The Fifth Akaike Memorial Lecture will be delivered by Arnaud Doucet, a professor at the University of Oxford and a Senior Staff Research Scientist of Google DeepMind. Professor Doucet is a leading international researcher in Monte Carlo methods and their applications to Bayesian statistics and, more recently, in machine learning. With his innovative approach, Professor Doucet has achieved remarkable results in new areas as well. The award ceremony and memorial lecture will be held at the Japanese Joint Statistical Meeting (JJSM), September 1–5, 2024, which will be in a hybrid format with online and on-site participation options at the Tokyo University of Science, Japan.

The Akaike Memorial Lecture Award, launched in 2016, commemorates the achievements of the late Dr. Hirotugu Akaike, who established a novel paradigm to evaluate the predictive accuracy of statistical modeling. Dr. Akaike proposed a metric for model selection, the Akaike Information Criterion (AIC), based on an approach completely different from the statistical theories common at the time. The award is jointly managed by the Institute of Statistical Mathematics (ISM) and the Japanese Federation of Statistical Science Associations (JFSSA).

Read more about the award, Arnaud Doucet, and Hirotugu Akaike, at https://www.ism.ac.jp/ura/press/ISM2024-01_e.html.