BaMANI: Bayesian Multi-Algorithm causal Network InferenceHabibolla Latifizadeh, Anika C. Pirkey, Alanna Gould, David J. Klinke IIhttps://arxiv.org/abs/2508.11741 https://
BaMANI: Bayesian Multi-Algorithm causal Network InferenceImproved computational power has enabled different disciplines to predict causal relationships among modeled variables using Bayesian network inference. While many alternative algorithms have been proposed to improve the efficiency and reliability of network prediction, the predicted causal networks reflect the generative process but also bear an opaque imprint of the specific computational algorithm used. Following a ``wisdom of the crowds" strategy, we developed an ensemble learning approach …