Fumiya AKASHI

Fumiya Akashi is an Assistant Professor in the Department of Economics at The University of Tokyo. His research focuses on mathematical statistics and time series analysis, with particular emphasis on statistical inference for infinite variance and long-memory time series models. His work includes robust estimation procedures based on empirical likelihood methods and self-normalization approaches for nonstandard data. He has published extensively in journals such as the Journal of Econometrics, Journal of Time Series Analysis, and Bernoulli. His research also extends to statistical analysis of directional data, with applications in wildfire orientation and seismic data analysis.