Hirotugu Akaike
Japanese statistician / From Wikipedia, the free encyclopedia
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Hirotsugu Akaike (赤池 弘次, Akaike Hirotsugu, IPA: [akaike çiɾotsɯɡɯ], November 5, 1927 – August 4, 2009) was a Japanese statistician.[1] In the early 1970s, he formulated the Akaike information criterion (AIC). AIC is now widely used for model selection, which is commonly the most difficult aspect of statistical inference; additionally, AIC is the basis of a paradigm for the foundations of statistics. Akaike also made major contributions to the study of time series. As well, he had a large role in the general development of statistics in Japan.
Quick Facts Hirotsugu Akaike, Born ...
Hirotsugu Akaike | |
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赤池 弘次 | |
Born | November 5, 1927 |
Died | August 4, 2009(2009-08-04) (aged 81) |
Nationality | Japanese |
Occupation | Statistician |
Known for | Akaike information criterion |
Notable work | Statistical analysis and control of dynamic systems |
Awards | See Awards, honors, and related |
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