Takesi Hayakawa
About
Takesi Hayakawa has authored 25 papers that have received a total of 357 indexed citations.
This includes 17 papers in Statistics and Probability, 11 papers in Artificial Intelligence and 4 papers in Applied Mathematics. The topics of these papers are Bayesian Methods and Mixture Models (11 papers), Statistical Methods and Inference (6 papers) and Random Matrices and Applications (6 papers). Takesi Hayakawa is often cited by papers focused on Bayesian Methods and Mixture Models (11 papers), Statistical Methods and Inference (6 papers) and Random Matrices and Applications (6 papers) and collaborates with scholars based in Japan, Canada and United States. Takesi Hayakawa's co-authors include Serge B. Provost, A. M. Mathai, Yasunori Fujikoshi, Colin Goodall and Minoru Siotani and has published in prestigious journals such as Technometrics, Biometrika and Journal of Statistical Planning and Inference.
In The Last Decade
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