This book offers a comprehensive framework for mastering the complexities of learning high-dimensional sparse graphical models through the use of conditional independence tests. These tests are ...

In this article we discuss the problem of assessing the performance of Markov chain Monte Carlo (MCMC) algorithms on the basis of simulation output. In essence, we extend the original ideas of Gelman ...

We introduce a class of spatiotemporal models for Gaussian areal data. These models assume a latent random field process that evolves through time with random field convolutions; the convolving fields ...

Bar charts are a way to represent categorical data visually, in a horizontal or vertical display. Bars can be single, stacked, or grouped. By looking through the whole chart, it is easy to see the ...

Market segmentation lies ‘at the heart of successful marketing’ (McDonald 2010), yet market segmentation solutions are not trivial to interpret, especially if consumers are segmented using post hoc or ...