(1) On-going research on EEW in Japan through STAR-E project, (2)Minimum information dependence modeling: a new approach to mixed-domain data analysis with higher-order interaction (in-person presentation)
(1) Stephen Wu, (2) Keisuke Yano
Institute of Statistical Mathematics, Japan
- Date & Time
- Location
- In-person presentation (online via Microsoft Teams)
- Host
- Sarah Minson, Annemarie Baltay, and Elizabeth Cochran
- Summary
(1) Since 2021, the Seismology TowArd Research innovation with data of Earthquake (STAR-E) project has been established by the Japanese government to promote interdisciplinary research between data science and seismology. Five proposals have been accepted to be the core projects of STAR-E and EEW has become a sub-project in one of the selected projects. In this talk, I will provide an overview of the plan to improve EEW in Japan through integration with data science. While no concrete results have been obtained yet, I will share part of the blueprint of the possible EEW development in Japan for the future 5 years.
(2) In real data analysis, we often encounter mixed-domain data. Mixed-domain data refer to multivariate data in various domains such as real values, categorical values, manifold values, and functional values. In this presentation, we will introduce our minimum information dependence model. This statistical model is tailored to analyze mixed-domain data with potential higher-order dependencies. We will highlight its utility through its application in the ecological study of penguins and in the analysis of earthquake catalogs.
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