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Adaptive Model-Switch Thermodynamic Integration: A Bayes Factor Estimator
Bayes factors are a widely used model comparison criterion, but are often quite challenging and computationally expensive to estimate well. We propose a variation of the model-switch thermodynamic integration method for estimating Bayes factors that decreases the variance of the estimator and essent
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