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Found 4 papers, 4 papers with code
Group Heterogeneity Assessment for Multilevel Models
Many data sets contain an inherent multilevel structure, for example, because of repeated measurements of the same observational units.
Uncertainty-aware Sensitivity Analysis Using Rényi Divergences
For nonlinear supervised learning models, assessing the importance of predictor variables or their interactions is not straightforward because it can vary in the domain of the variables.
Implicitly Adaptive Importance Sampling
Adaptive importance sampling is a class of techniques for finding good proposal distributions for importance sampling.
Variable selection for Gaussian processes via sensitivity analysis of the posterior predictive distribution
Variable selection for Gaussian process models is often done using automatic relevance determination, which uses the inverse length-scale parameter of each input variable as a proxy for variable relevance.
