This beautifully illustrated book draws on the latest archaeological discoveries to present a
radical reappraisal of the Anglo-Saxon built environment and its inhabitants. John Blair, one …

There is a lack of methodological results to design efficient Markov chain Monte Carlo
(MCMC) algorithms for statistical models with discrete-valued high-dimensional parameters …

Traditional Bayesian random partition models assume that the size of each cluster grows
linearly with the number of data points. While this is appealing for some applications, this …

The perfect learning exists. We mean a learning model that can be generalized, and
moreover, that can always fit perfectly the test data, as well as the training data. We have …

We have modified the Potts Model Swendsen-Wang algorithm to insert some clusters
constraints by applying a modified agglomerative clustering approach (Kurita, 1991). We …

Design of informed Metropolis-Hastings proposal distributions Page 1 Introduction and
motivation Locally Balanced Proposals Peskun ordering Connection to other schemes Design …