Google on Sunday paid tribute to Japanese statistician Hirotugu Akaike on his 90th birthday with a doodle on its homepage.The doodle featured a portrait of Dr Akaike against the backdrop of an approximation of functions, parameters, and their respective curves. Dr Hirotugu Akaik had, in the 1970s, formulated the Akaike Information Criterion (AIC), which is a criterion for model selection in statistics. Formulation of AIC was heralded as a very new paradigm of statistical modelling. It was set apart and was completely different from traditional statistical theory. The Akaike paradigm greatly influenced a broad area of research in statistics.
Here are some amazing facts about him
- Dr Hirotugu Akaike was born on November 5, 1927 in Japan’s Shizuoka Prefecture and died on August 8, 2009 of pneumonia in Ibaraki Prefecture.
- For Dr. Hirotugu Akaike’s huge contribution to statistical science, Hirotugu Akaike was awarded the Kyoto Prize, which is Japan’s highest private award for global achievement,in 2006.
- He was also awarded the Purple Ribbon Medal and the Asahi Prize, which are two of the highest honours in culture and science in Japan.
- He joined the Institute of Statistical Mathematics after completing his graduation; the institute was founded by the Japanese government where he was Director of the institute’s Fifth Division, concerned with time series analysis and control, from 1973 until 1985. In 1987, he became Director General of the Institute, the position from which he retired on March 31, 1994.
- Dr. Hirotugu Akaike held visiting positions at a number of universities: Princeton (1966-1967), Stanford (1967, 1979), Hawaii (1972), the University of Manchester Institute of Science and Technology (1973), Harvard (Vinton Hayes Senior Fellow in Engineering and Applied Physics, 1976), Wisconsin-Madison (Mathematics Research Center, 1982) and several Japanese universities.
- Dr. Akaike was never satisfied with his past achievements and always tried new research collaborated with diverse areas.
- In the early 1970’s, Dr. Hirotugu Akaike formulated the Akaike Information Criterion (AIC), a new practical, yet versatile criterion for the selection of statistical models, based on basic concepts of information mathematics. This criterion established a new paradigm that bridged the world of data and the world of modeling, thus contributing greatly to the information and statistical sciences,” said the 2006 Kyoto Prize citation.