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Development and numerical tests of a Bayesian approach to inferring shallow velocity structures using microtremor arrays

Ikuo Cho 1 4 Takaki Iwata 2 3
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1 Geological Survey of Japan, AIST, 1-1-1 Higashi, Tsukuba, Ibaraki 305-8567, Japan.

2 College of Community Development, Tokiwa University, 1-430-1 Miwa, Mito, Ibaraki 310-8585, Japan.

3 Institute of Statistical Mathematics, 10-3 Midori-cho, Tachikawa, Tokyo 190-8562, Japan.

4 Corresponding author. Email: ikuo-chou@aist.go.jp

Exploration Geophysics 49(6) 881-890 https://doi.org/10.1071/EG18011
Submitted: 17 January 2018  Accepted: 19 January 2018   Published: 19 March 2018
Originally submitted to SEGJ 1 June 2017, accepted 22 October 2017  



5 articles found in Crossref database.

Shallow Microtremor Array Survey Using Miniature and Small Arrays: Strategy for Efficient and Feasible Dense Survey
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Earth and Space Science. 2024 11(7).
Spatial autocorrelation method for simple microtremor array survey at rock/stiff-soil sites
Cho Ikuo
Geophysical Journal International. 2023 233(2). p.1296
Compensating for the Impact of Incoherent Noise in the Spatial Autocorrelation Microtremor Array Method
Cho Ikuo
Bulletin of the Seismological Society of America. 2019 109(1). p.199
Basic performance of a spatial autocorrelation method for determining phase velocities of Rayleigh waves from microtremors, with special reference to the zero-crossing method for quick surveys with mobile seismic arrays
Cho Ikuo, Senna Shigeki, Wakai Atsushi, Jin Kaoru, Fujiwara Hiroyuki
Geophysical Journal International. 2021 226(3). p.1676
A Bayesian Approach to Microtremor Array Methods for Estimating Shallow S Wave Velocity Structures: Identifying Structural Singularities
Cho Ikuo, Iwata Takaki
Journal of Geophysical Research: Solid Earth. 2019 124(1). p.527
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