23 citations · 32 across the 4 of their papers we have counts for
4 papers
Bayesian outcome-guided multi-view mixture models with applications in molecular precision medicine
Paul D. W. Kirk, Filippo Pagani, Sylvia Richardson
Clustering is commonly performed as an initial analysis step for uncovering structure in 'omics datasets, e.g. to discover molecular subtypes of disease. The high-throughput, high-…
EpiBeds: Data informed modelling of the COVID-19 hospital burden in England
Christopher E. Overton, Lorenzo Pellis, Helena B. Stage +9
The first year of the COVID-19 pandemic put considerable strain on the national healthcare system in England. In order to predict the effect of the local epidemic on hospital capac…
NuZZ: numerical Zig-Zag sampling for general models
Filippo Pagani, Augustin Chevallier, Sam Power +2
Markov chain Monte Carlo (MCMC) is a key algorithm in computational statistics, and as datasets grow larger and models grow more complex, many popular MCMC algorithms become too co…
An n-dimensional Rosenbrock Distribution for MCMC Testing
Filippo Pagani, Martin Wiegand, Saralees Nadarajah
The Rosenbrock function is an ubiquitous benchmark problem for numerical optimisation, and variants have been proposed to test the performance of Markov Chain Monte Carlo algorithm…