Hirotugu Akaike was a renowned Japanese statistician best known for his significant contributions to statistical model selection and information theory. He was born on November 5, 1927, and passed away on August 4, 2009. Akaike's most famous contribution is the Akaike Information Criterion (AIC), which is a method for model selection that helps to estimate the quality of a statistical model relative to others.
New to topics? Read the docs here!