… In contrast to much of traditional vision research, which typically focuses on … -driven
approaches, evident by the dominance of the objective prior learned by the empirical Bayes method …

… As a case study, we analyzed and compared the effects of informative and incentive ISAs
based on trajectory data for roads within selected Zone 30 areas that were previously collected …

… We explore this visually by contrasting the PMP and (natural logarithmic) BF approximations
of bridge sampling with the two neural network variants in Figure 5. We observe that the two …

… neuroimaging data analysis scenarios. We propose a hierarchical Bayesian approach in …
In contrast, the maximum MSLL for the hierarchical Bayesian models was max -0.056 for the …

… learned scores, Bayesian approaches and scores obtained … contrast to object-level corner
cases, in this case while we might want pixel-wise semantic segmentation labels for our visual …

… on a bank of adaptive Augmented Kalman filters. Section 4 contains the analysis results
of the proposed scheme, which are demonstrated by means of two different case studies of …

… method for harmonizing neuroimaging data. ComBat uses an empirical Bayes method for …
fact that our anomaly detection method is, in contrast, an unsupervised approach; in the sense …

… A hierarchical Bayesian method is proposed that can be … The method incorporates the
generalized linear model and … a general-purpose, flexible hierarchical Bayesian model that can be …

… Here, we consider how they may comprise a parallel hierarchical architecture that combines
inference, information-seeking, and adaptive value-based control. This sheds light on the …

… transformation, Appendix A—but in a fully Bayesian approach, ie, in the HBR framework,
yielding … In contrast, the HBR method provides better control because it allows modeling batch …