Birth Name:

Hirotugu Akaike

Male

Birth Date:

Sat, Nov 05, 1927

Time of Birth:

Unknown (using Noon)

Place of Birth:

Fujinomiya, Shizuoka, Japan

Age:

96

Zodiac Sign:

Scorpio

Astrology Data:

Sun

11°

Sco

42'

About Hirotugu Akaike

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; 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.

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Birth Chart and Planetary Positions of Hirotugu Akaike

Astrological portrait of Hirotugu Akaike

Current important phases/events in Hirotugu Akaike’s life

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Astrological aspects and planetary data / tags for Hirotugu Akaike: Sun 11 Scorpio, Moon 13 Pisces, Mercury 22 Scorpio, Venus 26 Virgo, Mars 6 Scorpio, Jupiter 23 Pisces, Saturn 6 Sagittarius, Uranus 29 Pisces, Neptune 28 Leo, Pluto 17 Cancer, Sun Conjunct Mars, Sun Semi Square Venus, Sun Sesquiquadrate Jupiter, Mercury Sextile Venus, Mercury Trine Jupiter, Venus Opposition Jupiter, Venus Opposition Uranus, Mars Sesquiquadrate Jupiter, Mars Semi Sextile Saturn, Jupiter Conjunct Uranus, Uranus Quincunx Neptune

Categories related to Hirotugu Akaike: Fellows of the American Statistical Association, November 5 births, Fellow Members of the IEEE, 2009 deaths, Recipients of the Order of the Sacred Treasure, Fellows of the Institute of Mathematical Statistics, University of Tokyo alumni, 20th-century Japanese mathematicians, 21st-century Japanese mathematicians, Kyoto laureates in Basic Sciences, 2nd class, Shizuoka, 1927 births, Fellows of the Royal Statistical Society, People from Fujinomiya, Japanese statisticians

Photo attribution: The Institute of Statistical Mathematics, The Institute of Statistical Mathematics