Team LeaderTakashi Takenouchi
Visiting ScientistShotaro Akaho
Visiting ScientistShinto Eguchi
Visiting ScientistNoboru Murata
Probabilistic models are widely applicable to represent various kinds of phenomena and data, and appropriate estimation of parameters is an important issue for precise inference. Our target is models for which conventional methods cannot be easily applicable, and our purpose is to construct a framework of estimation having “good” statistical properties, by utilizing local information of models and information geometric properties.
[Poster] FY2018 Research Results (Written in Japanese)