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Found 4 papers, 2 papers with code
Neural Likelihood Surfaces for Spatial Processes with Computationally Intensive or Intractable Likelihoods
We conclude that our method provides fast and accurate parameter estimation with a reliable method of uncertainty quantification in situations where standard methods are either undesirably slow or inaccurate.
Simulator-Based Inference with Waldo: Confidence Regions by Leveraging Prediction Algorithms and Posterior Estimators for Inverse Problems
We also illustrate how our approach can correct overly confident posterior regions computed with normalizing flows.
Model-Independent Detection of New Physics Signals Using Interpretable Semi-Supervised Classifier Tests
Here we instead investigate a model-independent method that does not make any assumptions about the signal and uses a semi-supervised classifier to detect the presence of the signal in the experimental data.
Applications High Energy Physics - Phenomenology Data Analysis, Statistics and Probability
Locally stationary spatio-temporal interpolation of Argo profiling float data
Argo floats measure sea water temperature and salinity in the upper 2, 000 m of the global ocean.
Applications Atmospheric and Oceanic Physics Methodology
