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What is the Akaike information criteria?

Akaike information criterion. The Akaike information criterion (AIC) is an estimator of the relative quality of statistical models for a given set of data. Given a collection of models for the data, AIC estimates the quality of each model, relative to each of the other models. Thus, AIC provides a means for model selection.

What is Hirotsugu Akaike famous for?

Hirotugu Akaike (赤池 弘次 Akaike Hirotsugu; IPA: [akaike çiɾotsɯɡɯ]) (November 5, 1927 – August 4, 2009) was a Japanese statistician. 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;

What is the Akaike Memorial Lecture?

The Akaike Memorial Lecture was founded to honor Akaike's legacy. The Lecture is biennial, and is sponsored jointly by the Institute of Statistical Mathematics and the Japan Statistical Society. On 5 November 2017, Google Doodle commemorated his 90th birthday.

Where did Akaike study mathematics?

Akaike graduated with a bachelor's degree from the School of Science at the University of Tokyo, in 1952. He then became a researcher at the Institute of Statistical Mathematics. In 1961, obtained his Doctor of Science, in mathematics, from the University of Tokyo.

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