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simulation-based inference

topic2 events

papersTODAY 04:00 UTC

Simulation-based inference used to calibrate ocean model mixing parameters

An arXiv preprint describes a method for tuning the free coefficients in vertical mixing parametrizations of single-column ocean models. Because these coefficients cannot be measured directly, the authors calibrate them against high-fidelity references such as large-eddy simulations using simulation-based inference. The approach is presented as an alternative to existing techniques that yield only point estimates.

research/simulation/ocean-modeling/calibration

papersSEP 10 04:00 UTC

Normalizing flow decomposition enables likelihood-free inference with nuisance parameters

A new arXiv paper proposes splitting a neural normalizing flow into components that expose a quantity close to a pivotal statistic when nuisance parameters are present. The approach requires only a sample generator from the target distribution rather than an explicit likelihood. This could simplify inference in settings where the likelihood is intractable but simulation is straightforward.

normalizing-flows/statistics/inference/research