Session Outline

Solid Earth Sciences (S)
Session Sub-category		Technology & Techniques (TT)
Session ID		S-TT51
Title		State-of-the-Art Seismic Data Analysis Based on Bayesian Statistics
Short Title		Bayesian Analysis of Seismic Data
Main Convener	Name	Hiromichi Nagao
	Affiliation	Earthquake Research Institute, The University of Tokyo
Co-Convener 1	Name	Aitaro Kato
	Affiliation	Earthquake Research Institute, the University of Tokyo
Co-Convener 2	Name	Keisuke Yano
	Affiliation	The Institute of Statistical Mathematics
Co-Convener 3	Name	Daisuke Sato
	Affiliation	Japan Agency for Marine-Earth Science and Technology
Session Language		E
Scope		Bayesian statistics forms the mathematical foundation of various data anaysis methods, such as machine learning including artificial intelligence. This session mainly accepts presentations that focus on seismic data analysis, especially related to analysis methods based on Bayesian statistics such as machine learning, deep learning and data assimilation, and their applications to real seismic data. Presentations related to mathematical or statistical theories beneficial to data analyses, feasibility studies of algorithms eventually applicable to real seismic data, and the current status of seismic observations and analysis results are also highly welcome.
Session Format		Orals and Posters session