5 citations · 8 across the 5 of their papers we have counts for
5 papers
Bayesian profile regression for clustering analysis involving a longitudinal response and explanatory variables
Anaïs Rouanet, Rob Johnson, Magdalena E Strauss +4
The identification of sets of co-regulated genes that share a common function is a key question of modern genomics. Bayesian profile regression is a semi-supervised mixture modelli…
Bayesian exponential random graph models for populations of networks
Brieuc Lehmann, Simon White
The collection of data on populations of networks is becoming increasingly common, where each data point can be seen as a realisation of a network-valued random variable. A canonic…
The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-up
Razvan V. Marinescu, Neil P. Oxtoby, Alexandra L. Young +93
We present the findings of "The Alzheimer's Disease Prediction Of Longitudinal Evolution" (TADPOLE) Challenge, which compared the performance of 92 algorithms from 33 international…
Infinite Sparse Structured Factor Analysis
Matthew C. Pearce, Simon R. White
Matrix factorisation methods decompose multivariate observations as linear combinations of latent feature vectors. The Indian Buffet Process (IBP) provides a way to model the numbe…
Fast Approximate Bayesian Computation for discretely observed Markov models using a factorised posterior distribution
Simon R. White, Theodore Kypraios, Simon P. Preston
Many modern statistical applications involve inference for complicated stochastic models for which the likelihood function is difficult or even impossible to calculate, and hence c…