... Conference. Conference on Uncertainty in Artificial Intelligence|April 16, 2019
Acyclic Linear SEMs Obey the Nested Markov PropertyIlya Shpitser, Robin J Evans, Thomas S Richardson
Journal of the American Statistical Association|December 8, 2015
Resolving Contested Elections: The Limited Power of Post-Vote Vote-Choice DataAdam N Glynn, Thomas S Richardson, Mark S Handcock
Journal of the Royal Statistical Society. Series A, (Statistics in Society)|January 7, 2010
Alleviating Linear Ecological Bias and Optimal Design with Sub-sample DataAdam Glynn, Jon Wakefield, Mark S Handcock, et al.
Pageof 2

Showing results (1-10 of 19) with videos related to

Sort By:
Pageof 2
Journal of the Royal Statistical Society. Series B, Statistical Methodology|September 3, 2013
Marginal log-linear parameters for graphical Markov modelsRobin J Evans, Thomas S Richardson
Annals of Statistics|January 2, 2015
GENERAL THEORY FOR INTERACTIONS IN SUFFICIENT CAUSE MODELS WITH DICHOTOMOUS EXPOSURESTyler J VanderWeele, Thomas S Richardson
Scandinavian Journal of Statistics, Theory and Applications|June 8, 2010
Estimating Optimal Dynamic Regimes: Correcting Bias under the Null: [Optimal dynamic regimes: bias correction]Erica E M Moodie, Thomas S Richardson
Biometrika|March 6, 2018
On falsification of the binary instrumental variable modelLinbo Wang, James M Robins, Thomas S Richardson
Biometrika|February 13, 2018
Identification and estimation of causal effects with outcomes truncated by deathLinbo Wang, Xiao-Hua Zhou, Thomas S Richardson
Journal of the Royal Statistical Society. Series B, Statistical Methodology|May 2, 2017
Causal analysis of ordinal treatments and binary outcomes under truncation by deathLinbo Wang, Thomas S Richardson, Xiao-Hua Zhou
Biometrics|November 3, 2017
Discussion of "Data-driven confounder selection via Markov and Bayesian networks" by HäggströmThomas S Richardson, James M Robins, Linbo Wang
Uncertainty in Artificial Intelligence : Proceedings of the ... Conference. Conference on Uncertainty in Artificial Intelligence|April 16, 2019
Acyclic Linear SEMs Obey the Nested Markov PropertyIlya Shpitser, Robin J Evans, Thomas S Richardson
Journal of the American Statistical Association|December 8, 2015
Resolving Contested Elections: The Limited Power of Post-Vote Vote-Choice DataAdam N Glynn, Thomas S Richardson, Mark S Handcock
Journal of the Royal Statistical Society. Series A, (Statistics in Society)|January 7, 2010
Alleviating Linear Ecological Bias and Optimal Design with Sub-sample DataAdam Glynn, Jon Wakefield, Mark S Handcock, et al.
Pageof 2