Makoto Aoshima
About
Makoto Aoshima has authored 61 papers that have received a total of 547 indexed citations.
This includes 45 papers in Statistics and Probability, 23 papers in Artificial Intelligence and 15 papers in Molecular Biology. The topics of these papers are Statistical Methods and Inference (29 papers), Bayesian Methods and Mixture Models (17 papers) and Gene expression and cancer classification (15 papers). Makoto Aoshima is often cited by papers focused on Statistical Methods and Inference (29 papers), Bayesian Methods and Mixture Models (17 papers) and Gene expression and cancer classification (15 papers) and collaborates with scholars based in Japan, United States and Czechia. Makoto Aoshima's co-authors include Kazuyoshi Yata, Nitis Mukhopadhyay, Yoshikazu Takada, J. S. Marron and Haipeng Shen and has published in prestigious journals such as The Astrophysical Journal Supplement Series, Journal of Multivariate Analysis and Journal of Statistical Planning and Inference
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