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The Ensemble Kalman Inversion Race

Gjini, Rebecca et al.
arXiv (All) · Papers
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data-analysismachine-learningstatistics-and-probability
Ensemble Kalman methods were initially developed to solve nonlinear data assimilation problems in oceanography but are now popular in applications far beyond their original use cases. Of particular interest is climate model calibration. As hybrid physics and machine-learning models advance, the numb
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