Seymour Geisser (October 5, 1929 – March 11, 2004) was an American statistician noted for emphasizing 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.
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1929
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Died |
11 March 2004 (aged 74)
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