1071) Seymour Geisser

Seymour Geisser (1929 – 2004). 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.
With Samuel Greenhouse, he developed the Greenhouse–Geisser correction, which is now widely used in the analysis of variance to correct for violations of the assumption of compound symmetry.
He testified as an expert on interpretation of DNA evidence in more than 100 civil and criminal trials. 
In 1971, he founded the School of Statistics at the University of Minnesota, of which he was the Director for more than 30 years.

- "He was fresh from the City College of New York, had spent a summer working in Washington and possessed bright red hair."  https://books.google.it/books…

- "Were you a person of large temper, because you had red hair?"  https://arxiv.org/pdf/0804.3243.pdf