… A hierarchical Bayesian model has recently been developed … In this work, we extend the
method so that it can be applied … clustering information, and we test it on realistic simulations. …

… 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 …

… our Bayesian modelling analysis and our w AV analysis showed that the hierarchical structure
of Bayesian … The Bayesian causal inference model also outperformed the audiovisual full-…

… We contrast several methods in BDL which we discuss in more detail next. … , for which a
Bayesian perspective is principled. Bayesian approaches to uncertainty estimation have indeed …

… The case studies of lone-actor terrorists have been analysed extensively both qualitatively …
However, in contrast to models that describe the data streams directly, our state space model …

… classifier learning in traditional supervised learning [62]. In contrast, we replace the ground-…
posteriors, we combined the variational Bayesian method with a deep kernel technique to …

… In this paper, we propose a Bayesian hierarchical framework … models, hierarchical power
prior model and hierarchical … the hierarchical power prior and hierarchical commensurate …

… In contrast, subzonal diversification and the occupation of local … a recent Bayesian approach
for sampling evolutionary rate matrices (Caetano and Harmon 2017b) to test whether the …

… We propose a Bayesian approach to ease those burdens, and provide a rich case study of …
welfare based on that Bayesian framework, and contrast it with the Maximum Likelihood (ML) …

… However, in contrast to how humans categorize objects, these approaches have not yet … ,
we interpret a model prototype, show a case study of the model classifying a novel image, and …