Leonard J. Savage was a prominent statistician known for his significant contributions to the field of Bayesian statistics, particularly in decision theory and subjective probability. His work helped lay the foundation for the formalization of Bayesian methods, including the concept of prior distributions, which are critical in shaping how statistical inferences are made based on prior beliefs and observed data.
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