Japan Geoscience Union Meeting 2018

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[JJ] Oral

M (Multidisciplinary and Interdisciplinary) » M-GI General Geosciences, Information Geosciences & Simulations

[M-GI27] Data-driven geosciences

Tue. May 22, 2018 3:30 PM - 5:00 PM 301A (3F International Conference Hall, Makuhari Messe)

convener:Tatsu Kuwatani(Japan Agency for Marine-Earth Science and Technology), Hiromichi Nagao(Earthquake Research Institute, The University of Tokyo), Takane Hori(独立行政法人海洋研究開発機構・地震津波海域観測研究開発センター), Chairperson:Hori Takane, Ito Shin-ichi(東京大学地震研究所)

3:30 PM - 3:45 PM

[MGI27-07] Data-driven scientific approach through Monte Carlo methods

★Invited Papers

*Koji Hukushima1 (1.University of Tokyo)

Keywords:Data-driven science, Monte Carlo methods, inverse approach

Recently, the construction of a predictive model by data fitting has been extensively studied in a wide range of natural science. Introducing natural laws explicitly in the model is of great interest for understanding phenomena behind the data. It however complicates the analysis of data fitting. Here, we discuss some methodological explorations of simulation based fitting using Monte Carlo methods from the viewpoint of data-driven science.