Shun-ichi Amari is, along with N. N. Chentsov, a pioneer of information geometry and its applications to machine learning.
Shun-ichi Amari, O. E. Barndorff-Nielsen, R. E. Kass, S. L. Lauritzen, C. R. Rao, Differential geometry in statistical inference (project Euclid)
Shun-ichi Amari, Information geometry and its applications, Applied Mathematical Sciences 194, Springer 2016
Shun-ichi Amari, Hiroshi Nagaoka, Methods of information geometry, Transactions of mathematical monographs 191, American Mathematical Society, 2000.
Shun-ichi Amari, T. Ozeki, H. Park, Learning and inference in hierarchical models with singularities, Syst. Comput. Japan 34:7 (2003) 34–42
Created on April 7, 2023 at 12:36:45. See the history of this page for a list of all contributions to it.