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Award ID contains: 1450310

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  1. ; ; ; ( , Computing and Software for Big Science)
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  2. ; ; ( , Proceedings of the National Academy of Sciences)

    Many domains of science have developed complex simulations to describe phenomena of interest. While these simulations provide high-fidelity models, they are poorly suited for inference and lead to challenging inverse problems. We review the rapidly developing field of simulation-based inference and identify the forces giving additional momentum to the field. Finally, we describe how the frontier is expanding so that a broad audience can appreciate the profound influence these developments may have on science.

     
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  3. ; ; ; ; ; ( , Journal of Physics: Conference Series)
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  4. ; ; ; ( , Physical Review D)
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