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Seymour Geisser (1929 – 2004) was a statistician noted for emphasizing the role of prediction in statistical inference — see predictive inference. In his book Predictive Inference: An Introduction, he held that conventional statistical inference about unobservable population parameters amounts to inference about things that do not exist, following the work of Bruno de Finetti. He also pioneered the theory of cross-validation.

He testified as an expert on interpretation of DNA evidence in more than 100 civil and criminal trials. He held that prosecutors often relied on flawed statistical models. On that topic, he wrote "Statistics, Litigation and Conduct Unbecoming" in the book Statistical Science in the Courtroom, edited by Joe Gastwirth (Springer Verlag, 2000).

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