Anandaroop Ray, Ph.D.

Affiliations: 
2014 Earth Sciences University of California, San Diego, La Jolla, CA 
Area:
Geophysics
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Kerry W. Key grad student 2014 UCSD
 (Trans-dimensional Bayesian Inversion of Controlled Source Electromagnetic Data.)
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Publications

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Blatter D, Naif S, Key K, et al. (2022) A plume origin for hydrous melt at the lithosphere-asthenosphere boundary. Nature. 604: 491-494
Blatter D, Ray A, Key K. (2021) Two-dimensional Bayesian inversion of magnetotelluric data using trans-dimensional Gaussian processes. Geophysical Journal International. 226: 548-563
Blatter D, Key K, Ray A, et al. (2019) Bayesian joint inversion of controlled source electromagnetic and magnetotelluric data to image freshwater aquifer offshore New Jersey Geophysical Journal International. 218: 1822-1837
Ray A, Myer D. (2019) Bayesian geophysical inversion with Gaussian process machine learning and trans-D Markov chain Monte Carlo Exploration Geophysics. 2019: 1-5
Blatter D, Key K, Ray A, et al. (2019) Bayesian joint inversion of controlled source electromagnetic and magnetotelluric data to infer presence of a freshwater aquifer offshore New Jersey Exploration Geophysics. 2019: 1-5
Blatter D, Key K, Ray A, et al. (2018) Trans-dimensional Bayesian inversion of airborne transient EM data from Taylor Glacier, Antarctica Geophysical Journal International. 214: 1919-1936
Xiong S, Fu Y, Ray A. (2017) Bayesian Nonparametric Regression Modeling of Panel Data for Sequential Classification. Ieee Transactions On Neural Networks and Learning Systems
Ray A, Sekar A, Hoversten GM, et al. (2016) Frequency domain full waveform elastic inversion of marine seismic data from the Alba field using a Bayesian trans-dimensional algorithm Geophysical Journal International. 205: 915-937
Ray A, Key K, Bodin T, et al. (2014) Bayesian inversion of marine CSEM data from the Scarborough gas field using a transdimensional 2-D parametrization Geophysical Journal International. 199: 1847-1860
Ray A, Key K, Bodin T. (2013) Hierarchical Bayesian Inversion of Marine CSEM Data Over the Scarborough Gas Field - A Lesson in Correlated Noise Seg Technical Program Expanded Abstracts
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