GitHub / exoInference / loo_cv_tutorials
This project provides a tutorial on performing leave-one-out cross-validation (LOO-CV) using the Pareto-smoothed importance sampling (PSIS) approximation. The tutorial leverages the arviz package and applies these techniques to a synthetic dataset from Welbanks et al. 2023, focusing on exoplanet atmospheric analysis.
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Language: Jupyter Notebook
Size: 14.5 MB
Dependencies parsed at: Pending
Created at: 10 months ago
Updated at: 10 months ago
Pushed at: 10 months ago
Last synced at: 10 months ago
Topics: atmospheres, exoplanets, leave-one-out-cross-validation