33 citations · 82 across the 16 of their papers we have counts for
5 papers · 1 filter
TraitLab: a Matlab package for fitting and simulating binary tree-like data
Luke J. Kelly, Geoff K. Nicholls, Robin J. Ryder +1
TraitLab is a software package for simulating, fitting and analysing tree-like binary data under a stochastic Dollo model of evolution. The model also allows for rate heterogeneity…
Distortion estimates for approximate Bayesian inference
Hanwen Xing, Geoff K. Nicholls, Jeong Eun Lee
Current literature on posterior approximation for Bayesian inference offers many alternative methods. Does our chosen approximation scheme work well on the observed data? The best…
Calibration procedures for approximate Bayesian credible sets
Jeong Eun Lee, Geoff K. Nicholls, Robin J. Ryder
We develop and apply two calibration procedures for checking the coverage of approximate Bayesian credible sets including intervals estimated using Monte Carlo methods. The user ha…
Scalable Bayesian Inference for the Inverse Temperature of a Hidden Potts Model
Matthew T. Moores, Geoff K. Nicholls, Anthony N. Pettitt +1
The inverse temperature parameter of the Potts model governs the strength of spatial cohesion and therefore has a major influence over the resulting model fit. A difficulty arises…
Coupled MCMC with a randomized acceptance probability
Geoff K. Nicholls, Colin Fox, Alexis Muir Watt
We consider Metropolis Hastings MCMC in cases where the log of the ratio of target distributions is replaced by an estimator. The estimator is based on m samples from an independen…