Thomas S. Richardson

Thomas S. Richardson

University of Washington

H-index: 43

North America-United States

About Thomas S. Richardson

Thomas S. Richardson, With an exceptional h-index of 43 and a recent h-index of 29 (since 2020), a distinguished researcher at University of Washington, specializes in the field of Causality, Counterfactuals, Graphical Models.

His recent articles reflect a diverse array of research interests and contributions to the field:

Improved prediction of future user activity in online A/B testing

A Nonparametric Bayes Approach to Online Activity Prediction

Assumptions and bounds in the instrumental variable model

Multiple Randomization Designs: Estimation and Inference with Interference

Thomas S. Richardson and James M. Robins’ contribution to the Discussion of ‘Parameterizing and Simulating from Causal Models’ by Evans and Didelez’

Efficient switchback experiments via multiple randomization designs

The Role of Exchangeability in Causal Inference.................................... Olli Saarela, David A. Stephens and Erica EM Moodie 369 Aitchison’s Compositional Data …

Experimental design in marketplaces

Thomas S. Richardson Information

University

Position

___

Citations(all)

7999

Citations(since 2020)

3495

Cited By

14074

hIndex(all)

43

hIndex(since 2020)

29

i10Index(all)

93

i10Index(since 2020)

56

Email

University Profile Page

University of Washington

Google Scholar

View Google Scholar Profile

Thomas S. Richardson Skills & Research Interests

Causality

Counterfactuals

Graphical Models

Top articles of Thomas S. Richardson

Title

Journal

Author(s)

Publication Date

Improved prediction of future user activity in online A/B testing

arXiv preprint arXiv:2402.03231

Lorenzo Masoero

Mario Beraha

Thomas Richardson

Stefano Favaro

2024/2/5

A Nonparametric Bayes Approach to Online Activity Prediction

arXiv preprint arXiv:2401.14722

Mario Beraha

Lorenzo Masoero

Stefano Favaro

Thomas S Richardson

2024/1/26

Assumptions and bounds in the instrumental variable model

arXiv preprint arXiv:2401.13758

Thomas S Richardson

James M Robins

2024/1/24

Multiple Randomization Designs: Estimation and Inference with Interference

arXiv preprint arXiv:2401.01264

Lorenzo Masoero

Suhas Vijaykumar

Thomas Richardson

James McQueen

Ido Rosen

...

2024/1/2

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

TS Richardson

JM Robins

2024/2/23

Efficient switchback experiments via multiple randomization designs

Lorenzo Masoero

Guido Imbens

Thomas Richardson

James McQueen

Suhas Vijaykumar

...

2023

The Role of Exchangeability in Causal Inference.................................... Olli Saarela, David A. Stephens and Erica EM Moodie 369 Aitchison’s Compositional Data …

Statistical Science [ISSN 0883-4237 (print); ISSN 2168-8745 (online)]

Dag Tjøstheim

Martin Jullum

Anders Løland

Lorenzo Masoero

James McQueen

...

2023/8

Experimental design in marketplaces

Statistical Science

Patrick Bajari

Brian Burdick

Guido W Imbens

Lorenzo Masoero

James McQueen

...

2023/8

THE ANNALS

The Annals of Probability

PETER K FRIZ

PAVEL ZORIN-KRANICH

XIN CHEN

XUEMEI LI

BO WU

...

2023/3

Nested Markov properties for acyclic directed mixed graphs

The Annals of Statistics

Thomas S Richardson

Robin J Evans

James M Robins

Ilya Shpitser

2023/2

Improving precision in clustered experiments

Guido Imbens

Lorenzo Masoero

James McQueen

Thomas Richardson

Ido Rosen

...

2023

Potential outcome and decision theoretic foundations for statistical causality

Journal of Causal Inference

Thomas S Richardson

James M Robins

2023/10/25

Multivariate counterfactual systems and causal graphical models

Ilya Shpitser

Thomas S Richardson

James M Robins

2022/2/28

An interventionist approach to mediation analysis

James M Robins

Thomas S Richardson

Ilya Shpitser

2022/2/28

The m-connecting imset and factorization for ADMG models

arXiv preprint arXiv:2207.08963

Bryan Andrews

Gregory F Cooper

Thomas S Richardson

Peter Spirtes

2022/7/18

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

Thomas S Richardson

2022/7

Multiplicative effect modelling: the general case

Biometrika

Jiaqi Yin

Sonia Markes

Thomas S Richardson

Linbo Wang

2022/6/1

A bayesian model for online activity sample sizes

Thomas S Richardson

Yu Liu

James McQueen

Doug Hains

2022/5/3

Discussion of'Estimating time-varying causal excursion effect in mobile health with binary outcomes' by T. Qian et al

arXiv preprint arXiv:2103.02323

F Richard Guo

Thomas S Richardson

James M Robins

2021/3/3

Multiple randomization designs

arXiv preprint arXiv:2112.13495

Patrick Bajari

Brian Burdick

Guido W Imbens

Lorenzo Masoero

James McQueen

...

2021/12/27

See List of Professors in Thomas S. Richardson University(University of Washington)

Co-Authors

H-index: 131
James M. Robins

James M. Robins

Harvard University

H-index: 56
Steffen Lauritzen

Steffen Lauritzen

Københavns Universitet

H-index: 55
Greg Ridgeway

Greg Ridgeway

University of Pennsylvania

H-index: 40
Mathias Drton

Mathias Drton

Technische Universität München

H-index: 37
Richard Scheines

Richard Scheines

Carnegie Mellon University

H-index: 17
Robin Evans

Robin Evans

University of Oxford

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