University of Cambridge (emeritus)
For his landmark paper on conditional independence that provided the mathematical foundation for modern applied model-based statistical methods; for novel approaches, including prequential analysis for sequential forecasting, proper scoring rules for probability assessment, and decision-theoretic frameworks for causal inference; and for influencing fields beyond statistics, including artificial intelligence, information theory, and the foundations of probability.
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If you are interested in supporting the ASA's effort to increase the size of the award through a possible matching donation, email ASA Director of Development Amanda Malloy.
This award honors the contributions of David R. Cox to the foundations of statistical inference, experimental design, and data analysis. It was established in 2022 to promote research and teaching that illuminates conceptual, theoretical, philosophical, and historical perspectives on statistical science and to advance understanding of comparative approaches to the interpretation and communication of statistical data.
The honoree will receive a $2,000 honorarium and up to $1,000 toward travel expenses to present a lecture at JSM.
The award will be for a paper, monograph, book, or cumulative research. Anyone who has made noteworthy contributions to statistics in the spirit of Cox’s contributions as outlined above may be nominated.
The award recipient is responsible for providing a current photograph and general personal information the year the award is presented. The American Statistical Association uses this information to publicize the award and prepare the check and certificate.
Nominations are due by December 1 and require the following:
Please contact the committee chair.
Note: The David Cox Foundations of Statistics Award will be given biennially to start, but will be given annually when funding is sufficient. Interested in contributing to this award? Contact ASA Director of Development Amanda Malloy.
2023: Nancy Reid