Yohji Akama is an Associate Professor of Mathematics Institute at Tohoku University. He obtained a master's
and doctorate degrees in Informatics from Tokyo Institute of Technology. He was a Research Fellow of Japan
Society for the Promotion of Science during 1992-1995. He served as Research Associate, Department of
Information Science, Tokyo University in 1995-1999. He was a temporary researcher of National Institute of
Advanced Industrial Science and Technology (1997-1998), Hitotsubashi University (1998-1999), Kobe University
(2002-2003), Kyoto University (2002-2003), Kyushu University (2005-2006), Fudan University (2019-2020).
Since 1999, he served as Associate Professor at Tohoku University. His academic interest areas are discrete
mathematics, and theoretical computer science. He published many conference papers in logic and
theoretical computer science, and papers on discrete mathematics in relation to statistics and geometry.
Recent talks
Asymptotic locations of bounded and unbounded eigenvalues of sample correlation matrices of certain factor models -- application to a components retention rule (with Peng Tian), in an invited organized session ``Time Series Forecasting and High-dimensional Modeling"(Organizer: Mike Ka Pui SO, Hong Kong University of Science and Technology) of EAC-ISBA CONFERENCE 2024 (International Society for Bayesian Analysis), 25-26 Jun. 2024.
Broken-stick components retention rule for equi-correlated normal population, invited, International Symposium on Recent Advances in Theories and Methodologies for Large Complex Data, 7 Dec. 2023.
Correlation matrix of equi-correlated normal population: fluctuation of the largest eigenvalue, scaling of the bulk eigenvalues, and stock market, Invited, International Symposium on Advanced and Sustainable Science and Technology (2023), National Chung Hsing University, Taiwan, 12 Sep. 2023.
Correlation matrix of factor model: Fluctuation of largest eigenvalue, scaling of bulk eigenvalues, and stock market, in an invited organized session of 6th International Conference on Econometrics and Statistics (EcoSta 2023), 1 Aug. 2023.
A phase transition of various retention rules from multivariate analysis for big datasets (with Atina Husnaqilati). 23 Aug, 10th international congress on industrial and applied mathematics (ICIAM 2023 Tokyo), contributed talk, `` Design of statistical experiments (62K) / Limit theorems in probability theory (60F)''
Limit of second largest eigenvalue of factor models -- application to a components retention rule and industrial equi-correlation, in the invited session 21 "Time Series Forecasting and High-dimensional Modeling" (Organizer: Mike Ka Pui SO), 26 Jun 2024 (Wed).EAC-ISBA 2024 conference (Eastern Asia Chapter of the International Society for Bayesian Analysis )
International Workshop on Graphs and Probability (15 August 2024)