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• Statistical science
• Economic statistics
• Survey methodology
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Hiroshi Saigo is a Professor at Waseda University's School of Political Science and Economics, where he has been serving since 1999 after progressing through the ranks from Assistant Professor (pre-1992) to Associate Professor (1992-1994). His academic career spans over three decades with a consistent focus on statistical methodology and its applications in economic surveys. Dr. Saigo earned his Master's degree in Economics from Waseda University Graduate School of Economics in 1992, with a specialization in economic theory and economic history, following undergraduate studies in the Division of Economics at Waseda University's School of Political Science and Economics completed in 1984. His research interests center on statistical science and economic statistics, with particular expertise in survey methodology, sampling theory, and bootstrap methods. Dr. Saigo has made significant contributions to official statistics, developing innovative approaches for variance estimation, handling missing data, and improving survey design. His methodological work bridges theoretical statistical advancements with practical applications in official statistics production. His extensive publication record demonstrates expertise across multiple statistical domains, with particular emphasis on bootstrap methods for complex survey designs, variance estimation techniques, and optimal allocation strategies in stratified sampling. His work shows a consistent trajectory from theoretical developments in sampling theory to practical applications in Japanese official statistics. The Canadian Statistical Society The American Statistical Association The Japanese Economic Association The Japan Statistical Society Dr. Saigo has led and participated in numerous research projects funded by the Japan Society for the Promotion of Science, including current research (2023-2027) on systematizing culture and arts statistics in Japan. His recent projects focus on detection and handling of outliers in surveys, statistical models for official statistics, and cohort analysis for micro-data in statistical surveys. At Waseda University, Dr. Saigo teaches statistics courses at both undergraduate and graduate levels, including 'Statistics,' 'Economic Statistics,' and specialized seminars on statistical methodology, reflecting his expertise in applying rigorous statistical methods to economic and social data analysis.

• Stochastic Processes
• High-Dimensional Statistics
• Financial Econometrics
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Yuta Koike is an Associate Professor at the Graduate School of Mathematical Sciences, University of Tokyo . His research focuses on statistical inference for stochastic processes , particularly in high-frequency financial data and high-dimensional statistics . He has contributed to covariance estimation under non-synchronous observations, microstructure noise, and jumps, and recently explores lead-lag relationships between stochastic processes. Research Interests : Stochastic processes, high-dimensional statistics, financial econometrics, high-frequency data, probability theory. Awards : The 32nd JSS Ogawa Award The 1st ISI Tokyo Memorial Award Editorial Roles : Associate Editor for Asia-Pacific Financial Markets (2019–present), Bernoulli (2025–present), and Japanese Journal of Statistics and Data Science (2023–present). Teaching : Courses in statistical analysis, econometrics, and probability theory at the University of Tokyo, Seijo University, and Tokyo Metropolitan University. His publications span journals like Annals of Statistics , Stochastic Processes and their Applications , and Journal of Theoretical Probability . He actively presents at international conferences, including the Joint Statistical Meetings and SPA Conference .