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| Name |
Reid, Nancy M. |
| Location
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University of Toronto |
| Primary Field
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Applied Mathematical Sciences |
 Election Citation
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Reid is the leading theoretical statistician in Canada and recognized world-wide for her contributions to likelihood theory, ancillarity and conditionality, and to higher-order asymptotics. Her early work on influence functions in survival analysis remains a cornerstone for the developments that occurred throughout the 1980s. |
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Research Interests
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Nancy Reid's research emphasizes the use of asymptotic expansions to suggest more accurate approximations to standard statistical quantities, both for use in applications, and as a means to study theoretical aspects of the foundations of inference. This research has shed light on the interface between Bayesian and frequentist methods, showing in particular that except in special cases, Bayesian and frequentist inference cannot agree exactly, unless one permits the use of data-dependent priors. Her current interests include the use of various types of pseudo-likelihoods for inference from data with complex structure, particularly the use of composite likelihood for simplifying inference in models with potentially complex dependencies. She and her students and colleagues are studying both the theoretical properties of various proposals, and the interconnections among them. Her applied areas of interest include environmental epidemiology, design of experiments, and inference from large-scale surveys. She has a long-standing interest in conveying statistical arguments to the lay public, and the importance of using data to inform public policy. |
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