Fig. 3: Bayesian inference predictions for probabilities of competing models. | Nature Communications

Fig. 3: Bayesian inference predictions for probabilities of competing models.

From: Understanding capacity fade in organic redox-flow batteries by combining spectroscopy with statistical inference techniques

Fig. 3: Bayesian inference predictions for probabilities of competing models.The alternative text for this image may have been generated using AI.

a Results of Bayesian model selection, showing the probabilities that UV–vis data in Fig. 2 are explained by a decay model with one versus two versus three Michael addition reactions. The results indicate that two Michael additions has a significantly higher probability compared with the other models. b Marginal posterior probability distribution of the reaction orders (m) for the BQDS decay model with two Michael addition reactions (\({\mathbb{P}}({m}_{1},{m}_{2}|y,{{{{{{{\mathcal{M}}}}}}}})\)). The combination m1 = m2 = 1 has a probability very close to 1.

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