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20172021
most citedDetecting and diagnosing prior and likelihood sensitivity with power-scaling

58 citations · 131 across the 5 of their papers we have counts for

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Showing 2019Show all

2 papers · 1 filter

stat.ME2019★ 1 cited

Uncertainty-aware Sensitivity Analysis Using Rényi Divergences

Topi Paananen, Michael Riis Andersen, Aki Vehtari

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 vari…

stat.CO2019★ 39 cited

Implicitly Adaptive Importance Sampling

Topi Paananen, Juho Piironen, Paul-Christian Bürkner +1

Adaptive importance sampling is a class of techniques for finding good proposal distributions for importance sampling. Often the proposal distributions are standard probability dis…