most citedBayesFlow 2: Multi-Backend Amortized Bayesian Inference in Python

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BayesFlow 2: Multi-Backend Amortized Bayesian Inference in Python

Lars Kühmichel, Jerry M. Huang, Valentin Pratz +11

Modern Bayesian inference involves a mixture of computational methods for estimating, validating, and drawing conclusions from probabilistic models as part of principled workflows.…

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Testing Hypotheses regarding Covariance and Correlation matrices with the R package CovCorTest

Paavo Sattler, Svenja Jedhoff

In addition to the commonly analyzed measures of location, dispersion measurements such as variance and correlation provide many valuable information. Consequently, they play a cru…