In this letter we generalise Ensemble Kalman inversion techniques to general Bayesian models where previously they were restricted to additive Gaussian likelihoods — all in the difficult setting where the likelihood can be sampled from, but its density not necessarily evaluated.

中文翻译：

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一般似然的集合卡尔曼反演

在这封信中，我们将集成卡尔曼反演技术推广到一般贝叶斯模型，以前它们仅限于加性高斯似然——所有这些都是在可以从中采样似然的困难环境中进行的，但不一定要评估其密度。