Thomas S. Richardson

University of Washington — United States

Computer Science · Physical Sciences

30h-index3.7kcitations134works0.22yr avg
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Research Topics

Bayesian Modeling and Causal Inference(55), Advanced Causal Inference Techniques(53), Statistical Methods and Inference(50), Statistical Methods and Bayesian Inference(38), Statistical Methods in Clinical Trials(19)

Publications134 total

Rank‐based estimation of propensity score weights via subclassification
Canadian Journal of Statistics·2025Open Access
Individual Treatment Effect: Prediction Intervals and Sharp Bounds
arXiv (Cornell University)·2025Open Access
Online activity prediction via generalized Indian buffet process models
arXiv (Cornell University)·2025Open Access
The Categorical Instrumental Variable Model: Characterization, Partial Identification, and Statistical Inference
arXiv (Cornell University)·2024Open Access
Bounds on the Distribution of a Sum of Two Random Variables: Revisiting a problem of Kolmogorov with application to Individual Treatment Effects
arXiv (Cornell University)·2024Open Access
Thomas S. Richardson and James M. Robins’ contribution to the Discussion of ‘Parameterizing and simulating from causal models’ by Evans and Didelez
Journal of the Royal Statistical Society Series B (Statistical Methodology)·2024· 1 citedOpen Access
A Nonparametric Bayes Approach to Online Activity Prediction
arXiv (Cornell University)·2024Open Access
Assumptions and Bounds in the Instrumental Variable Model
arXiv (Cornell University)·2024· 1 citedOpen Access
Specification Searches Using MAG Models
SSRN Electronic Journal·2024Open Access
Experimental Design in Marketplaces
Statistical Science·2023· 11 cited
Potential Outcome and Decision Theoretic Foundations for Statistical Causality
arXiv (Cornell University)·2023Open Access
Nested Markov properties for acyclic directed mixed graphs
The Annals of Statistics·2023· 18 citedOpen Access
Potential outcome and decision theoretic foundations for statistical causality
Journal of Causal Inference·2023· 7 citedOpen Access
Thomas S. Richardson’s Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes
Journal of the Royal Statistical Society Series B (Statistical Methodology)·2022Open Access
Coherent Modeling of Longitudinal Causal Effects on Binary Outcomes
Biometrics·2022· 1 cited
Multivariate Counterfactual Systems and Causal Graphical Models
ACM eBooks·2022· 21 cited
An Interventionist Approach to Mediation Analysis
ACM eBooks·2022· 44 cited
Multiplicative effect modelling: the general case
Biometrika·2021· 5 cited
Replication Data for: Coherent modeling of longitudinal causal effects on binary outcomes
Harvard Dataverse·2021· 1 citedOpen Access
Discussion of ‘Estimating time-varying causal excursion effects in mobile health with binary outcomes’
Biometrika·2021· 4 citedOpen Access
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Frequent Co-authors

James M. Robins(17), Ilya Shpitser(8), Mathias Drton(5), Linbo Wang(5), Robin J. Evans(5), Peter Spirtes(4), Erica E. M. Moodie(2), Richard Scheines(2), Clark Glymour(2), Christopher Meek(2), Greg Ridgeway(2), David Madigan(2), Sundar Srinivasan(2), Brandon J. Ausk(2), Ted S. Gross(2), Preetam Nandy(2), Marloes H. Maathuis(2), Xiao‐Hua Zhou(2), Steffen L. Lauritzen(1), David A. Stephens(1)