Contributions of Professor Hirotugu Akaike in Statistical Science

2008/01/01 by Genshiro Kitagawa · 1 citation
Computer Science · Engineering · Mathematics · #Akaike information criterion #Anomaly Detection Techniques and Applications #Bayes factor #Bayes' theorem #Bayesian information criterion #Bayesian probability #Computer science #Domain (mathematical analysis) #Fault Detection and Control Systems #Geology #Mathematics #Series (stratigraphy) #Statistical analysis #Statistical model #Statistics #Time Series Analysis and Forecasting #Time domain

paper · pdf · doi:10.14490/jjss.38.119

openalex publication_date 2008/01/01 · openalex created_date 2025/10/10 · openalex updated_date 2025/11/06

Abstract

Prof. Akaike made significant contributions in various fields of statistical science, in particular, in time series analysis in frequency domain and time domain, information criterion and Bayes modeling. In this article, his research contributions are described in order of launching period, frequency time domain analysis, time domain time series modeling, AIC and statistical modeling, and Bayes modeling.

Citations

• A Bayesian extension of the minimum AIC procedure of autoregressive model fitting
• A new look at the statistical model identification
• On a New Method of Graduation
• Selected Papers of Hirotugu Akaike
• Factor Analysis and AIC
• Fitting autoregressive models for prediction

Cited by

• Hirotugu Akaike [wikipedia]

Related

• Elements of the Theory of Probability and Mathematical Statistics
• Lectures on Statistics in Theory: Prelude to Statistics in Practice
• Bayesian nonparametric statistics, St-Flour lecture notes
• Linear, Machine Learning and Probabilistic Approaches for Time Series Analysis
• Research frontiers in ambit stochastics: In memory of Ole E. Barndorff-Nielsen