1 citations · 1 across the 3 of their papers we have counts for
3 papers
Spatial Latent Gaussian Modelling with Change of Support
Erick A. Chacón-Montalván, Peter M. Atkinson, Christopher Nemeth +2
Spatial data are often derived from multiple sources (e.g. satellites, in-situ sensors, survey samples) with different supports, but associated with the same properties of a spatia…
SwISS: A Scalable Markov chain Monte Carlo Divide-and-Conquer Strategy
Callum Vyner, Christopher Nemeth, Chris Sherlock
Divide-and-conquer strategies for Monte Carlo algorithms are an increasingly popular approach to making Bayesian inference scalable to large data sets. In its simplest form, the da…
Sequential Estimation of Temporally Evolving Latent Space Network Models
Kathryn Turnbull, Christopher Nemeth, Matthew Nunes +1
In this article we focus on dynamic network data which describe interactions among a fixed population through time. We model this data using the latent space framework, in which th…