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

2 citations · 4 across the 5 of their papers we have counts for

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stat.CO2026

NoLimits.jl: Flexible and Composable Nonlinear Mixed-Effects Modeling in Julia

Manuel Huth, Jonas Arruda, Nina Schmid +4

Nonlinear mixed-effects models are widely used to analyze longitudinal data, but existing open-source software often supports only a limited subset of the model structures, inferen…

stat.CO2026★ 2 cited

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.…